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ORCIDBigData Conference 2023: Sorrento, Italy
- Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal:
IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023. IEEE 2023, ISBN 979-8-3503-2445-7 - Fatimah Alotaibi, Dawei Zhou:
Towards Bi-Level Out-of-Distribution Logical Reasoning on Knowledge Graphs. 1-5 - Stratos Idreos:
The Data Systems Grammar: Self-designing Systems for the era of AI. 1 - Raffaele Russo, Giuliano Di Giuseppe, Alessandro Vanacore, Valerio La Gatta, Antonino Ferraro, Antonio Galli, Marco Postiglione, Vincenzo Moscato:
Graph-Based Approach for European Law Classification. 1-9 - Weili Sun, Boyu Gao, Jiahao Chen, Shuyan Huang, Weiqi Luo:
An Interactive Framework of Balancing Evaluation Cost and Prediction Accuracy for Knowledge Tracing. 1-8 - Vipin Kumar:
Knowledge-Guided Machine Learning: A New Framework for Accelerating Scientific Discovery and Addressing Global Environmental Challenges. 2 - Qiong Luo:
GPU Acceleration for Data Processing and Analytics. 3 - Minos N. Garofalakis:
Have your data and share it too: Private data analytics at scale. 4 - Jeffery Ullman:
Big-Data Algorithms That Are Not Machine Learning. 5 - Yichuan Deng, Yeqi Gao, Zhao Song:
Solving Tensor Low Cycle Rank Approximation. 6-16 - Wenqing Hu, Tiefeng Jiang, Birendra Kathariya, Vikram Abrol, Jiali Zhang, Zhu Li:
Subspace Interpolation and Indexing on Stiefel and Grassmann Manifolds as a Lightweight Inference Engine. 17-26 - Wen Huang, Jingbo Zhou, Xintao Wu, Dejing Dou:
Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach. 27-36 - Hsiang-Yu Ku, Che-Rung Lee:
CoMABO: Covariance Matrix Adaptation for Bayesian Optimization. 37-45 - Hou-Wan Long, Xiongfei Zhao, Yain-Whar Si:
Dynamic Mining Interval to Improve Blockchain Throughput. 46-55 - Lianke Qin, Aravind Reddy, Zhao Song:
Online Adaptive Mahalanobis Distance Estimation. 56-65 - Stijn J. Rotman, Boris Cule, Len Feremans:
Efficiently Mining Frequent Representative Motifs in Large Collections of Time Series. 66-75 - Rohit P. Singh, Philip A. Wilsey:
Compact Boundary Matrix from a Polytopal Complex for Computing Persistent Homology. 76-85 - Xiuqin Xu, Mingwei Lin, Wenqiang Li, Jianpeng Zhang, Hao Wu:
Time-varying QoS Estimation via Non-negative Latent Factorization of Tensors with Extended Linear Biases. 86-95 - Radhika Joshi, Calvin Thomas Dani, Shiva Jahangiri:
Big Data Management System Architectures: From Opportunities to Challenges [Vision]. 96-101 - Na Li, Yiyang Qi, Ruyue Xin, Zhiming Zhao:
Ocean Data Quality Assessment through Outlier Detection-enhanced Active Learning. 102-107 - Abisha Thapa Magar, Anup Shakya, Somdeb Sarkhel, Deepak Venugopal:
Verifying Relational Explanations: A Probabilistic Approach. 108-115 - Emanuela Marasco:
Vision Paper: Hyperspectral Analysis of Finger Skin Reflectance for Resilient Biometric Systems. 116-120 - Kaiming Ouyang, Vincent Tran, Jinyang Liu, Bryan M. Wong, Zizhong Chen:
KF K-means: A High Performance K-means Implementation using Kernel Fusion. 121-127 - Lianke Qin, Saayan Mitra, Zhao Song, Yuanyuan Yang, Tianyi Zhou:
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training. 128-133 - Ali Sekmen, Bahadir Bilgin, Guy Sereff:
Quality Ranking for Synthetically Generated Images. 134-138 - Nawras Alnaasan
, Matthew Lieber, Aamir Shafi, Hari Subramoni, Scott A. Shearer, Dhabaleswar K. Panda:
HARVEST: High-Performance Artificial Vision Framework for Expert Labeling using Semi-Supervised Training. 139-148 - Chengcheng Mou, Minh Pham, Benjamin Hsu, Yicheng Tu:
Computing Group-By and Aggregates on Massively Parallel Systems. 149-158 - Wei Qiu, Marcin Copik, Yun Wang, Alexandru Calotoiu, Torsten Hoefler:
User-guided Page Merging for Memory Deduplication in Serverless Systems. 159-169 - Michelle S. Zhou:
PieRank: Embedded Large-Scale Sparse Matrix Processing. 170-181 - Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao:
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. 182-189 - Edward Curry, Tarek Zaarour, Yang Yang, Mohan Timilsina, Majjed Al-Qatf, Rafiqul Haque:
Foundation Data Space Models: Bridging the Artificial Intelligence and Data Ecosystems (Vision Paper). 190-195 - Edward Curry:
Towards Open World Event Processing: A Paradigm and Research Agenda for Event Processing for the Internet of Multimedia Things (Vision Paper). 196-200 - Eduardo Davalos, Umesh Timalsina, Yike Zhang, Jiayi Wu, Joyce Horn Fonteles, Gautam Biswas:
ChimeraPy: A Scientific Distributed Streaming Framework for Real-time Multimodal Data Retrieval and Processing. 201-206 - Isuru Dharmadasa, Faheem Ullah:
Co-Tuning of Cloud Infrastructure and Distributed Data Processing Platforms. 207-214 - Mohsen Koohi Esfahani, Paolo Boldi, Hans Vandierendonck, Peter Kilpatrick, Sebastiano Vigna:
On Overcoming HPC Challenges of Trillion-Scale Real-World Graph Datasets. 215-220 - Anthony D'Onofrio Jr., Amir Hossain, Lesther Santana, Naseem Machlovi, Samuel Stein, Jinwei Liu, Ang Li, Ying Mao:
Distributed Quantum Learning with co-Management in a Multi-tenant Quantum System. 221-228 - Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. 229-236 - Jinwei Liu, Yingjie Lao, Ying Mao, Rajkumar Buyya:
Sailfish: A Dependency-Aware and Resource Efficient Scheduling for Low Latency in Clouds. 237-246 - Dimitar Misev, Mikhail Rodionychev, Peter Baumann:
Performance of Null Handling in Array Databases. 247-254 - Masanobu Nozawa, Satoshi Imamura, Kenji Kono:
Accelerating Multilingual Applications with In-memory Array Sharing. 255-262 - Ahmad Slo, Sukanya Bhowmik, Kurt Rothermel:
gSPICE: Model-Based Event Shedding in Complex Event Processing. 263-270 - Manal A. Alshehri, Xiangliang Zhang:
Forgetting User Preference in Recommendation Systems with Label-Flipping. 271-281 - Stefano Fiorini, Michele Ciavotta, Carlo Liberto, Gaetano Valenti:
On-Street Parking Prediction: A Comparative Study. 282-291 - Minh Pham, Craig A. Knoblock, Muhao Chen:
Detecting Semantic Errors in Tables using Textual Evidence. 292-303 - Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu:
TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network. 304-314 - Ga Wu, Shivam Khare, Li Zhou, Yael Brumer, Jun-Ping Ng, Ruowei Wang:
Large-scale User Preference Tracking via Asynchronous and Asymmetric Updating at Twitter. 315-324 - Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Multiloss-Based Optimization for Time Series Data Augmentation. 325-330 - Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa, Salman Ahmed Shaikh, Akiyoshi Matono:
Efficient Missing Value Imputation by Maximum Distance Likelihood. 331-338 - Vasilis Efthymiou, Ekaterini Ioannou, Manos Karvounis, Manolis Koubarakis, Jakub Maciejewski, Konstantinos Nikoletos, George Papadakis, Dimitrios Skoutas, Yannis Velegrakis, Alexandros Zeakis:
Self-configured Entity Resolution with pyJedAI. 339-343 - Parveen Kaur, Kshirasagar Naik, Richard Purcell, Srinivas Sampalli, Chung-Horng Lung, Marzia Zaman, Abdul Mutakabbir:
A Data Integration Framework with Multi-Source Big Data for Enhanced Forest Fire Prediction. 344-351 - Xi Niu, Ruhani Rahman, Xiangcheng Wu, Zhe Fu, Depeng Xu, Riyi Qiu:
Leveraging Uncertainty Quantification for Reducing Data for Recommender Systems. 352-359 - Pravin Poudel, Will Usher, Steve Petruzza:
Multi-layer Caching and Parallel Streaming for Large Scale Cloud Optimized Point Cloud Data Visualization using WebGPU. 360-365 - Yuewen Shen, Xinhao Yang, Jiayu Zhao, Ze Li:
An Analysis of Combined Data Augmentation in Time Series Prediction Tasks Using Discrete Wavelet Multilevel Decomposition. 366-371 - Naoto Takeda, Akihiro Kobayashi, Yudai Yamazaki, Daisuke Kamisaka:
Fine-Grained Urban Population Distribution Estimation Using Image Super-Resolution Model with Rich Auxiliary Information. 372-376 - Yu Zhang, Haiwei Pan, Kejia Zhang, Tianming Zhang, Qingquan Ren, Wenjie Li:
Dual-Path Side Information Fusion for Sequential Recommendation. 377-382 - Alexander Kalinowski, Deepayan Datta, Yuan An:
A Scalable Approach to Aligning Natural Language and Knowledge Graph Representations: Batched Information Guided Optimal Transport. 383-392 - Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu:
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. 393-402 - Guojun Liu, Yuefeng Ma, Xun Liang:
Cross-Domain Fake News Detection Based on Coarse-Fine Grained Environments Reflecting Public Expectation. 403-412 - Ashwin Rao, Siyi Guo, Sze-Yuh Nina Wang, Fred Morstatter, Kristina Lerman:
Pandemic Culture Wars: Partisan Differences in the Moral Language of COVID-19 Discussions. 413-422 - Pattara Sukprasert, Gromit Yeuk-Yin Chan, Ryan A. Rossi, Fan Du, Eunyee Koh:
Discovery and Matching Numerical Attributes in Data Lakes. 423-432 - Shaun Toh, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee:
MERMAID: A Dataset and Framework for Multimodal Meme Semantic Understanding. 433-442 - Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh:
Sketching Multidimensional Time Series for Fast Discord Mining. 443-452 - Hang Yin, Yao Su, Xinyue Liu, Thomas Hartvigsen, Yanhua Li, Xiangnan Kong:
Multi-State Brain Network Discovery. 453-462 - Yongsheng Yu, Jia Wu, Jian Yang:
Social Event Detection with Reinforced Deep Heterogeneous Graph Attention Network. 463-472 - Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu:
ID-MixGCL: Identity Mixup for Graph Contrastive Learning. 473-482 - Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu:
Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation. 483-492 - Joyanta Basak, Sartaj Sahni, Sanguthevar Rajasekaran:
SuperBlocking: An Efficient Blocking Technique for Record Linkage. 498-503 - Huiwen Dong, Qing-Guo Wang, Wei Ding:
Chain-Based Outlier Detection for Complex Data Scenarios. 504-509 - Blake B. Gaines, Minghu Song, Jinbo Bi:
Mining Large-Scale Knowledge Graphs for Chemical Reaction Fingerprints. 510-515 - Jiehui Liu, Jieyu Zhan:
Constructing Knowledge Graph from Cyber Threat Intelligence Using Large Language Model. 516-521 - Juntong Luo, Scott Sallinen, Matei Ripeanu:
Maximum Flow on Highly Dynamic Graphs. 522-529 - Qizhong Mao, Vagelis Hristidis:
Increase Merge Efficiency in LSM Trees Through Coordinated Partitioning of Sorted Runs. 530-535 - Chenxu Niu, Wei Zhang, Suren Byna, Yong Chen:
PSQS: Parallel Semantic Querying Service for Self-describing File Formats. 536-541 - Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed:
Efficient Estimation of Local Causal Effects in Graphs via Neighborhood Pooling. 542-547 - Karan Samel, Jun Ma, Zhengyang Wang, Tong Zhao, Irfan Essa:
Integrating Noisy Knowledge into Language Representations for E-Commerce Applications. 548-553 - Haozhe Tian, Haibo Hu, Qingqing Ye:
CGP: Centroid-guided Graph Poisoning for Link Inference Attacks in Graph Neural Networks. 554-561 - Zuxuan Zhang, Hongxi Li, Kai Huang, Yuncheng Jiang:
k-bitruss-Attributed Weighted Community Search on Attributed Weighted Bipartite Graphs. 562-567 - Aarti, Jagat Sesh Challa, Utkarsh Darolia, Mridul Chandak, Poonam Goyal, Navneet Goyal:
An Adaptive Hierarchical Method for Anytime Set-wise Clustering of Variable and High-Speed Data Streams. 568-577 - Ademola Adesokan, Sanjay Madria:
NeuEmot: Mitigating Neutral Label and Reclassifying False Neutrals in the 2022 FIFA World Cup via Low-Level Emotion. 578-587 - David Baumgartner, Helge Langseth, Heri Ramampiaro, Kenth Engø-Monsen:
mTADS: Multivariate Time Series Anomaly Detection Benchmark Suites. 588-597 - Zongyi Chen, Sanchuan Guo, Liyan Shen, Xi Zhang, Zhuonan Chang:
Improving Knowledge Distillation for Federated Learning on Non-IID Data. 598-607 - Pengnan Chi, Xiaoliang Ma:
Difforecast: Image Generation Based Highway Traffic Forecasting with Diffusion Model. 608-615 - Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park:
WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data. 616-625 - Yueh-Lin Chung, Hsing-Kuo Pao:
Density-Based Prototypical Contrastive Learning on Visual Representations. 626-635 - Zhongfen Deng, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu, Wenting Zhao, Tao Zhang, Yibo Wang, Philip S. Yu:
Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification. 636-645 - Tomojit Ghosh, Michael Kirby:
Feature Selection on Big Data using Masked Sparse Bottleneck Centroid-Encoder. 646-655 - Dongyun Han, Isaac Cho:
Interactive Visualization for Smart Power Grid Efficiency and Outage Exploration. 656-661 - Yaowei Hu, Jacob Lear, Lu Zhang:
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning. 662-671 - Wanchang Jiang, Yuxin Jiang:
Adaptive Shrinkage Denoising and Sequential State Extraction Model for Vibration Event Recognition. 672-679 - Yuhui Jiang, Xingjian Lu, Wei Mao, Ying Li:
Integrating Staleness and Shapley Value Consistency for Efficient K-Asynchronous Federated Learning. 680-689 - Ahmad Faraz Khan, Yuze Li, Xinran Wang, Sabaat Haroon, Haider Ali, Yue Cheng, Ali Raza Butt, Ali Anwar:
Towards cost-effective and resource-aware aggregation at Edge for Federated Learning. 690-699 - Yang Li, Yaying Zhang:
Spatial-Temporal Dynamic Graph Diffusion Convolutional Network for Traffic Flow Forecasting. 700-709 - Mark Junjie Li, Wenzhu Cai, Yigang Lin, Sunjie Huang, Joshua Zhexue Huang, Patrick Xiaogang Peng:
RSP-gcForest: A Distributed Deep Forest via Random Sample Partition. 710-717 - Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
CELS: Counterfactual Explanations for Time Series Data via Learned Saliency Maps. 718-727 - Yanhong Li, Jack Xu, David C. Anastasiu:
SEED: An Effective Model for Highly-Skewed Streamflow Time Series Data Forecasting. 728-737 - Ling-Feng Liao, Deeksha Arya, Yoshihide Sekimoto:
Unveiling the Road Matrix: Development of Versatile Pavement Surface Models from Low-resolution Aerial Images. 738-747 - Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park:
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. 748-757 - Yintai Ma, Diego Klabjan:
Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm. 758-767 - Nicholas O. Malott, Philip A. Wilsey:
Scalable Homology Classification through Decomposed Euler Characteristic Curves. 768-777 - Junki Mori, Ryo Furukawa, Isamu Teranishi, Jun Sakuma:
Heterogeneous Domain Adaptation with Positive and Unlabeled Data. 778-787 - Preetam Nandy, Xiufan Yu, Wanjun Liu, Ye Tu, Kinjal Basu, Shaunak Chatterjee:
Generalized Causal Tree for Uplift Modeling. 788-798 - Phuong Nguyen, Hiep Tran, Tuan M. V. Le:
Multi-view Deep Markov Models for Time Series Anomaly Detection. 799-808 - Hanbyeol Park, Dohee Kim, Minseop Kim, Mingyu Park, Hyerim Bae, Yunkyung Park:
A novel training mechanism for health indicator construction and remaining useful lifetime (RUL) prediction. 809-818 - Wenting Qi, Charalampos Chelmis:
Hybrid Loss for Hierarchical Multi-label Classification Network. 819-828 - Hadi Salman, Caleb Parks, Matthew Swan, John Gauch:
OrthoNets: Orthogonal Channel Attention Networks. 829-837 - Karan Samel, Houyu Zhang, Jun Ma, Haoming Jiang, Qing Ping, Sheng Wang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce. 838-846 - Chun-Wei Seah, Chia-Yu Hung, Yujia Hu, Hai Leong Chieu, Roy Ka-Wei Lee:
Interpretable Sock Puppet Attribution. 847-856 - Syed Attique Shah, Xiaoyang Zeng, Awais Ahmed, Shaheed Parvez, Rui Xi, Mengshu Hou:
Multi-Instance Bias Suppression for Enhanced Generalization in Breast Cancer Diagnosis : Harnessing Histopathological Big Data Insights. 857-864 - Konstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang, Leman Akoglu:
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach. 865-874 - Jinyan Su, Peilin Yu, Jieyu Zhang, Stephen H. Bach:
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision. 875-884 - Yimin Sun, Xiaobo Zhang, Zhehao Zhang, Yunyang Wu, Haihao Tang, Haonan Luo:
ABF-FNN: A new fuzzy neural network for predicting coal mine gas concentration hazard. 885-894 - Yanshen Sun, Kaiqun Fu, Chang-Tien Lu:
RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction. 895-904 - Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation. 905-914 - Rikuto Tsubouchi, Takahiro Hara, Kei Yonekawa, Shuichiro Haruta:
Unvisited Out-Of-Town POI Recommendation with Simultaneous Learning of Multiple Regions. 915-924 - Sahil Tyagi, Martin Swany:
Flexible Communication for Optimal Distributed Learning over Unpredictable Networks. 925-935 - Qingtian Wang, Shuze Shi, Jiabin He, Jianlin Peng, Tingxi Liu, Renliang Weng:
IIP-Transformer: Intra-Inter-Part Transformer for Skeleton-Based Action Recognition. 936-945 - Tianqi Wang, Lei Chen, Jing Gao:
A Prior-Guided Meta-Weight Network for Long-tailed Noisy Data in Item Categorization. 946-955 - Wenqi Wei, Mu Qiao, Divyesh Jadav:
GNN-Ensemble: Towards Random Decision Graph Neural Networks. 956-965 - Keke Wu, Xiangru Jian, Rui Du, Jingrun Chen, Xiang Zhou:
Roughness Index for Loss Landscapes of Neural Network Models of Partial Differential Equations*. 966-975 - Xueming Xu, Ruirui Zhao, Jichao Li, Jianbin Sun:
Ultra-wide Band Positioning with Signal Interference based on Two-Stream Residual Network. 976-985 - Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme:
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series. 986-995 - Peiying Zeng, Liying Jiang, Yongxuan Lai, Fan Yang:
Traffic Demand Prediction Based on Multi-dimensional Graph Convolutional Network. 996-1004 - Yong Zhang, Feng Xiong, Kai Zhang, Jiaxian Wang:
Document-Level Event Argument Extraction Based on Bidirectional Span Detection. 1005-1011 - Wang Zhang, Xin Wang, Yuhong Wu, Xingpeng Zhang, Huayi Zhan:
Enhancing Representation Learning with Label Association for Multi-Label Text Classification. 1012-1021 - Chenbo Zhao, Yoshiki Ogawa, Shenglong Chen, Zhehui Yang, Yoshihide Sekimoto:
Label Freedom: Stable Diffusion for Remote Sensing Image Semantic Segmentation Data Generation. 1022-1030 - Yong Zhuang, David L. Small, Patrick D. Flynn, Wahid Palash, Shafiqul Islam, Ping Chen, Wei Ding:
CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead Streamflow Forecasting. 1031-1038 - Mohammad Abu-Shaira, Alejandro Rodriguez, Greg Speegle, Victor S. Sheng, Ishfaq Ahmad:
OLR-WA: Online Weighted Average Linear Regression in Multivariate Data Streams. 1039-1046 - Leman Akoglu, Jaemin Yoo:
Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities. 1047-1051 - Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier:
M2-Mixer: A Multimodal Mixer with Multi-head Loss for Classification from Multimodal Data. 1052-1058 - Vivien Cabannes:
Learning with Variational Objectives on Measures. 1059-1063 - Xiongren Chen, Jiuyong Li, Jixue Liu, Stefan Peters, Lin Liu, Thuc Duy Le, Anthony Walsh:
Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation. 1064-1069 - Jo-Chun Chen, Hung-Hsuan Chen:
Toward Efficient and Incremental Spectral Clustering via Parametric Spectral Clustering. 1070-1075 - Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Hypergraph Neural Networks for Time-series Forecasting. 1076-1080 - Sin Cheng Ciou, Pin-Jui Chen, Elvin Y. Tseng, Yuh-Jye Lee:
Federated Learning for Sparse Principal Component Analysis. 1081-1086 - Zhongfen Deng, Hao Peng, Tao Zhang, Shuaiqi Liu, Wenting Zhao, Yibo Wang, Philip S. Yu:
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction. 1087-1094 - Yang Gao, Ying Li, Yang Li, Zunlei Feng, Mingli Song, Xingyu Wang, Chun Chen:
Drift-aware Anomaly Detection for Non-stationary Time Series. 1095-1100 - Stephanie Ger, Yegna Subramanian Jambunath, Diego Klabjan:
Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification. 1101-1108 - Stephanie Ger, Yegna Subramanian Jambunath, Diego Klabjan, Jean Utke:
Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types. 1109-1116 - Xiao Han, Shuhan Yuan, Mohamed Trabelsi:
LogGPT: Log Anomaly Detection via GPT. 1117-1122 - Qisheng He, Ming Dong:
Transferring Lottery Tickets in Computer Vision Models: a Dynamic Pruning Approach. 1123-1128 - Qisheng He, Weisong Shi, Ming Dong:
Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach. 1129-1134 - Nguyen Ho, Trinh Cong Le, Van Long Ho, Nguyen Tuong Huynh, Linh Ngo:
Causal Associations between Temporal Events. 1135-1142 - Ian Howell, Eleanor Quint, Hongfeng Yu:
Quantitatively Evaluating the Validity of Contrastive Generators for Recourse. 1143-1150 - Kai Huang, Dengzhe Liang, He Wang, Yuncheng Jiang:
Contrastive Multi-view Learning for Graph Stucture Learning. 1151-1156 - Zhe Jiang:
Deep Learning for Spatiotemporal Big Data: Opportunities and Challenges [Vision Paper]. 1157-1161 - Wenjuan Jiang, Yi Guo, Jiaojiao Fu:
Temporal Knowledge Graph Question Answering Models Enhanced with GAT. 1162-1167 - Aaditi Kapre, Shruti Kunde, Sparsh Mittal, Rekha Singhal:
RAxC: Reflexivity-based Approximate Computing techniques for efficient remote sensing. 1168-1173 - Ashish Kumar, Durga Toshniwal:
Label Hierarchy Alignment for Improved Hierarchical Text Classification. 1174-1179 - Mao-Lin Li, K. Selçuk Candan, Maria Luisa Sapino:
CTT: Causally Informed Tensor Train Decomposition. 1180-1187 - Sungsoo Lim, Diego Klabjan, Mark Shapiro:
Feature Acquisition Using Monte Carlo Tree Search. 1188-1193 - Jiahao Liu, Jiale Xu, Haijia Bao, Ya Li:
VHGN: Cooperative Multiagent Reinforcement Learning with Historical Information Graph. 1194-1199 - Haoyang Ma, Hongyu Guo:
A Hybrid Model Based on Multi-level External Knowledge for Chinese Semantic Matching. 1200-1205 - Huy Mai, Wen Huang, Wei Du, Xintao Wu:
A Robust Classifier under Missing-Not-at-Random Sample Selection Bias. 1206-1213 - Md Abu Marjan, Toshiyuki Amagasa:
CSER: Enhancing Cybersecurity Entity Recognition Through Multidimensional Feature Fusion. 1214-1221 - Abdul Matin, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara:
DISCERN: Leveraging Knowledge Distillation to Generate High Resolution Soil Moisture Estimation from Coarse Satellite Data. 1222-1229 - Usman Shuaibu Musa, Yifan Guo, Cheng Qian, Wei Yu:
Optimal sampling for Moving Object Trajectory Tracking in Smart Transportation Systems: A Transformer-based Approach. 1230-1235 - Han Wang, Nirmalendu Prakash, Nguyen-Khoi Hoang, Ming Shan Hee, Usman Naseem, Roy Ka-Wei Lee:
Prompting Large Language Models for Topic Modeling. 1236-1241 - Chin-Chia Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng, Vivian Lai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh:
Ego-Network Transformer for Subsequence Classification in Time Series Data. 1242-1247 - Aziza Zhanabatyrova, Clayton Frederick Souza Leite, Yu Xiao:
Detecting and Classifying Changes in Traffic Rules using Induction Loop Data. 1248-1255 - Shaowu Zhang, Xijun Cui, Tongyue Zhang, Hongfei Lin, Liang Yang:
Humor Level Recognition Based on Prompt Learning and Contrastive Learning. 1256-1261 - Canyang Zhang, Qi Zheng, Yaying Zhang:
Spatial-Temporal Flow Holistic Interaction Graph Convolution Network for Bidirectional Traffic Flow Forecasting. 1262-1268 - Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, Mostafa Parchami:
FOCAL: A Cost-Aware Video Dataset for Active Learning. 1269-1278 - M. S. Vinay, Shuhan Yuan, Xintao Wu:
Robust Fraud Detection via Supervised Contrastive Learning. 1279-1288 - Aida Sharif Rohani, Ricardo Baeza-Yates:
Measuring Bias. 1289-1298 - Xun Yao, Ruyi He, Xinrong Hu, Jie Yang, Yi Guo, Zijian Huang:
Improving Adversarially Robust Sequential Recommendation through Generalizable Perturbations. 1299-1307 - Mohamed Behery, Felix Glawe, István Koren, Martina Ziefle, Gerhard Lakemeyer, Philipp Brauner:
Vision Paper: Leveraging Industrial Big Data - Past, Present, and Future of the World Wide Lab. 1308-1313 - Cory J. Cascalheira, Santosh Chapagain, Ryan E. Flinn, Yuxuan Zhao, Soukaina Filali Boubrahimi, Dannie Klooster, Alejandra Gonzalez, Emily M. Lund, Danica Laprade, Jillian R. Scheer, Shah Muhammad Hamdi:
Predicting Linguistically Sophisticated Social Determinants of Health Disparities with Neural Networks: The Case of LGBTQ+ Minority Stress. 1314-1321 - Natsuki Hamada, Kazuhiro Saito, Hideyuki Kawashima:
Qobra: Fast Verification of Transactional Serializability with Quantum Annealing. 1322-1329 - Shmuel Horowitz, Dima Kagan, Galit Fuhrmann Alpert, Michael Fire:
Zooming into Abnormal Events in Video Conferencing. 1330-1335 - Carson K. Leung, Evan W. R. Madill, Qi Wen:
A Privacy-Preserving Semi-Decentralized Personalized Recommendation System. 1336-1343 - Md Mainuddin, Zhenhai Duan, Yingfei Dong:
Detecting Compromised IoT Devices Using Autoencoders with Sequential Hypothesis Testing. 1344-1351 - Kanishka Ranaweera, David B. Smith, Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Thierry Rakotoarivelo, Aruna Seneviratne:
Improving the Utility of Differentially Private SGD by Employing Wavelet Transforms. 1352-1359 - Nikolas Tyllis, Faheem Ullah, Muhammad Uzair:
An Exploratory Study of Vulnerabilities in Big Data Systems. 1360-1367 - Ismael Villanueva-Miranda, Monika Akbar:
Analyzing Threat Vectors in ICS Cyberattacks. 1368-1373 - Minh N. Vu, Tre' R. Jeter, Raed Alharbi, My T. Thai:
Active Data Reconstruction Attacks in Vertical Federated Learning. 1374-1379 - Tianhan Zhang, Juan Yu, Jianmin Han, Hao Peng, Sheng Qiu:
PGAN-KD:Member Privacy Protection of GANs Based on Knowledge Distillation. 1380-1385 - Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci:
Causal Fairness-Guided Dataset Reweighting using Neural Networks. 1386-1394 - Shih-Fen Cheng, Prabod Rathnayaka:
M²-CNN: A Macro-Micro Model for Taxi Demand Prediction. 1395-1402 - Kevin Chovanec, John Fields, Praveen Madiraju:
Combining Demographic Tabular Data with BERT Outputs for Multilabel Text Classification in Higher Education Survey Data. 1403-1409 - Xin Huang, Chenxi Wang, Wenbin Zhang, Sanjay Purushotham, Jianwu Wang:
DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data. 1410-1418 - Yusuke Imadegawa, Takuya Oki, Yoshiki Ogawa, Chenbo Zhao:
Predicting Impression Evaluation of Building Exterior Appearance Using Street Image Big Data and Deep Learning. 1419-1428 - Taslim Murad, Sarwan Ali, Prakash Chourasia, Haris Mansoor, Murray Patterson:
Circular Arc Length-Based Kernel Matrix For Protein Sequence Classification. 1429-1437 - Panagiotis Papadopoulos, Dimitris Spythouris, Evangelos P. Markatos, Nicolas Kourtellis:
FNDaaS: Content-agnostic Detection of Websites Distributing Fake News. 1438-1449 - Mingwei Sun, Kunpeng Zhang:
Multimodal Co-attention Transformer for Video-Based Personality Understanding. 1450-1459 - Yi Zu, Jiacong Mi, Lingning Song, Shan Lu, Jieyue He:
Finformer: A Static-dynamic Spatiotemporal Framework for Stock Trend Prediction. 1460-1469 - Juliana Marie Agulto, Yeohan Lorenzo Noroña, Gian Carlo Gutierrez, Eric Benabaye, Geanne Franco, Ann Franchesca Laguna, Jocelynn Cu, Joel Ilao, Macario O. Cordel II:
Development of a Computer Vision-Based Road Physical Feature Extraction. 1470-1475 - Neel Bhate, Ansh Mittal, Zhe He, Xiao Luo:
Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model. 1476-1480 - D. M. D. K. Dasanayake, H. Y. Dilshan, H. D. K. Y. Rathnaweera, Sapumal Ahangama, Indika Perera:
A Novel Approach for Deep Learning-Powered Forecasting of Market Bottoms in Cryptocurrency and Stock Trading. 1481-1486 - Christos Doulkeridis, Georgios M. Santipantakis, Nikolaos Koutroumanis, George Makridis, Vasilis Koukos, George S. Theodoropoulos, Yannis Theodoridis, Dimosthenis Kyriazis, Pavlos Kranas, Diego Burgos, Ricardo Jiménez-Peris, Mariana M. G. Duarte, Mahmoud Attia Sakr, Esteban Zimányi, Anita Graser, Clemens Heistracher, Kristian Torp, Ioannis Chrysakis, Theofanis Orphanoudakis, Evgenia Kapassa, Marios Touloupou, Jürgen Neises, Petros Petrou, Sophia Karagiorgou, Rosario Catelli, Domenico Messina, Marcelo Corrales Compagnucci, Matteo Falsetta:
MobiSpaces: An Architecture for Energy-Efficient Data Spaces for Mobility Data. 1487-1494 - Guocheng Feng, Kaihao Chen, Huaiyu Cai, Zhijian Li:
A Hybrid Method of Sentiment Analysis and Machine Learning Algorithm for the U.S. Presidential Election Forecasting. 1495-1500 - Marc Frîncu, Marius E. Penteliuc, Simina Frîncu, Gheorghe Bran, Manuela Zanescu:
Comparing ML OCR Engines on Texts from 19th Century Written in the Romanian Transitional Script. 1501-1506 - Shreya Iyer, Jacob Brain, Reza Omidvar, Mario Siervo, Nadeem Qureshi, Ralph K. Akyea, Stephen Kaptoge, Grazziela P. Figueredo, Blossom Stephan:
Exploring Dementia Risk in Cardiovascular Patients Through AI-Enabled Big Data Analysis. 1507-1512 - Nicholas Tan Jerome, Suren Chilingaryan, Thomas van de Kamp, Andreas Kopmann:
Low-latency Visual Previews of Large Synchrotron Micro-CT Datasets. 1513-1518 - Anli Ji, Berkay Aydin:
Interpretable Solar Flare Prediction with Sliding Window Multivariate Time Series Forests. 1519-1524 - Minghui Tan, Kar Way Tan, Hoong Chuin Lau:
A Big Data Approach to Augmenting the Huff Model with Road Network and Mobility Data for Store Footfall Prediction. 1533-1538 - Alex Tang, Gromit Chan, Ryan A. Rossi, Chang Xiao, Eunyee Koh:
Tabular Data to Image Generation: Benchmark Data, Approaches, and Evaluation. 1539-1543 - Jingjia Wan, Yu Wu:
SASTDGCN: Self-Attention Based Spatial-Temporal Double Graph Convolutional Networks for Traffic Flow Forecasting. 1544-1549 - Conghua Wei, Qianjun Zhang, Xiaobo Zhang, Yan Yang, Jixin Zhang, Donghai Zhai:
YOLOv5s-BSS: A Novel Deep Neural Network for Crack Detection of Road Damage. 1550-1554 - Matthew Young, Sangmi Lee Pallickara, Shrideep Pallickara:
AQUA: A Framework for Spatiotemporal Analysis and Visualizations of Water Quality Data at Scale. 1555-1562 - Ke Zhang, Hengchang Liu, Siobhán Clarke:
ATADA: Adaptive Time Aware Anomaly Detection Approach for Real-Time Intelligent Transportation Systems. 1563-1570 - Eliran Abutbul, Yohay Kaplan, Naama Krasne, Oren Somekh, Or David, Omer Duvdevany, Evgeny Segal:
Audience Prospecting for Dynamic-Product-Ads in Native Advertising. 1571-1580 - Dolev Adas, Ohad Eytan, Guy Khazma, Josep Sampé, Paula Ta-Shma:
Refactoring ETL Flows in The Wild. 1581-1590 - Yongsu Ahn, Muheng Yan, Yu-Ru Lin, Zian Wang:
HungerGist: An Interpretable Predictive Model for Food Insecurity. 1591-1600 - Nadin-Katrin Apel, Constantinos Antoniou:
VEMUT-Sub-Sampling: A Novel Method for Sparse Multivariate Time-Series Vehicle Data. 1601-1609 - Amadou Ba, Fearghal O'Donncha, Joern Ploennigs, Muneeza Azmat:
Efficient Extraction of Insights at the Edges of Distributed Systems. 1610-1619 - Robert A. Bridges, Brian Weber, Justin M. Beaver, Jared M. Smith, Miki E. Verma, Savannah Norem, Kevin D. Spakes, Cory L. Watson, Jeffrey A. Nichols, Brian Jewell, Michael D. Iannacone, Chelsey Dunivan Stahl, Kelly M. T. Huffer, T. Sean Oesch:
AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors. 1620-1629 - Luca Cagliero, Silvia Buccafusco, Francesco Vaccarino, Lucia Salvatori, Riccardo Loti:
Detecting industrial vehicles' duty levels using contrastive learning. 1630-1636 - Pranjal Chakraborty, Naser Ezzati-Jivan, Sayed Vahid Azhari, François Tetreault:
AltOOM: A Data-driven Out of Memory Root Cause Identification Strategy. 1637-1646 - Winston Chan, Aijun An, Heidar Davoudi:
A Case Study on ChatGPT Question Generation. 1647-1656 - Gautam Choudhary, Iftikhar Ahamath Burhanuddin, Eunyee Koh, Fan Du, Ryan A. Rossi:
PersonaSAGE: A Multi-Persona Graph Neural Network. 1657-1666 - Anqi Chu, Xiang Xie, Chris Manuel Hermann, Wilhelm Stork, Jörg Roth-Stielow:
Towards Predictive Lifetime-Oriented Temperature Control of Power Electronics in E-vehicles via Reinforcement Learning. 1667-1676 - Varun Chugh, William Kretz, Steven Rosa, Brooks Beckelman, Hao Tong, Dejan Mitkovski:
Ready for the Big Game: How FanDuel Boosts Conversions and Revenue at Scale with a Real-Time Recommender System for Daily Fantasy Sports. 1677-1686 - Giuseppe Cianci, Roberto Goglia, Riccardo Guidotti, Matteo Kapllaj, Roberto Mosca, Andrea Pugnana, Franco Ricotti, Salvatore Ruggieri:
Applied Data Science for Leasing Score Prediction. 1687-1696 - Minh-Son Dao, Muhamad Hilmil Muchtar Aditya Pradana, Koji Zettsu:
MM-TrafficRisk: A Video-based Fleet Management Application for Traffic Risk Prediction, Prevention, and Querying. 1697-1706 - Gaurav Gupta, Anup B. Rao, Tung Mai, Ryan A. Rossi, Xiang Chen, Saayan Mitra, Anshumali Shrivastava:
Near Neighbor Search for Constraint Queries. 1707-1715 - Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao:
Visual Insight Recommendation: From Ranking Insight Visualizations to Insight Types. 1716-1725 - Hung-Chang Hsiao, Chia-Ping Tsai, Zheng-Xian Li, Chao-Heng Lee, Jia-Sheng Chen, Yu-Chen Lai, Jia-Chi Wang, Shao-Chi Li, Jhih-Cyuan Gao, Yi-Huan Lee:
Load Balancing Algorithms and Their Impacts on Apache Kafka. 1726-1735 - Shayan Jawed, Jan Stening, Lars Schmidt-Thieme:
Pricing Used Vehicles at Volkswagen Financial Services AG. 1736-1743 - Ramakrishnan Kannan, Cristina Garcia-Cardona, Balasubramaniam Radhakrishnan, Sudip K. Seal:
A Deep Learning Pipeline for Optimizing Large-scale Phase Field Simulations. 1744-1753 - Yu-Hsuan Kuo, Saaransh Gulati, Xiaoyu Chu, Pulkit Garg:
NNCR: Revising Classifications using Embedding Based K-Nearest-Neighbor Search. 1754-1763 - Hosub Lee:
Uncovering and Understanding Smart TV Users' Picture Quality Preferences via Big Data Analytics. 1764-1773 - Christian J. Mahoney, Nathaniel Huber-Fliflet, Peter Gronvall, Chris Clark, Jianping Zhang, Fusheng Wei, Qiang Mao:
Exploring Approaches to Optimize the Performance of Predictive Coding on Multilanguage Data Sets. 1774-1781 - Misaki Mito, Chi Heem Wong, Arnab Chakrabarti:
Sensorless Monitoring of Shipping Containers. 1782-1792 - Norifumi Nishikawa, Shinji Fujiwara, Yuto Hayamizu, Kazuo Goda:
Physical Database Design for Manufacturing Business Analytics. 1793-1802 - Jongjun Park, Fei Chiang, Eduardo Correia Da Silva, Kevin Lytwyn, Stephen Veldhuis:
Will my Flight be on Time? Learning from Part Failures to Predict Future Reliability. 1803-1813 - Ethan Ratliff-Crain, Colin Michael Van Oort, James P. Bagrow, Matthew T. K. Koehler, Brian F. Tivnan:
Revisiting Stylized Facts for Modern Stock Markets. 1814-1823 - Ankita Sharma, Xuanmao Li, Hong Guan, Guoxin Sun, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou:
Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data. 1824-1834 - Alex Shtoff, Yohay Kaplan, Ariel Raviv:
Improving conversion rate prediction via self-supervised pre-training in online advertising. 1835-1842 - Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu:
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients. 1843-1852 - Michael Scriney, Mohan Timilsina, Edward Curry, Lukasz Porwol, Dongyun Nie, Darren Dahley, Jaime B. Fernandez, Mathieu d'Aquin, Mark Roantree:
Engineering Data Assets for Public Health Applications: A Covid-19 Case Study. 1853-1862 - Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu:
Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices. 1863-1872 - Renzhi Wu, Saayan Mitra, Xiang Chen, Anup B. Rao:
Decentralized Personalized Online Federated Learning. 1873-1882 - Moritz von Zahn, Oliver Hinz, Stefan Feuerriegel:
Locating disparities in machine learning. 1883-1894 - Ehab Abdelhamid, Amirhossein Aleyasen, Michael Duller, Eric Foratier, Vincent Fruleux, Mirella Katch, Gourab Mitra, Rima Mutreja, Jozsef Patvarczki, Matthew Pope, Nikos Tsikoudis, F. Michael Waas:
How Global Retailer ADEO Migrated to Google BigQuery with Database Virtualization. 1895-1898 - Jaeho Bang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Handong Zhao:
Interpretable Unsupervised Log Anomaly Detection. 1899-1902 - Minh-Son Dao, Huy Quang Ung, Sadanori Ito, Shinya Wada, Koji Zettsu:
Fostering Innovation in Urban Transportation Risk Management: A Multi-Sector Collaborative Benchmarking Platform. 1903-1907 - Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh:
Time Series Synthesis Using the Matrix Profile for Anonymization. 1908-1911 - Bradley Eck, Duygu Kabakci-Zorlu, Amadou Ba:
Two-sample KS test with approxQuantile in Apache Spark®. 1912-1917 - Sai Charan Emmadi, Parag Agrawal, Satya Samudrala, Vikrant Shimpi, Maitreya Natu:
Theory meets practice approach for Event Correlations. 1918-1921 - Ayumu Hidaka, Ryota Shin, Atsushi Tsuchiya, Norihiko Nakabayashi, Yukihiko Okada, Yohei Shida:
Data-Driven Approaches to Detecting Misdeliveries in Truck Logistics using GPS Data. 1922-1927 - Nathaniel Huber-Fliflet, Jianping Zhang, Peter Gronvall, Fusheng Wei, Philip Spinelli, Adam Dabrowski, Jingchao Yang:
Explainable Text Classification for Legal Document Review in Construction Delay Disputes. 1928-1933 - Ye Lim Jung, Hyoung Sun Yoo, Ji Hui Kim:
Market Size Estimation Model at the Product Level based on Text Mining Approach. 1934-1939 - Hamed Khorasgani, Namrata Ghadi, Saumil Shah, Henry Zhang:
Uncertainty Estimation for a Dual-Embedding based Entity Extraction Service. 1940-1944 - Kyuyoung Lee, Jiseon Lee, Seungyoun Lee, Hoonyong Shim, Jungmin Kim:
Individualized Reservation fare optimization for Designated Driver Service. 1945-1951 - Alvina Lee Hui Shan, Venky Shankararaman, Eng Lieh Ouh:
Extending the Horizon by Empowering Government Customer Service Officers with ACQAR for Enhanced Citizen Service Delivery. 1952-1958 - Jie Liu, Zhipeng Jin, Yi Yang, Wei Jia, Xuewu Jiao, Shuanglong Li, Lin Liu:
Large Scale Multiplex Latent Graphs for Recommendation in Baidu. 1959-1964 - AKM Shahariar Azad Rabby, Hasmot Ali, Md. Majedul Islam, Fuad Rahman:
Versatile Bengali OCR: Document Analysis Technique for Varied Document Styles and Content. 1965-1969 - Wanning Sun, Xuhua Ma, Ruimin Peng, Yifan Xu, Dongrui Wu:
DARC: High-dimensional Diffusing Anomaly Detection and Root Cause Location in Cloud Computing Systems. 1970-1977 - Muhammad Arslan Tariq, Ovidiu-Cristian Marcu, Grégoire Danoy, Pascal Bouvry:
Towards Unified Data Ingestion and Transfer for the Computing Continuum. 1978-1981 - Kota Tsubouchi, Shuji Yamaguchi, Tatsuru Higurashi:
Boosting Feedback: A Framework for Enhancing Ground Truth Data Collection. 1982-1989 - Huijun Wu, Maosong Fu, Mansi Kapoor, Zheng Li, Donggeon Kim, Jihyeon Ha, Sungwook Ethan Byun, Prashanth Rajendran, San Tan:
Cost-Efficient Cross-Region Copy in Cloud Data Warehouse: An Evolutionary Approach. 1990-1993 - Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang:
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights. 1994-1997 - Wei Zhang, David Arbour:
Online Forecasting Based Anomaly Detection For Monitoring Large Scale Streaming Data. 1998-2003 - David E. Breen, Andrew Senin, Ajani Levere, Joel Pepper, Jane Greenberg:
Specimen Outlining: A Computational Archival Science Approach. 2004-2009 - Sarah A. Buchanan, Jennifer L. Wachtel, Jennifer A. Stevenson:
Accelerating Precision Research and Resolution Through Computational Archival Science Pedagogy. 2010-2019 - Jessica Bushey:
AI-Generated Images as an Emergent Record Format. 2020-2031 - Madelynn Dickerson, Audra Eagle Yun:
Critical Community-Centeredness: Ethical Considerations for Computational Archival Studies. 2032-2035 - Hoda Amal Hamouda:
Authenticating Citizen Journalism Videos by Incorporating the View of Archival Diplomatics into the Verification Processes of Open-source Investigations (OSINT). 2036-2046 - Shadrack Katuu:
The Utility of Standards and Good Practice Guidelines for Records Professionals: comparing apples, oranges, and other fruits. 2047-2060 - Maurizio Montagnuolo, Fulvio Negro, Alberto Messina, Angelo Bruccoleri, Roberto Iacoviello:
Who's in My Archive? An End-to-End Framework for Automatic Annotation of TV Personalities. 2061-2070 - Nathaniel Payne:
An Intelligent Class - The Sequel: The Development Of A Novel Context Capturing Method For The Functional Auto Classification Of Records. 2071-2082 - Dian Ross, Edmond Cretu, Victoria Lemieux:
Analogous Analogues: Digital Twins and Hardware Tracking in GLAM Collections. 2083-2094 - Özhan Saglik, Victoria Lemieux:
Will Blockchain Technology Change How Well National Archives Preserve the Trustworthiness of Digital Records?: Preliminary Results of a Survey. 2095-2104 - William Underwood, Joan Gage:
Can GPT-4 Think Computationally about Digital Archival Practices? 2105-2115 - Jianliang Yang, Xiya Zhang, Kai Liang, Yuenan Liu:
Exploring the Application of Large Language Models in Detecting and Protecting Personally Identifiable Information in Archival Data: A Comprehensive Study. 2116-2123 - Da Li, Hiroto Nishikawa, Mayumi Ueda, Shinsuke Nakajima:
A Store Evaluation System using Automatic Scoring of Retail Stores Based on Product Review Analysis. 2124-2130 - Takanobu Omura, Da Li, Panote Siriaraya, Katsumi Tanaka, Yukiko Kawai, Shinsuke Nakajima:
User Latent Interest Estimation in Real Space: A Comparative Analysis of Time-Series and Non-Time-Series Processing Algorithms. 2131-2138 - Alana Cedeno, Rachel Liang, Sheikh Rabiul Islam:
Predicting Potential School Shooters from Social Media Posts. 2139-2145 - Roberto Corizzo, Nora Lewis, Lucas P. Damasceno, Allison Shafer, Charles C. Cavalcante, Zois Boukouvalas:
Multimodal One-class Learning for Malicious Online Content Detection. 2146-2151 - Flavio Giobergia, Elena Baralis:
Late Fusion-based Distributed Multimodal Learning. 2152-2156 - Nikita Gordienko, Yuri G. Gordienko, Oleksandr Rokovyi, Oleg Alienin, Andrii Polukhin, Sergii G. Stirenko:
Impact of Mixed Multimodalities and Size Dependence on Performance of Object Detection on Multimodal Satellite Imagery*. 2157-2162 - Shun-Wen Hsiao, Cheng-Yuan Sun:
LoRA-like Calibration for Multimodal Deception Detection using ATSFace Data. 2163-2172 - Jia-Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi:
Exploiting Multiple Sequence Lengths in Fast End to End Training for Image Captioning. 2173-2182 - Juheon Hwang, Jiwoo Kang:
Audio-visual Neural Face Generation with Emotional Stimuli. 2183-2187 - Niloofar Kalantari, Amirreza Payandeh, Marcos Zampieri, Vivian Genaro Motti:
Understanding the Language of ADHD and Autism Communities on Social Media. 2188-2195 - Sofia Karamintziou, Thanassis Mavropoulos, Dimos Ntioudis, Georgios Meditskos, Stefanos Vrochidis, Ioannis Kompatsiaris:
Neural Crystals. 2196-2199 - Hongwu Liu, Shouhong Wan, Peiquan Jin, Xin Wang:
Semantic Prompt Based Multi-Scale Transformer for Few-Shot Classification. 2200-2205 - Joseph May, Samir Poudel, Sammi Hamdan, Khem Poudel, Jorge Vargas:
Using the CARLA Simulator to Train A Deep Q Self-Driving Car to Control a Real-World Counterpart on A College Campus. 2206-2210 - David C. Meshnick, Nahal Shahini, Debargha Ganguly, Yinghui Wu, Roger H. French, Vipin Chaudhary:
Enhancing Scientific Image Classification through Multimodal Learning: Insights from Chest X-Ray and Atomic Force Microscopy Datasets. 2211-2220 - Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Saptarshi Sengupta:
De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics. 2221-2228 - Cheng-En Sung, Nada Attar:
Gender Classification Accuracy via Two-Dimensional Body Joints using Convolutional Neural Networks. 2229-2233 - Anudeep Vurity, Emanuela Marasco:
New Finger Photo Databases with Presentation Attacks and Demographics. 2234-2242 - Zhibo Wang, Yi Guo, Jiaojiao Fu:
CLIP-PubOp: A CLIP-based Multimodal Representation Fusion Method for Public Opinion. 2243-2246 - Jiayang Wu, Wensheng Gan, Zefeng Chen, Shicheng Wan, Philip S. Yu:
Multimodal Large Language Models: A Survey. 2247-2256 - Kairui Zhang, Martha Lewis:
Evaluating CLIP's Understanding on Relationships in a Blocks World. 2257-2264 - Kinan Al-Attar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
MPI4Spark Meets YARN: Enhancing MPI4Spark through YARN support for HPC. 2265-2274 - Neha Gaonkar, Parnia Samimi, Jagdev Bhogal, Luke Porter, Rob Squire:
Optimized Model of Ledger Database Management to handle Vehicle Registration. 2275-2282 - Dongkun Hou, Jie Zhang:
BFRecSys: A Blockchain-based Federated Matrix Factorization for Recommendation Systems. 2283-2292 - Ravi Kaler, Durga Toshniwal:
Deep Reinforcement Learning based Data Placement optimization in Data Center Networks. 2293-2302 - Daun Kim, Hyunjoo Yang, Howon Lee, Sejin Park:
Blockchain-Based Verifiable and Reliable File Access Control Layer for Cloud Storages. 2303-2310 - Ansgar Lößer, Florian Raskob, Björn Scheuermann:
Lazy Read: Asynchronous Execution of Synchronous File I/O. 2311-2318 - Chuang Luo, Hanxu Hou, Peng Zhang, Hui Li:
Optimal Repair Algorithm of Single-Disk Failure for Array Codes with Local Properties. 2319-2325 - Qi Lyu, Hui Li, Xinnan Lin, Han Wang, Hanxu Hou, Yuguo Yin, Qianbin Chen, Ping Fan, Gang Wan, Xiang Zhu, Selwyn Deng, Weixiang Huang, Jianping Wu, Jieren Cheng, Wenyuan Yang:
H-MIS: A Hierarchical Multi-Identifier System Based on Blockchain. 2326-2333 - Joshua Priest, Cameron Cooper, Savvy Lovell, Yong Shi, Dan Lo:
Design and Implementation of an ERC-20 Smart Contract on the Ethereum Blockchain. 2334-2338 - Dominik Scheinert, Sören Becker, Jonathan Will, Luis Englaender, Lauritz Thamsen:
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications. 2339-2345 - Parth Anand Shukla, Saeed Samet:
RNBFT: Leveraging Randomness to Achieve Scalable Byzantine Consensus. 2346-2355 - Wenlong Song, Hong Chen, Zhijie Qiu, Lei Luo:
A Federated Learning Scheme Based on Lightweight Differential Privacy. 2356-2361 - Shicheng Tan, Hanxu Hou, Leilei Yu:
Reed-Solomon Codes Over Ring with Lower Computational Complexity. 2362-2368 - Xiaozhou You, Hui Li, Han Wang, Faisal Mehmood:
SmartDT: An Effective Vulnerability Detection System of Smart Contracts Based on Deep Learning. 2369-2376 - Antoine Bordas, Pascal Le Masson, Benoit Weil:
Data-Push Projects and their Unique Feature: Managing with Anomalies. 2377-2385 - Asma Dhaouadi, William Paccoud, Khadija Bousselmi, Sébastien Monnet, Mohamed Mohsen Gammoudi, Slimane Hammoudi:
Big Data Tools: Interoperability Study and Performance Testing. 2386-2395 - Christian Haertel, Daniel Staegemann, Christian Daase, Matthias Pohl, Abdulrahman Nahhas, Klaus Turowski:
MLOps in Data Science Projects: A Review. 2396-2404 - Kerk F. Kee, Alex Olshansky, Shan Xu, Kulsawasd Jitkajornwanich:
A Capacity Framework of Community Readiness for Supporting Big Data Science Projects during Cyberinfrastructure Diffusion. 2405-2410 - Asma Kermiche, Chaima Rouzzi, Ladjel Bellatreche:
ExplainerX: An Integrated and Explainable AI Framework for Nearly Zero-Energy Buildings. 2411-2420 - Akit Kumar, M. S. Lakshmi Devi, Jeffrey S. Saltz:
Bridging the Gap in AI-Driven Workflows: The Case for Domain-Specific Generative Bots. 2421-2430 - Sucheta Lahiri, Jeffrey S. Saltz:
Data Science Failure: A Literature Review. 2431-2440 - Ke Huang, Yin Luo, LiFei Ke, Jianwen Qin, Pingping Liu:
Crude oil price forecasting base on an EEMD and multi-scale time series analysis combination methods. 2441-2449 - Cristina Tavares, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Extending Variability-Aware Model Selection with Bias Detection in Machine Learning Projects. 2441-2449 - Robin Varghese, Carlos Ordonez:
Understanding Data Pre-processing with a Hybrid Diagram Integrating ER and Data Flow Notation. 2450-2455 - Emrullah Gultekin, Mehmet S. Aktas:
Predictive Analytics in IoT and CPS: Enhancing Industrial Machinery Reliability through Sensor Data-Driven Remaining Useful Life Estimation. 2456-2465 - Zulfiqar Ali Khan, Akbar Siami Namin:
Dynamic Analysis for the Detection of Locked Ether Smart Contracts. 2466-2472 - Hong Lin, Zirun Gan, Wensheng Gan, Zhenlian Qi, Yuehua Wang, Philip S. Yu:
Interaction in Metaverse: A Survey. 2473-2482 - Denish Omondi Otieno, Faranak Abri, Akbar Siami Namin, Keith S. Jones:
Detecting Phishing URLs using the BERT Transformer Model. 2483-2492 - Katarzyna Prokop, Dawid Polap, Gautam Srivastava:
AGV Quality of Service Throughput Prediction via Neural Networks. 2493-2498 - Bharkavi Sachithanandam, Akbar Siami Namin, Faranak Abri:
The Performance of Machine and Deep Learning Algorithms in Detecting Fake Reviews. 2499-2507 - Sonali Singh, Faranak Abri, Akbar Siami Namin:
Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles. 2508-2517 - Zichong An, Xuemei Zhu, Xiangling Fu, Junqi Ma, Chenyi Guo, Zheng Zhang:
An iterative sinogram metal artifact reducdion based on UNet. 2518-2522 - Rebecca Kador, Helen Schneider, David Biesner, Babette Dellen, Rafet Sifa:
Learning the Dynamics of Concentration Fields in Vascular Stenosis with Deep Hidden Physics Models. 2523-2528 - Jinwen Li, Wendong Wang:
Deployment and Application of Deep Learning Models under Computational Constraints. 2529-2533 - Chengyu Liu, Bo Zhang, Wendong Wang:
A Pose and Shape-Aware Cross-Skeleton Motion Retargeting Framework. 2534-2540 - Jamal Saied-Walker, Pallavi Gupta, Ruhan Yi, Noah Marchal, Marjorie Skubic, Grant J. Scott:
GPU-accelerated PostgreSQL for Scalable Management and Processing of Irregular Time-Series Data using SPI. 2541-2549 - Weilong Wu, Miao Li, Ji Wu, Ming Ni, Huishu Yuan:
Learning to Generate Radiology Findings from Impressions Based on Large Language Model. 2550-2554 - Shuo Yan, Zheng Zhang, Bo Zhang, Wendong Wang:
A 3D Framework for Brain Tumor Segmentation from Multi-modal MR Images. 2555-2560 - Chaabane Abdelali, Yachba Khadidja, Ladjel Bellatreche:
Optimization of Dangerous Goods Stowage: A Hybrid Approach between Faster R-CNN and Coronavirus Metaheuristic. 2561-2569 - Mariaelena Berlotti, Sarah Di Grande, Salvatore Cavalieri, Vincenza Torrisi, Giuseppe Inturri:
Proposal of an AI based approach for Urban Traffic Prediction from Mobility Data. 2570-2577 - Michele Carbonera, Michele Ciavotta, Enza Messina:
Driving into Uncertainty: An Adversarial Generative Approach for Multivariate Scenario Generation. 2578-2587 - Lubna Eljabu, Mohammad Etemad, Stan Matwin:
Charting the Course of Ship Track Prediction: A Novel Approach for Maritime Traffic Analysis and Enhanced Situational Awareness. 2588-2597 - Yasir Hassan, Mina Sartipi:
ChattSpeed: Toward a New Dataset for Single Camera Visual Speed Estimation for Urban Testbeds. 2598-2605 - Ling Jin, Xiaodan Xu, Yuhan Wang, Kaveh Farokhi Sadabadi, Alina Lazar, Duleep Rathgamage Don, Zachary Needell, C. Anna Spurlock, Mahyar Amirgholy, Mona Asudegi:
Leveraging Probe Data and Machine Learning to Derive and Interpret Macroscopic Fundamental Diagrams Across U.S. Cities. 2606-2615 - Luciano Netto de Lima, Fabio Augusto de Alcantara Andrade, Youcef Djenouri, Carlos Pfeiffer, Marcos Moura:
Empowering Search and Rescue Operations with Big Data Technology: A Comprehensive Study of YOLOv8 Transfer Learning for Transportation Safety. 2616-2623 - Ritesh Panday, Chung-Horng Lung:
Unstructured Transportation Safety Board Findings Categorization Using the Knowledge Graph Pipeline. 2624-2632 - Ivens Portugal, Paulo S. C. Alencar, Donald D. Cowan:
Identifying Regions of High Demand for Transportation Services based on Cluster Evolution and Graph Analysis. 2633-2638 - Xingxing Wang, Peilin Ye, Yelin Deng, Yinnan Yuan, Yu Zhu, Hongjun Ni:
MixPCD: a novel method of constructing driving cycle for electric bus with sparse data. 2639-2647 - Gabriel Jonas Aguiar, Alberto Cano:
Enhancing Concept Drift Detection in Drifting and Imbalanced Data Streams through Meta-Learning. 2648-2657 - Maroua Bahri, Nikolaos Georgantas:
AutoClass: AutoML for Data Stream Classification. 2658-2666 - Taiki Kato, Shinichi Yamagiwa, Koichi Wada:
Toward Parallelization Technique for Stream-based Lossless Data Compression. 2667-2672 - Stefania Menconi, Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle:
Continuous Soccer Pass Detection: A Comparison between Traditional and Streaming Machine Learning Methods. 2673-2682 - Hinano Sako, Yoshitaka Yamamoto:
Online Closed Episode Mining with Root-Order Decomposition. 2683-2689 - Elena Tsiporkova, Michiel De Vis, Sarah Klein, Anna Hristoskova, Veselka Boeva:
Mitigating Concept Drift in Distributed Contexts with Dynamic Repository of Federated Models. 2690-2699 - Fabian Berns, Georg Zimmermann, Christian Borgelt, Niclas Heilig, Jan Kirchhoff, Florian Stumpe:
Trustworthy Medical Operational AI: Marrying AI and Regulatory Requirements. 2700-2704 - Mehrdad Fazli, Heman Shakeri:
Leveraging Deep Learning to Improve COVID-19 Forecasting Using Wastewater Viral Load. 2705-2713 - Jasleen Kaur, Vivek Chauhan, Arlene Oetomo, Kang Wang, Plinio P. Morita:
Leveraging Big Data from Smart Thermostats: A Vision to Evaluate Heatwave Impacts on Sleep Health in the Elderly [Vision Paper]. 2714-2718 - Javier Sanchis, Miguel A. Teruel, Juan Trujillo:
Hyperparameter Tuning of a Deep Learning EEG-based Neural Network for the Diagnosis of ADHD. 2719-2725 - Yuki Sugawara, Eiichi Sakurai, Yoichi Motomura, Yukihiko Okada, Kai Tanabe, Akiko Tsukao, Shinya Kuno:
Method for creating privacy-preserving information using Probabilistic Latent Semantic Analysis. 2726-2734 - Hangyu Tu, Lifeng Han, Goran Nenadic:
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models. 2735-2744 - Dilan Bakir, Beytullah Yildiz, Mehmet S. Aktas:
Developing and Evaluating a Model-Based Metric for Legal Question Answering Systems. 2745-2754 - Chris Clark, Han Qin, Nathaniel Huber-Fliflet, Adam Dabrowski, Jianping Zhang:
Exploring the Performance Impacts of Training Predictive Models with Inclusive Email Threads. 2755-2760 - Charles Courchaine, Tasnova Tabassum, Corey Wade, Ricky J. Sethi:
Explainable e-Discovery (XeD) Using an Interpretable Fuzzy ARTMAP Neural Network for Technology-Assisted Review. 2761-2766 - Angelo Impedovo, Giuseppe Rizzo, Antonio Di Mauro:
Towards Open-Set Contract Clause Recognition. 2767-2776 - Fusheng Wei, Robert Keeling, Nathaniel Huber-Fliflet, Jianping Zhang, Adam Dabrowski, Jingchao Yang, Qiang Mao, Han Qin:
Empirical Study of LLM Fine-Tuning for Text Classification in Legal Document Review. 2786-2792 - Jingchao Yang, Fusheng Wei, Nathaniel Huber-Fliflet, Adam Dabrowski, Qiang Mao, Han Qin:
An Empirical Analysis of Text Segmentation for BERT Classification in Extended Documents. 2793-2797 - Alberto Algarra, David Muelas:
BBVA AI Factory at FinCausal 2023: a RoBERTa Fine-tuned Model for Causal Detection. 2798-2801 - Dilshod Azizov, Jiyong Li, Hilal AlQuabeh, Shangsong Liang:
Advanced NLP Techniques for Summarizing Multilingual Financial Narratives from Global Annual Reports. 2802-2804 - Konstantinos Bougiatiotis, Elias Zavitsanos, Georgios Paliouras:
Identifying going concern issues in auditor opinions: link to bankruptcy events. 2805-2813 - Tobias Deußer, David Leonhard, Lars Hillebrand, Armin Berger, Mohamed Khaled, Sarah Heiden, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models. 2814-2822 - Jannik Fischbach, Max Adam, Victor Dzhagatspanyan, Daniel Méndez, Julian Frattini, Oleksandr Kosenkov, Parisa Elahidoost:
Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool. 2823-2830 - Jamshed Kaikaus, Haoen Li, Robert J. Brunner:
Humans vs. ChatGPT: Evaluating Annotation Methods for Financial Corpora. 2831-2838 - Juyeon Kang, Mauli Mehulkumar Patel, Anushka Agrawal, Simhadri Sevitha, Srinivasa Ravi, Sandra Bellato, M. Anand Kumar, Ngawang Dempa Tsang, Mo El-Haj:
Advancements in Financial Document Structure Extraction: Insights from Five Years of FinTOC (2019-2023). 2839-2844 - Ryotaro Kobayashi, Yuri Murayama, Kiyoshi Izumi:
Impact Analysis of Social Events on Industries through Narrative Causal Search. 2845-2854 - Antonio Moreno-Sandoval, Jordi Porta Zamorano, Blanca Carbajo-Coronado, Doaa Samy, Dominique Mariko, Mahmoud El-Haj:
The Financial Document Causality Detection Shared Task (FinCausal 2023). 2855-2860 - Kazuhiro Seki, Masahiko Shibamoto, Takashi Kamihigashi:
Topic-Sentiment Analysis of Central Bank Press Conferences: BOJ Case Study. 2861-2865 - Neelesh K. Shukla, Raghu Katikeri, Msp Raja, Gowtham Sivam, Shlok Yadav, Amit Vaid, Shreenivas Prabhakararao:
Investigating Large Language Models for Financial Causality Detection in Multilingual Setup. 2866-2871 - Neelesh K. Shukla, Raghu Katikeri, Msp Raja, Gowtham Sivam, Shlok Yadav, Amit Vaid, Shreenivas Prabhakararao:
Generative AI Approach to Distributed Summarization of Financial Narratives. 2872-2876 - Natalia Vanetik, Elizaveta Podkaminer, Marina Litvak:
Summarizing Financial Reports with Positional Language Model. 2877-2883 - Tik Yu Yim, Yuxuan Zhang, Wenting Tan, Tak Wah Lam, Siu Ming Yiu:
Meticulously Analyzing ESG Disclosure: A Data-Driven Approach. 2884-2889 - Elias Zavitsanos, Aris Kosmopoulos, George Giannakopoulos, Marina Litvak, Blanca Carbajo-Coronado, Antonio Moreno-Sandoval, Mo El-Haj:
The Financial Narrative Summarisation Shared Task (FNS 2023). 2890-2896 - Kelvin Uzoma Echenim, Karuna Pande Joshi:
IoT-Reg: A Comprehensive Knowledge Graph for Real-Time IoT Data Privacy Compliance. 2897-2906 - Valeria Fionda, Giuseppe Pirrò:
Characterizing Evolutionary Trends in Temporal Knowledge Graphs with Linear Temporal Logic. 2907-2909 - Sahar Ghassabi, Behshid Behkamal, Mostafa Milani:
Leveraging Knowledge Graphs for Matching Heterogeneous Entities and Explanation. 2910-2919 - Ted Edward Holmberg, Mahdi Abdelguerfi, Elias Ioup:
STROOBnet Optimization via GPU-Accelerated Proximal Recurrence Strategies. 2920-2929 - Jeongbin Lee, Kunyoung Kim, Mye M. Sohn, Jongmo Kim:
GCN-based Explainable Recommendation using a Knowledge Graph and a Language Model. 2930-2936 - Vincenzo De Leo, Gianni Fenu, David Greco, Nicolo Bidotti, Paolo Platter, Enrico Motta, Andrea Giovanni Nuzzolese, Francesco Osborne, Diego Reforgiato Recupero:
Ontology-Based Generation of Data Platform Assets. 2937-2941 - Andrea Linxen, Florian Endel, Simone Opel, Christian Beecks:
Knowledge Graphs for Competency-Based Education. 2942-2945 - Hamidreza Lotfalizadeh, Mohammad Al Hasan:
Force-directed graph embedding with hops distance. 2946-2953 - Ivens Portugal, Paulo S. C. Alencar, Donald D. Cowan:
Knowledge Graphs in Spatial-Temporal Cluster Evolution Analysis. 2954-2957 - Shogo Sato, Tadashi Masuda, Toshiyuki Amagasa:
Supporting Practical URI Mappings in Virtual Knowledge Graph-based Relational Data Integration. 2958-2964 - Kara Schatz, Pei-Yu Hou, Alexey V. Gulyuk, Yaroslava G. Yingling, Rada Chirkova:
BUILD-KG: Integrating Heterogeneous Data Into Analytics-Enabling Knowledge Graphs. 2965-2974 - Min Zhang, Xiaosong Qiao, Yanqing Zhao, Chang Su, Yinglu Li, Yuang Li, Ming Zhu, Mengyao Piao, Song Peng, Shimin Tao, Hao Yang, Yanfei Jiang:
Knowledge Prompt for Whisper: An ASR Entity Correction Approach with Knowledge Base. 2975-2979 - Pierre-Victor Besson, Romain Brisse, Helene Orsini, Natan Talon, Jean-François Lalande, Frédéric Majorczyk, Alexandre Sanchez, Valérie Viet Triem Tong:
CERBERE: Cybersecurity Exercise for Red and Blue team Entertainment, REproducibility. 2980-2988 - Hannes Holm, Erik Hyllienmark:
Hide My Payload: An Empirical Study of Antimalware Evasion Tools. 2989-2998 - Cristoffer Leite, Jerry den Hartog, Daniel Ricardo dos Santos, Elisa Costante:
Automated Cyber Threat Intelligence Generation on Multi-Host Network Incidents. 2999-3008 - Alexios Lekidis, George Daniil, Panagiotis Mavrommatis, Konstantinos Lampropoulos, Odysseas G. Koufopavlou:
AMINet: An Industrial Honeynet for AMI Systems. 3009-3016 - Ran Liu, Robert J. Joyce, Cynthia Matuszek, Charles Nicholas:
Evaluating Representativeness in PDF Malware Datasets: A Comparative Study and a New Dataset. 3017-3024 - Francesco Lupia, Marco Lucchese, Massimo Merro, Nicola Zannone:
ICS Honeypot Interactions: A Latitudinal Study. 3025-3034 - Jihane Najar, Marinos Tsantekidis, Aris Sotiropoulos, Vassilis Prevelakis:
Enhancing Cyber Threat Hunting: A Visual Approach with the Forensic Visualization Toolkit. 3035-3042 - Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue:
Machine Learning-Based Security Alert Screening with Focal Loss. 3043-3052 - Filippo Perrina, Francesco Marchiori, Mauro Conti, Nino Vincenzo Verde:
AGIR: Automating Cyber Threat Intelligence Reporting with Natural Language Generation. 3053-3062 - Manuel Poisson, Valérie Viet Triem Tong, Gilles Guette, Frédéric Guihéry, Damien Crémilleux:
CVE representation to build attack positions graphs. 3063-3067 - Ryan Simons:
Investigating Initial Access Strategies and Malware Deployment Tactics Used by Iranian Advanced Persistent Threat Groups. 3068-3078 - Luis Soeiro, Thomas Robert, Stefano Zacchiroli:
Assessing the Threat Level of Software Supply Chains with the Log Model. 3079-3088 - Koen T. W. Teuwen:
A Modular Approach to Automatic Cyber Threat Attribution using Opinion Pools. 3089-3098 - Irsyad Adam, Alex Waagen, Dana Warmsley, Jiejun Xu:
Learning Explainable Multi-view Representations for Malware Authorship Attribution. 3099-3106 - Malvina Bozhidarova, Jonathn Chang, Aaishah Ale-rasool, Yuxiang Liu, Chongyao Ma, Andrea L. Bertozzi, P. Jeffrey Brantingham, Junyuan Lin, Sanjukta Krishnagopal:
Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups. 3107-3116 - Bohan Chen, Andrea L. Bertozzi:
AutoKG: Efficient Automated Knowledge Graph Generation for Language Models. 3117-3126 - Sam Donald, Rounak Meyur, Sumit Purohit:
Hybrid Attack Graph Generation with Graph Convolutional Deep-Q Learning. 3127-3133 - Karim El Hage, Adel Remadi, Yasmina Hobeika, Ruining Ma, Victor Hong, Francesca Bugiotti:
A multi-source graph database to showcase a recommender system for dyslexic students. 3134-3138 - Iva Krasteva, Dessislava Petrova-Antonova, Flavio De Paoli, Emil Popov Hristov, Milena Borukova, Michele Ciavotta, Roberto Avogadro:
Geospatial Enrichment of Urban Data for Advanced City Planning: a Pilot Study. 3139-3143 - Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing. 3144-3148 - Gabriele Scaffidi Militone, Daniele Apiletti, Giovanni Malnati:
Combining fault-tolerant persistence and low-latency streaming access to binary data for AI models. 3149-3153 - Brandon Delliquadri, Chao Wang, Shuo Chen, Zhengxiong Li, Hui Luo, Hailu Xu:
Fast Meta Failure Recovery for Federated Meta-Learning. 3154-3158 - Chongshuang Hu, Minkang Li, Hufeng Yang, Minghao Li, Jichao Li, Jiang Jiang:
Digital Finance, Market Competition, and Risk-Taking: A Study of Rural Commercial Banks in China. 3159-3167 - Ayato Kitadai, Yudai Tsurusaki, Yusuke Fukasawa, Nariaki Nishino:
Toward a Novel Methodology in Economic Experiments: Simulation of the Ultimatum Game with Large Language Models. 3168-3175 - Sebastian Koch, Stefan Pasch:
CultureBERT: Measuring Corporate Culture With Transformer-Based Language Models. 3176-3184 - Toshio Kokubo, Nobuhito Kon, Morimitsu Kurino, Wakuo Saito, Natsumi Shimada, Masashi Yanagisawa:
Lower Alertness entails More Cooperation: Evidence from Prisoner's Dilemma and Coordination Games. 3185-3193 - Ryoki Motai, Masato Kamebuchi, Sora Watanabe, Ryo Matsumoto, Yukihiko Okada:
Does Double-entry Bookkeeping Information Generated Using node2vec Contribute to Forecasting Future Performance? 3194-3201 - Kazuhito Ogawa, Yusuke Osaki, Tetsuya Kawamura, Hiromasa Takahashi, Satoshi Taguchi, Yoichiro Fujii, Kengo Kurosaka, Kohei Iyori, Naoki Watanabe:
Conducting an Experiment at Multiple Sites with Small Subject Pools: How is Raven Score Effective as a Covariate? 3202-3211 - Rintaro Rai, Takuya Nakashima, Nariaki Nishino:
Port Arrival Reservation System Using Auctions for Fuel Consumption Reduction. 3212-3221 - Yumi Watahiki, Hiroyasu Ando, Isamu Takahara:
Mathematical Model Analysis of Photovoltaic-Induced Land Use Transition. 3222-3230 - Naoki Watanabe, Tetsuya Kawamura, Kazuhito Ogawa:
Efficiency in a College Admission Experiment: A Preliminary Simulation with Cognitive Ability Scores. 3231-3236 - Zeyu Zhou, Mizuki Kobayashi, Uta Sato, Kazuma Akashi, Ayato Kitadai, Soma Sugihara, Yusuke Fukasawa, Masanori Fujuta, Nariaki Nishino:
Evaluating the alleviation of traffic congestion through Bus Rapid Transit using Multi-Agent Simulation. 3237-3244 - Nikita Dalvi, Min Kyung An, Abm Rezbaul Islam, Vung Pham:
Improving Fingerprint Classification Accuracy Using Image Enhancement Deep Learning Models. 3245-3254 - Kamil Faber, Bartlomiej Sniezynski, Roberto Corizzo:
Distributed Continual Intrusion Detection: A Collaborative Replay Framework. 3255-3263 - Yijie Gui, Qizhi Chen, Wensheng Gan, Yongdong Wu:
ODTT: Optimized Dynamic Taxonomy Tree with Differential Privacy. 3264-3273 - Simone Magnani, Stefano Braghin, Ambrish Rawat, Roberto Doriguzzi Corin, Mark Purcell, Domenico Siracusa:
Pruning Federated Learning Models for Anomaly Detection in Resource-Constrained Environments. 3274-3283 - Davide Di Monda, Giampaolo Bovenzi, Antonio Montieri, Valerio Persico, Antonio Pescapè:
IoT Botnet-Traffic Classification Using Few-Shot Learning. 3284-3293 - Rahul Nagarajan, Malemsana Thokchom, Abdullah Irfan Siddiqui, Mohammad I Husain:
EEG Signal-Based Authentication: A Performance Evaluation of Feature Extraction and Classification Techniques. 3294-3303 - Lopamudra Praharaj, Maanak Gupta, Deepti Gupta:
Hierarchical Federated Transfer learning and Digital Twin Enhanced Secure Cooperative Smart Farming. 3304-3313 - Jonas Schnepf, Bernd Scheuermann, Paula Vetter:
Analyzing Data Sets for ML-driven Fraud Detection in SAP Systems. 3314-3324 - Rishabh Shukla, Harkeerat Kaur:
An Experimental Study on Random Projection Based Biometric Security. 3325-3331 - Sandro Fiore, Mattia Rampazzo, Donatello Elia, Ludovica Sacco, Fabrizio Antonio, Paola Nassisi:
A Graph Data Model-based Micro-Provenance Approach for Multi-level Provenance Exploration in End-to-End Climate Workflows. 3332-3339 - Ruyuan Han, Lei Yu:
Evaluate and Compare Machine Learning Models for Temperature Forecasting of Meteorological Data in Hohhot. 3340-3349 - Romeo Kienzler, Johannes Schmude, Naomi Simumba, Benedikt Blumenstiel, Marcus Freitag, Daiki Kimura, Zoltan Arnold Nagy, Michael Behrendt, Hendrik F. Hamann, S. Karthik Mukkavilli, Daniel Salles Civitarese:
TensorBank: Tensor Lakehouse for Foundation Model Training. 3350-3354 - Praveen Kumar, Priyadarshni, Shivani Tripathi, Rajiv Misra:
Proximal Policy Optimization based computations offloading for delay optimization in UAV-assisted mobile edge computing. 3355-3364 - Steve Petruzza, Brian Summa, Amy Gooch, Christine Laney, Tristan Goulden, John M. Schreiner, Steven P. Callahan, Valerio Pascucci:
Interactive Visualization and Portable Image Blending of Massive Aerial Image Mosaics. 3365-3370 - Shahan Salim, Irfhana Zakir Hussain, Jasleen Kaur, Plinio P. Morita:
An Early Warning System for Air Pollution Surveillance: A Big Data Framework to Monitoring Risks Associated with Air Pollution. 3371-3374 - Ajmal Shahbaz, Syed Younas, Lyndon Smith, Chad Staddon:
Estimating Water Storage from Images. 3375-3379 - Aswini Ghosh:
Time Series Transformer for Long Term Rainfall Forecasting Towards Water Distribution Management in Smart Cities. 3380-3386 - Shivani Tripathi, Praveen Kumar, Priyadarshni Gupta, Rajiv Misra, T. N. Singh:
Workload Shifting Based on Low Carbon Intensity Periods: A Framework for Reducing Carbon Emissions in Cloud Computing. 3387-3395 - Anil Verma, Harshit Dhankhar, Rajiv Misra, T. N. Singh, Om Prakash Dhakal:
Analysis and Forecasting of Carbon Emission in SAARC Countries using Attention-based LSTM. 3396-3404 - Ruixin Ding, Bowei Chen, James M. Wilson, Zhi Yan, Yufei Huang:
SRNI-CAR: A Comprehensive Dataset for Analyzing the Chinese Automotive Market. 3405-3412 - Krzysztof Drachal:
Forecasting Commodities Prices with the Bayesian Symbolic Regression Compared to Other Methods. 3413-3421 - Mingwei Lei, Xingfen Wang:
DWT-TimesNet: An Improved Model for Wheat Price Long-Time Series Forecasting. 3431-3438 - Kazuhiro Miyatsu:
Dynamic Price Personalization: Predicting the Optimum Price to Maximize Revenue. 3439-3444 - Wei Shang, Xun Zhang, Rui Tao, Xiuzhenzi Wang, Lili Zhang:
GDP Nowcasting Based on Daily Electricity Data and Financial Market Data. 3445-3452 - Neda Zarayeneh, Malarvizhi Sankaranarayanasamy, Pegah Mavaie, Omanshu Thapliyal, Prasun Singh, Ravigopal Vennelakanti:
Colocation Datacenter Customer Power Usage Forecasting Using Synthetic Data and Integration of Macroeconomic Indicators. 3453-3457 - Jiho Choi, Sung-Woo Byun, Taehoon Lim, Hye In Lee, Hwa Seon Shin, Geon Woo Kim, Jin-Kyung Kwon, Byoung-Cheorl Kang:
Artificial Intelligence-Based Plant Breeding using Genotype and Phenotype Data: Methods and Future Work. 3458-3463 - Francesco Lamonaca, Domenico Luca Carnì:
Synergizing Measurement Science and Artificial Intelligence in Smart Agriculture. 3464-3469 - Dan Chia-Tien Lo, Bobin Deng, Yong Shi:
Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle. 3470-3478 - Saniya Nangia, Thilanka Munasinghe, Heidi Tubbs, Assaf Anyamba:
From Satellites to Fields: Machine Learning Applications for Prediction of Corn Production Using NDVI, Precipitation and Land Surface Temperature for Large Producer Countries. 3479-3488 - Yu Pan, Jianxin Sun, Hongfeng Yu, Geng Bai, Yufeng Ge, Joe Luck, Tala Awada:
Transforming Agriculture with Intelligent Data Management and Insights. 3489-3498 - Geeta Rani, Vijaypal Singh Dhaka, Eugenio Vocaturo, Ester Zumpano:
Crop Loss Estimation in Maize Agriculture: A Deep Learning Perspective. 3499-3502 - Jianxin Sun, Xinyan Xie, Yu Pan, Yakub Islamov, Yufeng Ge, Hongfeng Yu:
Visualization of 3D Hyperspectral Soil Mapping Data via Autoencoder-based Clustering. 3503-3509 - Oscar Tamburis, Mario Magliulo, Adriano Tramontano, Giulio Perillo, Arriel Benis, Serena Calabrò:
Precision Grazing: when Agriculture, Livestock and Technology unite. 3510-3515 - Daniel Timko, Adityan Elangovan, Aruna Elangovan, Mike Sharko, Ali Ahmadinia:
A low-cost IoT-based Smart Farming System For Crop Recommendation and Resource Management. 3516-3523 - Patrizia Vizza, Giuseppe Timpano, Francesco Vescio, Gianmichele Caligiuri, Fulvia Michela Caligiuri, Pasquale Lambardi, Pierangelo Veltri, Pietro H. Guzzi, Giuseppe Tradigo:
Tracking and Predicting Productions in Agricultural Processes: Applications and Experiences. 3524-3529 - Eugenio Vocaturo, Geeta Rani, Vijaypal Singh Dhaka, Ester Zumpano:
AI-Driven Agriculture: Opportunities and Challenges. 3530-3537 - Tianze Zhu, Junyi Wu, Tingyi Tan, Shuheng Wang, Thilanka Munasinghe, Heidi Tubbs, Assaf Anyamba:
Integrating Climate Variable Data in Machine Learning Models for Predictive Analytics of Tomato Yields in California. 3538-3546 - Francesco Cerasuolo, Giampaolo Bovenzi, Christian Marescalco, Francesco Cirillo, Domenico Ciuonzo, Antonio Pescapè:
Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging Threats. 3547-3555 - Abdul-Rasheed Ottun, Mehrdad Asadi, Michell Boerger, Nikolay Tcholtchev, João Gonçalves, Dusan Borovcanin, Bartlomiej Siniarsk, Huber Flores:
One to Rule them All: A Study on Requirement Management Tools for the Development of Modern AI-based Software. 3556-3565 - Omar Abdel Wahab, Anderson Avila:
A Max-Min Security Game for Coordinated Backdoor Attacks on Federated Learning. 3566-3573 - Ziani Zineb, Nahid Emad, Bouaziz Ahmed:
A Novel Approach to Parallel Anomaly Detection: Application in Cybersecurity. 3574-3583 - Ibraheem Aloran, Saeed Samet:
Defending Federated Learning Against Model Poisoning Attacks. 3584-3589 - Prasasthy Balasubramanian, Justin Seby, Panos Kostakos:
Transformer-based LLMs in Cybersecurity: An in-depth Study on Log Anomaly Detection and Conversational Defense Mechanisms. 3590-3599 - Anastasia Cotov, Carlo Bono, Cinzia Cappiello, Barbara Pernici:
Improving Cybersecurity Awareness: Tweet Classification using Multilingual Sentence Embeddings and Contextual Features. 3600-3607 - Imen Labiadh, Larbi Boubchir, Hassene Seddik:
A Cascade CNN Model based on Adaptive Learning Rate Thresholding for Reliable Face Recognition. 3608-3613 - Jiayi Liang, Xi Zhang, Yuming Shang, Sanchuan Guo, Chaozhuo Li:
Clean-label Poisoning Attack against Fake News Detection Models. 3614-3623 - Hina Qayyum, Muhammad Ikram, Benjamin Zi Hao Zhao, Ian D. Wood, Nicolas Kourtellis, Mohamed Ali Kâafar:
Exploring the Distinctive Tweeting Patterns of Toxic Twitter Users. 3624-3633 - Hina Qayyum, Muhammad Ikram, Benjamin Zi Hao Zhao, Ian D. Wood, Nicolas Kourtellis, Mohamed Ali Kâafar:
On mission Twitter Profiles: A Study of Selective Toxic Behavior. 3634-3643 - Supriyo Sadhya, Xiaojun Qi:
Complementary Attention-Based Deep Learning Detection of Fake Faces. 3644-3649 - Abdourahmane Balde, Avewe Bassene, Lamine Faty, Mamadou Soumboundou, Ousmane Sall, Youssou Faye:
Recent Artificial Intelligence Advances in Detection and Diagnosis of Sickle Cell Disease: A review. 3650-3659 - Samuel Belkadi, Lifeng Han, Yu-Ping Wu, Goran Nenadic:
Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition. 3660-3669 - Xunsheng Cai, Syauki Aulia Thamrin, Arbee L. P. Chen:
Graph Encoding-Enhanced Transformer for Drug Recommendation. 3670-3678 - Hugo Calero-Díaz, Rebeen Ali Hamad, Christian Atallah, John Casement, Dexter Canoy, Nick J. Reynolds, Michael Barnes, Paolo Missier:
Interpretable and robust hospital readmission predictions from Electronic Health Records. 3679-3687 - Ayse Betul Cengiz, A. Stephen McGough:
How much data do I need? A case study on medical data. 3688-3697 - Fabio Martinelli, Francesco Mercaldo, Marcello Di Giammarco, Antonella Santone:
Data Poisoning Attacks over Diabetic Retinopathy Images Classification. 3698-3703 - Atif Khan, Conor Lawless, Amy E. Vincent, Charlotte Warren, Valeria Di Leo, Tiago Gomes, A. Stephen McGough:
NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies. 3704-3710 - Asmita Mahajan, Durga Toshniwal:
A Novel Ensemble-Based Framework for Feature Identification and Classification of COVID-19 Electronic Health Record Data. 3711-3720 - Mingming Peng, Askal Ayalew Ali, Hongmei Chi:
Forecasting COVID-19 Hotspots in Florida Public Schools: A Machine Learning Approach. 3721-3730 - Jaemin Song, Yong Oh Lee, Seho Park, Youn Kyu Lee, Hansang Park, Hyun-Bum Kim:
Enhancing Vocal-Based Laryngeal Cancer Screening with Additional Patient Information and Voice Signal Embedding. 3731-3735 - Ramya Tekumalla, Luis Alberto Robles Hernandez, Juan M. Banda:
Towards automatic identification of self-reported COVID-19 tweets: Introducing a multilingual manually annotated dataset, baseline systems and exploratory evaluations. 3736-3742 - Ladjel Bellatreche, Fouad Djellali, Wojciech Macyna, Carlos Ordonez:
Energy-Aware Query Processing: A Case Study on Join Reordering. 3743-3752 - Christophe Cérin, Mathilde Jay, Laurent Lefèvre, Denis Trystram:
A Methodology and a Toolbox to Explore Dataset related to the Environmental Impact of HTTP Requests. 3753-3762 - Giovanni Ciaramella, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Explainable Deep Learning for Smart Grid Stability Detection. 3763-3769 - Keshava Pallavi Gone, Yan Chen, Michael Smit:
Natural Language Processing to Understand Human Activities Impacted by Hydroelectric Energy Projects. 3770-3778 - Shagufta Henna, Asif Yar, Kazeem Saheed, Paulson Grigarichan:
Wireless Sensor Networks Calibration using Attention-based Gated Recurrent Units for Air Pollution Monitoring. 3779-3784 - Mohamad Khalil, A. Stephen McGough, Hussain Kazmi, Sara Walker:
The Forecastability of Underlying Building Electricity Demand from Time Series Data. 3785-3793 - Abdul Mutakabbir, Samuel A. Ajila:
Explainable Long-Term Forecasting of Air Pollution. 3794-3802 - Carolina Minami Oguchi, Dipak Ghosal, Alex Sim, Kesheng Wu:
Counterfactual Analysis: A Case Study on Impact of External Events on Building Energy Consumption. 3803-3812 - Dimitra Paranou, Angelos Pentelas, Dimitris Katsiros, Konstantinos Maidatsis, George Giannopoulos, Evangelos Angelou, Nikos Anastopoulos, George Papastefanatos:
Forecasting Resource Demand for Dynamic Datacenter Sizing in Telco Infrastructures. 3813-3822 - Shirin Salehi, Anke Schmeink:
Is Active Learning Green? An Empirical Study. 3823-3829 - Maciel Zortea, João Lucas de Sousa Almeida, Levente J. Klein, Alberto Costa Nogueira Junior:
Detection of methane plumes using Sentinel-2 satellite images and deep neural networks trained on synthetically created label data. 3830-3839 - Scott E. Brown, David Harman, Cleon Anderson, Matthew Dwyer:
Predictive Modeling of Run Time for Model and Data Distributed Inferencing Using Gradient Boosting Regression. 3840-3846 - Joseph Michael Barton:
Thoughts on Edge Sensing and Processing. 3847-3852 - Scott E. Brown, David Harman, Cleon Anderson, Matthew Dwyer:
Measuring Data Transmissions from the Edge for Distributed Inferencing with gRPC. 3853-3856 - Billy E. Geerhart, Venkat R. Dasari, Peng Wang, Brian Rapp:
Deep learning acceleration at the resource-constrained tactical edge. 3857-3862 - Mariya Occorso, Michael An, Robert Olsen, Vincent Perry:
Anomaly Detection as a Data Reduction Approach for Test Event Analysis at the Edge. 3863-3867 - Ju Wang, Venkat R. Dasari, Billy E. Geerhart, Brian Rapp, Peng Wang:
Real-Time Camera-to-Lidar Calibration for Autonomous Robotic Systems at the Edge. 3868-3873 - Ju Wang, Ahmed F. Mohammed, Grant Patterson:
Performance evaluation of 3D point cloud matching with short-range dense 2D rang. 3874-3879 - Xinyu Wang, Vinod K. Mishra, C.-C. Jay Kuo:
Enhancing Edge Intelligence with Highly Discriminant LNT Features. 3880-3887 - Alì Aghazadeh Ardebili, Antonella Longo, Antonio Ficarella:
Navigating the Future Data-Driven Automation Tools: State-of-the-Art and Research Roadmap for Digital Twins of Energy Systems. 3888-3897 - Sonia Bergamaschi, Luca Gagliardelli:
A Big Data Platform for the Management of Local Energy Communities Data. 3898-3903 - Lorenzo Carnevale, Annamaria Ficara, Alessio Catalfamo, Antonino Galletta, Maria Fazio, Massimo Villari:
Secure and Energy Efficient Filtered Over-the-Air Internet of Things Setup in a Wireless Mesh Network for Firmware Freshness. 3904-3913 - Wanghu Chen, Shengfang Jin, Yihua Luo, Jing Li:
Enhanced Segmentation of PV Arrays in Infrared Images using an Improved SegFormer Approach. 3914-3920 - Symeon Chorozoglou, Elissaios Sarmas, Vangelis Marinakis:
An Integrated ML-Ops Framework for Automating AI-based Photovoltaic Forecasting. 3921-3928 - Hana Kim, Yong Oh Lee, Changsoo Ok, Dongkyun Kim, Seungyup Baek:
Embedding Climate Dynamics and Prediction with Deep Learning for Wind Power Forecasting: Short-Term to Long-Term Perspective. 3929-3935 - Francesco Lamonaca, Domenico Luca Carnì:
A Power Quality Event Classifier Based on Convolutional Neural Network. 3936-3941 - Camilla Lops, Mariano Pierantozzi, Luciano Caroprese, Sergio Montelpare:
A Deep Learning Approach for Climate Parameter Estimations and Renewable Energy Sources. 3942-3951 - Huber Nieto-Chaupis:
Physics Fundamentals of an Internet of Nanomedicine Things. 3952-3955 - Huber Nieto-Chaupis:
Kirchhoff's Voltage Law at Neural Synapse From Electric Currents Based at Neurotransmiters. 3956-3960 - Geeta Rani, Neeraj Tomar, Vijaypal Singh Dhaka, Praveen K. Surolia, Eugenio Vocaturo, Ester Zumpano:
A focused review of ANN-based models for Predicting Absorption Maxima (λmax) of Dyes. 3961-3964 - Shyam Yathirajam, Arash Peighambari, Ruben Roberts, Hamed Nademi, Sreedevi Gutta, Justin Morris, Ali Ahmadinia:
Windfarm Forced Oscillation Detection Using Hyperdimensional Computing. 3965-3972 - Kaloyan Karamitov, Dessislava Petrova-Antonova, Emil Popov Hristov, Milena Borukova:
Supply-Demand Analysis of Urban Amenities Based on Walking Accessibility. 3973-3979 - Matteo Lia, Davide Damiano Colella:
CkanFAIR: a digital tool for assessing the FAIR principles. 3980-3984 - Cristian Martella, Angelo Martella, Amro Issam Hamed Attia Ramadan:
Identifying key factors in designing data spaces for Urban Digital Twin Platforms: a data driven approach. 3985-3994 - Divya Pragna Mulla, Mario A. Bochicchio, Antonella Longo:
Cases Vs Deaths: Which Indicators To Assess The Effectiveness Of Non-Pharmaceutical Interventions During Covid-19 Pandemic? 3995-4001 - Amro Issam Hamed Attia Ramadan, Alì Aghazadeh Ardebili, Antonella Longo, Antonio Ficarella:
Advancing Resilience in Green Energy Systems: Comprehensive Review of AI-based Data-driven Solutions for Security and Safety. 4002-4010 - Angelica Rocco:
Digital Twin supporting Blockchain in construction supply chain: from bio-based materials to energy efficiency and L.C.A.. 4011-4016 - Alessandra Somma, Alessandra De Benedictis, Marco Zappatore, Cristian Martella, Angelo Martella, Antonella Longo:
Digital Twin Space: The Integration of Digital Twins and Data Spaces. 4017-4025 - Mei Takeda, Masaki Onishi:
Generating large-scale human flow datasets from measured pedestrian movement data and simulation. 4026-4030 - Anastasia Kassiani Blitsi, Georgios Stavropoulos, Konstantinos Votis:
Vision Paper: Uncovering Illegal Firearm Transactions in Cryptocurrency Networks. 4031-4035 - Antonella Calò, Matteo Lia, Marco Zappatore, Antonella Longo:
Visual Data Engineering for Conflict and Terrorism Prediction. 4036-4045 - Georgia Chatzimarkaki, Sophia Karagiorgou, Mariza Konidi, Dimitrios Alexandrou, Thanassis D. Bouras, Spyridon Evangelatos:
Harvesting Large Textual and Multimedia Data to Detect Illegal Activities on Dark Web Marketplaces. 4046-4055 - Spyridon Evangelatos, Thanasis Papadakis, Nikolaos Gousetis, Christos Nikolopoulos, Petrina Troulitaki, Nikos Dimakopoulos, George Bravos, Michael V. Lo Giudice, Ali Shadma Yazdi, Alberto Aziani:
The Nexus Between Big Data Analytics and the Proliferation of Fake News as a Precursor to Online and Offline Criminal Activities. 4056-4064 - Lisa Kaati, Amendra Shrestha, Nazar Akrami:
General Risk Index : A Measure for Predicting Violent Behavior Through Written Communication. 4065-4070 - Sotirios Konstantakos, Despina Ioanna Chalkiadaki, Ioannis Mademlis, Adamantia Anna Rebolledo Chrysochoou, Georgios Th. Papadopoulos:
Self-supervised visual learning for analyzing firearms trafficking activities on the Web. 4071-4080 - Ioannis Mademlis, Georgios Batsis, Adamantia Anna Rebolledo Chrysochoou, Georgios Th. Papadopoulos:
Visual inspection for illicit items in X-ray images using Deep Learning. 4081-4089 - Maria Makrynioti, Chaido Porlou, Anastasios Alexiadis, Georgios Stavropoulos, Konstantinos Votis, Dimitrios Tzovaras:
Unveiling Conversational Patterns: Intent Classification and Clustering in Reddit's Firearm Trade Community. 4090-4099 - Kyriaki Miniadou, Eirini Kyriakou, Spyridon Tzagkarakis, Asterios Leonidis, Georgios Th. Papadopoulos, Constantine Stephanidis:
Investigating Visual Analytics against Terrorist Financing in Dark Web Marketplaces. 4100-4109 - Aimen Ahmed Al Odaini, Francesco Zola, Lander Segurola-Gil, Amaia Gil-Lertxundi, Carmen D'Andrea:
Cybersecurity in Public Space: Leveraging CNN and LSTM for Proactive Multivariate Time Series Classification. 4110-4118 - Matteo Berta, Bartolomeo Vacchetti, Tania Cerquitelli:
GINN: Towards Gender InclusioNeural Network. 4119-4126 - Barbara Catania, Giovanna Guerrini, Ziad Janpih:
Mitigating Representation Bias in Data Transformations: A Constraint-based Optimization Approach. 4127-4136 - Stephen Cc Cheng, Clio Yuen Man Cheng, Dah Ming Chiu, Alice Ming Lin Chong, Vivian Weiqun Lou:
Exploring factors influencing the adoption of in-home respite services: A data science approach. 4137-4146 - Eduardo Cruz, Natalia Ramirez, Emanuel Parra, Daniel Ochoa:
Detecting anomalous suppliers in electronic procurement systems using GAAN. 4147-4155 - Cécile Favre, Marie Vialaret:
A Perspective on Data Categorization with Regard to Equity, Diversity, and Inclusion in Data Science. 4156-4165 - Haoran Jia, Haoyu Li, Xinyue Li, Xiaoxian Shen, Yichen Wang, Zichun Liao, Andrea L. Bertozzi, P. Jeffrey Brantingham, Jona Lelmi:
Intentional Youth Development Activities and Peer Effects in a Gang Prevention Program. 4166-4175 - Ruochen Mao, Liming Tan, Rezza Moieni:
Developing a Large-Scale Language Model to Unveil and Alleviate Gender and Age Biases in Australian Job Ads. 4176-4185 - Gregor Milligan, John Harvey, Liz Dowthwaite, Elvira Perez Vallejos, Georgiana Nica-Avram, James Goulding:
Assessing relative contribution of Environmental, Behavioural and Social factors on Life Satisfaction via mobile app data. 4186-4194 - Antonela Tommasel, Ira Assent:
Recommendation fairness and where to find it: An empirical study on fairness of user recommender systems. 4195-4204 - Tejas Venkateswaran, Sheikh Rabiul Islam, Md Golam Moula Mehedi Hasan, Mohiuddin Ahmed:
Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial Intelligence. 4205-4212 - Ismael Villanueva-Miranda, Katherine Mortimer, Monika Akbar, Romelia Rodriguez Reyes, Cynthia Ontiveros, Scott Gray, Pedro Delgado, Victor Medrano, Melissa Anderson, Jacob Ramirez, Jesus Vazquez:
Introducing Computational Thinking in Middle-Schools using a Culturally-responsive Game through a Researcher-Practitioner Partnership. 4213-4222 - Jiaxi Chen, Seung Woo Son:
PSNR-Aware Quantization for DCT-based Lossy Compression. 4223-4232 - Jiajun Huang, Jinyang Liu, Sheng Di, Yujia Zhai, Zizhe Jian, Shixun Wu, Kai Zhao, Zizhong Chen, Yanfei Guo, Franck Cappello:
Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression. 4233-4239 - Francesco De Santis, Danilo Giordano, Marco Mellia, Alessia Damilano:
GLEm-Net: Unified Framework for Data Reduction with Categorical and Numerical Features. 4240-4247 - Kara Schatz, Alexander Tropsha, Rada Chirkova:
GAME: Improving Efficiency and Effectiveness of Knowledge-Graph Rule Mining via Data Reduction. 4248-4257 - Digya Acharya, Hera Siddiqui, Eduardo Pasiliao, Chaity Banerjee:
Mutually Exclusive Learning for Generators with Multi-Label Classifiers. 4258-4267 - Ganesh Arkanath, Nishad Gupta, Hasan Kurban, Parichit Sharma, K. R. Madhavan, Elham Khorasani Buxton, Mehmet M. Dalkilic:
Novel NBA Fantasy League driven by Engineered Team Chemistry and Scaled Position Statistics. 4268-4275 - Minsuk Chang, Han-Joon Kim:
Tensor Space Model-based Textual Data Augmentation for Text Classification. 4276-4283 - Wei Dai, Daniel Berleant:
ASI: Accuracy-Stability Index for Evaluating Deep Learning Models. 4284-4289 - Conor Flynn, Kristin P. Bennett, John S. Erickson, Aaron M. Green, Oshani Seneviratne:
Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance. 4290-4299 - Jiahui Han, Qufei Zhang, Xiaoying Yang, Jinyi Wang:
MIAE: A Mobile Application Recommendation Method Based on a NTK Model. 4300-4307 - Ensiye Kiyamousavi, Boris Kraychev, Ivan Koychev:
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning. 4308-4317 - Reza Yousefi Maragheh, Chenhao Fang, Charan Chand Irugu, Parth Parikh, Jason H. D. Cho, Jianpeng Xu, Saranyan Sukumar, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models. 4318-4324 - Nathalia Moraes do Nascimento, Cristina Tavares, Paulo S. C. Alencar, Donald D. Cowan:
GPT in Data Science: A Practical Exploration of Model Selection. 4325-4334 - Kshira Sagar Sahoo, Shivam Krishana, Monowar H. Bhuyan:
Combining Block Bootstrap with Exponential Smoothing for Reinforcing Non-Emergency Urban Service Prediction. 4335-4343 - Yu Shi, Hannah Tang, Jianxin Sun, Xinyan Xie, Huijing Du, Dandan Zheng, Chi Zhang, Hongfeng Yu:
Tissue-Specific Color Encoding and GAN Synthesis for Enhanced Medical Image Generation. 4344-4349 - Marin Wada, Miho Adachi, Ryusuke Miyamoto:
Effect of Varied Datasets on Training of a Segmentation Model Used in Visual Navigation. 4350-4355 - Marin Wada, Hiroaki Sudo, Miho Adachi, Ryusuke Miyamoto:
Does a Dense Point Cloud for Training Data Generation Improve Segmentation Accuracy? 4356-4361 - Abbas Mazloumi, Mahbod Afarin, Rajiv Gupta:
Expressway: Prioritizing Edges for Distributed Evaluation of Graph Queries. 4362-4371 - Joffrey de Oliveira, Christophe Callé, Olivier Curé:
Adapting Knowledge Graphs to Edge Computing Devices. 4372-4381 - Omid Isfahani Alamdari, Mirco Nanni, Agnese Bonavita:
On the pursuit of Graph Embedding Strategies for Individual Mobility Networks. 4382-4391 - Tianming Du, Chen Li, Tao Jiang, Jinzhu Yang, Marcin Grzegorzek, Hongzan Sun:
Multi-modal Medical Information based Data Mining for Expression and Characteristic Pattern Prediction of TP53 in Endometrial Carcinoma. 4392-4396 - Minghe Gao, Chen Li, Jingyu Zhang, Haoyuan Chen, Weiming Hu, Hechen Yang, Liyu Shi, Yujie Jing, Shuaiyi Tian, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li:
Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model. 4397-4405 - Guannan Geng, Lingling Zhao, Chunyu Wang, Xiaoyan Liu, Junjie Wang:
Continuous Prompt for Chemical Language Model Aided Anticancer Synergistic Drug Combination Prediction. 4406-4412 - Haiping Ding, Liang Wei, Fazu Li, Feng Hu, Pengyue Li, Junjie Chen:
A New Prediction Algorithm Based on Local Neighbor Closeness and Influence of Node. 4413-4423 - Shanchuan Huang, Hongwei Lei, Liuhan Jin, Jinzhu Yang, Tao Jiang, Yudong Yao, Marcin Grzegorzek, Chen Li:
Dermoscopic Image Classification Using Attention Mechanism and Ensemble Learning Approaches. 4424-4431 - Mingyuan Li, Lei Meng, Zhonglin Ye, Haixing Zhao, Yuzhi Xiao, Shujuan Cao:
Multi-scale Heterogeneous Graph Contrastive Learning*. 4432-4441 - Jiaji Ma, Guojing Cong, Scott Auerbach:
Clustering and GNN prediction with DrugMatrix. 4442-4449 - Sayaka Morikoshi, Ryo Niwa, Shunki Takami, Masaki Onishi, Takayuki Itoh:
Proximity Network for Visualizing Infection Risks of Pedestrian Behavior at Large-Scale Events. 4450-4455 - Zheyi Qin, Randy C. Paffenroth, Anura P. Jayasumana:
Graph Coordinates and Conventional Neural Networks - An Alternative for Graph Neural Networks. 4456-4465 - Hechen Yang, Jinzhu Yang, Tao Jiang, Xin Zhao, Jinghua Zhang, Peng Zhao, Ao Chen, Qianqing Nie, Marcin Grzegorzek, Chen Li:
ECA-RetinaNet: A Novel Self-Attention RetinaNet for Environmental Microorganism Image Object Detection. 4466-4474 - B. Shanmukh Krishna, Satya Sai Roopa Sree Chiluvuri, Sai Sri Harshini Kosuri, Sai Sree Harsha Chimbili:
The Application of Long Short-Term Memory and Transformers for Music Generation. 4475-4478 - Aju Ani Justus:
Music Generation using Human-In-The-Loop Reinforcement Learning. 4479-4484 - Callie C. Liao, Duoduo Liao, Jesse Guessford:
Automatic Time Signature Determination for New Scores Using Lyrics for Latent Rhythmic Structure. 4485-4494 - Callie C. Liao:
AI-Algorithmically-Generated Song with Lyrics. 4495-4496 - Wenzhao Liu, Dechao Meng:
Musical Elements Enhancement and Image Content Preservation Network for Image to Music Generation. 4497-4502 - Marcello Messina, Luzilei Aliel:
Things, objects, subjects and stuff: IoMuSt and ubimus perspectives on AI. 4503-4510 - Jeffrey M. Morris:
Snake in the Labyrinth: Scenes from the Machine's Deep Q-Learning Experience. 4511 - Weihan Xu, Julian J. McAuley, Shlomo Dubnov, Hao-Wen Dong:
Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls. 4512-4517 - Yingzixuan Zhang, Kaixuan Niu, Zhian Zhao:
Let the 'Perfect Voice' Always Be There, Positive Affirmation and Negative Anxiety from Online Commentary. 4518-4520 - Blagica Golubova, Fjola Fetaji, Jovana Dobreva, Milena Trajanoska, Ana Todorovska, Riste Stojanov, Dimitar Trajanov:
Assessing the Environmental Impact of Plant-Based Diets: A Comprehensive Analysis. 4521-4529 - John Harvey, Gavin Long, Roberto Mansilla, Simon Welham, Peter Rose, Michelle Thomas, Gregor Milligan, Elizabeth Dolan, Joanne Parkes, Kuzivakwashe Makokoro, James Goulding:
Who consumes anthocyanins and anthocyanidins? Mining national retail data to reveal the influence of socioeconomic deprivation and seasonality on polyphenol dietary intake. 4530-4538 - Dimitar Peshevski, Ana Todorovska, Filip Trajkovikj, Nikola Hristov, Milena Trajanoska, Jovana Dobreva, Riste Stojanov, Dimitar Trajanov:
Methodology for food prices forecasting. 4539-4547 - Sujan Shrestha, Jianxin Sun, Katja Koehler-Cole, Andrea Basche, Hongfeng Yu:
Empowering Cover Crop Decision Support with Visualization and Provenance Enhancement. 4548-4556 - Filip Trajkovikj, Ana Todorovska, Dimitar Peshevski, Lina Nakova, Milena Trajanoska, Jovana Dobreva, Riste Stojanov, Dimitar Trajanov:
A comprehensive study of food prices and food fraud in the European Union. 4557-4566 - Panagiotis Anagnostou, Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Neural Networks Voting for Projection Based Ensemble Classifiers. 4567-4574 - Panagiotis Antoniadis, Christina Sartzetaki, Nick Antonopoulos, Pantelis Papageorgiou, Aigli Korfiati, Vassilis Pitsikalis:
Mask-cscGAN for realistic synthetic cell generation. 4575-4583 - Georgios N. Dimitrakopoulos, Konstantinos Lazaros, Marios G. Krokidis, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos:
A Graph-Based Approach to Integrate Large-Scale Drug and Protein Data for Alzheimer's Disease Drug Repurposing. 4584-4587 - Guohui Ding, Zhaoyi Yuan, Wenjing Tang, Chao Jiang:
Efficient Time Series Classification Based on Learning Similar Trend Features in the Same Class Sequences. 4588-4596 - Andris Docaj, Yu Zhuang:
Speeding Up Unsupervised Learning Through Early Stopping. 4597-4605 - Athanasios Kanavos, Orestis Papadimitriou, Alexios Kaponis, Manolis Maragoudakis:
Enhancing Disease Diagnosis: A CNN-Based Approach for Automated White Blood Cell Classification. 4606-4613 - Marios G. Krokidis, Georgios N. Dimitrakopoulos, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos:
Advanced Big Data Analysis for Deciphering the Role of Protein Misfolding and Interactions in the Pathogenesis of Alzheimer's Disease. 4614-4617 - Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas:
Decoding Gender on Social Networks: An In-depth Analysis of Language in Online Discussions Using Natural Language Processing and Machine Learning. 4618-4625 - Armin Berger, Lars Hillebrand, David Leonhard, Tobias Deußer, Thiago Bell Felix De Oliveira, Tim Dilmaghani Khameneh, Mohamed Khaled, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models. 4626-4635 - Wensheng Gan, Shicheng Wan, Philip S. Yu:
Model-as-a-Service (MaaS): A Survey. 4636-4645 - Pavel Kaganovich, Ophir Münz-Manor, Elishai Ezra Tsur:
Unsupervised Style Transfer of Modern Hebrew using Generative Language Modeling and Zero-Shot Prompting. 4646-4653 - Alex Kaplunovich:
Wealth of Nations, Wealth of Data: How GDP Shapes Diverse Large Language Models like ChatGPT : Interviewing Assorted Open Source Generative AI Models. 4654-4663 - Luis Fernando Lins, Nathalia Moraes do Nascimento, Paulo Sérgio C. de Alencar, Toacy C. Oliveira, Donald D. Cowan:
Comparing Generative Chatbots Based on Process Requirements: A Case Study. 4664-4673 - Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
GPT-in-the-Loop: Supporting Adaptation in Multiagent Systems. 4674-4683 - Maren Pielka, Svetlana Schmidt, Rafet Sifa:
Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules. 4684-4692 - Sohini Roychowdhury, Andres Alvarez, Brian Moore, Marko Krema, Maria Paz Gelpi, Punit Agrawal, Federico Martin Rodriguez, Angel Rodriguez, Jose Ramon Cabrejas, Pablo Martinez Serrano, Arijit Mukherjee:
Hallucination-minimized Data-to-answer Framework for Financial Decision-makers. 4693-4702 - Shirin Tahmasebi, Amir Hossein Payberah, Ahmet Soylu, Dumitru Roman, Mihhail Matskin:
TRANSQLATION: TRANsformer-based SQL RecommendATION. 4703-4711 - Mohan Timilsina, Samuele Buosi, Ping Song, Yang Yang, Rafiqul Haque, Edward Curry:
Enabling Dataspaces Using Foundation Models: Technical, Legal and Ethical Considerations and Future Trends. 4712-4721 - Sanaz Mohammad Jafari, Savas Yildirim, Mucahit Cevik, Ayse Basar:
Anaphoric Ambiguity Resolution in Software Requirement Texts. 4722-4730 - Masahiro Bessho, Tomomori Usaka, Ken Sakamura:
Toward Open and Sustainable Data Platform for Accessible Pedestrian Network. 4731-4739 - Itsuki Matsunaga, Takashi Michikata, Noboru Koshizuka:
ITDT: International Testbed for Dataspace Technology. 4740-4747 - Takashi Michikata, Yusuke Sasaki, Noboru Koshizuka:
Applying Homomoprhic Encryption to Data Spaces Takashi Michikata. 4748-4753 - Divya Singh, Mika Takata, Toshihiko Kashiyama, Satoshi Katsunuma, Norifumi Nishikawa:
Hierarchical Rule Compliance Check Method for Distributed Query. 4754-4760 - Diletta Chiaro, Daniela Annuziata, Stefano Izzo, Francesco Piccialli:
Unveiling engagement in virtual classrooms: a multimodal analysis. 4761-4769 - Yuyang Deng, Ni Zhao, Xin Huang:
Early ChatGPT User Portrait through the Lens of Data. 4770-4775 - Wensheng Gan, Zhenlian Qi, Jiayang Wu, Jerry Chun-Wei Lin:
Large Language Models in Education: Vision and Opportunities. 4776-4785 - Marzena Halama, Katarzyna Filus, Joanna Domanska:
Robust category recognition based on deep templates for educational mobile applications. 4786-4793 - Jie Hong, Tingting He, Jie Mei, Ming Dong, Zheming Zhang, Xinhui Tu:
A Hybrid Corpus based Fine-grained Semantic Alignment Method for Pre-trained Language Model of Ancient Chinese Poetry. 4794-4801 - Nur Kelesoglu, Katarzyna Filus, Joanna Domanska:
HierAct: a Hierarchical Model for Human Activity Recognition in Game-Like Educational Applications. 4802-4811 - Himangshu Sarma, Mahaboob Shaik, Surya Teja Tangirala, Satyam Kumar Singh:
Game Based Virtual Reality Platform for Geometry. 4812-4818 - Kayleigh Tanner, Sarah Plosker, Gautam Srivastava:
A Reflection on Cybersecurity Indigenous Educational Experiences. 4819-4825 - Kutay Acar, Günce Keziban Orman, Sultan Nezihe Turhan:
An Empirical Study of Covid-19 Effect on Health Care Workers' Career Development. 4826-4833 - Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea:
Incorporating Emotions into Health Mention Classification Task on Social Media. 4834-4842 - Émilien Arnaud, Mahmoud Elbattah, Pedro A. Moreno-Sánchez, Gilles Dequen, Daniel Aiham Ghazali:
Explainable NLP Model for Predicting Patient Admissions at Emergency Department Using Triage Notes. 4843-4847 - Sena Atakan, Günce Keziban Orman:
On the usage of Benford's Law on coronavirus data statistics. 4848-4853 - Gaspard Berthelier, Antoine Boutet, Antoine Richard:
Toward training NLP models to take into account privacy leakages. 4854-4862 - Daniel Chia, Priya Deshpande:
Impact and Analysis of Long COVID on Cardiovascular Diseases. 4863-4867 - Shiaofen Fang, Michal Lange, Haoying Fu, Yingying Chen, Yaoying Ma:
Visual Analytics and Exploration of Calcium Transient Imaging Data using Event-Based Clustering. 4868-4874 - Jinan Fiaidhi, Sabah Mohammed:
Learning Cataract Severity Using the Contrast Sensetivity Scale: A Thick Data Approach. 4875-4880 - Ricardo Flores, Avantika Shrestha, M. L. Tlachac, Elke A. Rundensteiner:
Multi-Task Learning Using Facial Features for Mental Health Screening. 4881-4890 - Hai Nguyen, Thanaa M. Ghanem:
A Classification Approach to Detect Social Support in Online Health Communities. 4891-4899 - Ruoqi Huang, Mai Narasaki-Jara, Tingting Chen:
Deep Learning based Driving Posture Stability Analysis for People with Mobility Challenges. 4900-4906 - Jean Pierre Imbert, Salih Murat Egi, Tamer Özyigit:
Classification of Decompression Sickness Signs and Symptoms Using Cluster Analysis. 4907-4911 - K. M. Sajjadul Islam, Ayesha Siddika Nipu, Praveen Madiraju, Priya Deshpande:
Autocompletion of Chief Complaints in the Electronic Health Records using Large Language Models. 4912-4921 - Xuan Jin, Kar Way Tan:
Combat COVID-19 at National Level using Risk Stratification with Appropriate Intervention. 4922-4930 - Kijun Kim, Noboru Koshizuka:
Extending Healthy Life Expectancy: Frailty Detection Model Using Smart Meter and Machine Learning. 4931-4939 - Sabah Mohammed, Jinan Fiaidhi, Rahul Kudadiya:
Integrating a PICO Clinical Questioning to the QL4POMR Framework for Building Evidence-Based Clinical Case Reports. 4940-4947 - Mehmet Kerim Peker, Ahmet Teoman Naskali, Sanem Kiliçaslan, Nuri Özbey:
Precise Temperature Control for Sensitive Medicines. 4948-4953 - Manoj Purohit, Praveen Madiraju:
Predicting Mental Health Disorders Post Long COVID Diagnosis Using Advanced Machine Learning Techniques. 4954-4962 - Helen Schneider, Priya Priya, David Biesner, Rebecca Kador, Yannik C. Layer, Maike Theis, Sebastian Nowak, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa:
Is one label all you need? Single positive multi-label training in medical image analysis. 4963-4972 - Hasan Ali Solgun, Alp Ozcan, Ozgun Pinarer:
Real-Time Heart Rate Monitoring via Wi-Fi Signal. 4973-4978 - Neslihan Suzen, Evgeny M. Mirkes, Damian Roland, Jeremy Levesley, Alexander N. Gorban, Timothy J. Coats:
What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices. 4979-4986 - Irene Testa, Giuseppe Prencipe, Corrado Priami, Alina Sîrbu:
Comparison of Machine Learning Classifiers on Integrated Transcriptomic Data. 4987-4996 - Mohan Timilsina, Saeed H. Alsamhi, Rafiqul Haque, Conor Judge, Edward Curry:
Knowledge Graphs, Clinical Trials, Dataspace, and AI: Uniting for Progressive Healthcare Innovation. 4997-5006 - Sultan N. Turhan:
Leveraging Graph Databases for Enhanced Healthcare Data Management: A Performance Comparison Study. 5007-5013 - Rocco Zhang, Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu:
More than Just a Diagnosis: A Multi-Task Approach to Analyzing Bipolar Disorder on Reddit via DeMHeM. 5014-5023 - Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Jia-Hao Syu, Jerry Chun-Wei Lin, Vaidy S. Sunderam, Dariusz Mrozek:
Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks. 5024-5030 - Piotr Biernacki, Adam Ziebinski, Jia-Hao Syu, Jerry Chun-Wei Lin:
The Calibration of Single Beam Distance Sensors based on Machine Learning Methods. 5031-5037 - Katarzyna Filus, Joanna Domanska:
NetSat: Network Saturation Adversarial Attack. 5038-5047 - Piotr Gaj, Ireneusz Smolka, Jacek Stój:
Reliability Analysis of M2M Cyclic Data Transfer based on ad-hoc Wireless P2P Link. 5048-5056 - Krzysztof Hanzel, Damian Grzechca, Adam Ziebinski, Lukas Chruszczyk, Artur Janus:
Estimating the AGV load and a battery lifetime based on the current measurement and random forest application. 5057-5063 - Anu Kaushik, Rasmeet S. Bali, Gautam Srivastava:
A Fuzzy Optimized Route Selection Framework for Autonomous Vehicles using V-NDN. 5064-5069 - Dariusz Marek, Marcin Paszkuta, Jakub Szygula, Piotr Biernacki, Adam Domanski, Marta Szczygiel, Marcel Król, Konrad Wojciechowski:
General Concepts in Swarm of Drones Control: Analysis and Implementation. 5070-5077 - Karol Marszalek, Adam Domanski, Rafal Cupek, Marek Drewniak:
Testing Quality of Service of communication system for AGV fleet with Software-Defined Network. 5078-5086 - Olena Pavliuk, Mykola O. Medykovskyy, Tomasz Steclik:
Predicting AGV Battery Cell Voltage Using a Neural Network Approach with Preliminary Data Analysis and Processing. 5087-5096 - Dawid Polap, Antoni Jaszcz, Katarzyna Prokop, Gautam Srivastava:
Lightweight CNN based on Spatial Features for a Vehicular Damage Detection System. 5097-5101 - Pian Qi, Fabio Giampaolo, Edoardo Prezioso, Francesco Piccialli:
Unsupervised Learning for Depth Estimation in Unstructured Environments. 5102-5109 - Kirill Rukkas, Piotr Gaj:
Analysis of time management models in AGV wireless communication. 5110-5117 - Lukasz Sobczak, Katarzyna Filus, Marzena Halama, Joanna Domanska:
Visual examination of relations between known classes for deep neural network classifiers. 5118-5126 - Jacek Stój, Piotr Gaj:
Convergent wireless real-time communicaiton using EtherCAT and OPC UA for AGV application with big data sets acquisition. 5127-5133 - Melike Yildiz Aktas, Lulwah Alkulaib, Chang-Tien Lu:
UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime Dataset. 5134-5139 - Lulwah Alkulaib, Chang-Tien Lu:
Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification. 5140-5145 - Shubhi Asthana, Bing Zhang, Ruchi Mahindru, Indervir Singh Banipal, Pawan Chowdhary:
IDMU: Impact Driven Machine Unlearning. 5146-5155 - Alessio Bernardo, Emanuele Della Valle, Albert Bifet:
Choosing the Right Time to Learn Evolving Data Streams. 5156-5165 - Vincent Bolta, Marwan Hassani:
Using Human Mobility Patterns to Forecast Outliers in Citizen Complaints Data. 5166-5175 - Anqi Chu, Xiang Xie, Wilhelm Stork:
Artificial Intelligence for Spectral Analysis: Challenges and Opportunities. 5176-5180 - Nicolas Antonio Cloutier, Nathalie Japkowicz:
Fine-tuned generative LLM oversampling can improve performance over traditional techniques on multiclass imbalanced text classification. 5181-5186 - Alfredo Cuzzocrea, Mojtaba Hajian:
Effective and Efficient Big OLAP Data Cube Compression in Mobile Cloud Environments: The IQTS Algorithm. 5187-5196 - Alfredo Cuzzocrea, Geertruida H. de Bock, Willemijn J. Maas, Selim Soufargi:
F-TBDA: A Frequency-Based Temporal Big Data Analytics Technique for Mining and Analyzing Quality-Of-Life Indicators of Cancer Patients. 5197-5205 - Alfredo Cuzzocrea, Abderraouf Hafsaoui, Carson K. Leung:
Machine-Learning-Based Multidimensional Big Data Analytics over Clouds via Multi-Columnar Big OLAP Data Cube Compression. 5206-5212 - Ricardo Flores, Avantika Shrestha, Elke A. Rundensteiner:
DeepScreen: Boosting Depression Screening Performance with an Auxiliary Task. 5213-5222 - Walter Gerych, Kevin Hickey, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner:
Stabilizing Adversarial Training for Generative Networks. 5223-5232 - Matt Gorbett, Hossein Shirazi, Indrakshi Ray:
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment. 5233-5242 - Himel Das Gupta, Victor S. Sheng:
Neurosymbolic Knowledge Distillation. 5243-5249 - Ruofan Hu, Dongyu Zhang, Dandan Tao, Huayi Zhang, Hao Feng, Elke A. Rundensteiner:
UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness Detection. 5250-5259 - Simon Johansson, Ola Engkvist, Morteza Haghir Chehreghani, Alexander Schliep:
Diverse Data Expansion with Semi-Supervised k-Determinantal Point Processes. 5260-5265 - Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das:
NASEREX: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams. 5266-5271 - Catherine Kosten, Philippe Cudré-Mauroux, Kurt Stockinger:
Spider4SPARQL: A Complex Benchmark for Evaluating Knowledge Graph Question Answering Systems. 5272-5281 - Jianjun Luo, Ryan A. Rossi, Xiangnan Kong, Yanhua Li:
Multi-Item Continuous Influence Maximization. 5282-5291 - Shamiha Binta Manir, Priya Deshpande:
Student success analysis for minority students in higher education. 5292-5298 - Samiyuru Menik, Lakshmish Ramaswamy:
Modular Deep Learning for Big Data: Motivation, Challenges, and Approaches. 5299-5304 - Arpit Narechania, Surya Chakraborty, Shivam Agarwal, Atanu R. Sinha, Ryan A. Rossi, Fan Du, Jane Hoffswell, Shunan Guo, Eunyee Koh, Alex Endert, Shamkant B. Navathe:
DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information. 5305-5310 - Tai Nguyen, Khoa Nguyen, Thanh Nguyen, Tri Nguyen, Anh Nguyen, Karrman Kim:
Hierarchical Uncertainty Aggregation and Emphasis Loss for Active Learning in Object Detection. 5311-5320 - Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani:
Improved Tactical Decision Making and Control Architecture for Autonomous Truck in SUMO Using Reinforcement Learning. 5321-5329 - Francesco Pistolesi, Michele Baldassini, Beatrice Lazzerini:
Speech-Based Detection of In-Car Escalating Arguments to Prevent Distracted Driving. 5330-5337 - Felipe Arruda Pontes, Michael Schukat, Edward Curry:
Uncertainty-Aware Optimisation for Sustainable Multimedia Event Processing in Big Data Streams. 5338-5345 - Wenting Qi, Charalampos Chelmis:
Online Hierarchical Multi-label Classification. 5346-5355 - Abdelmounaam Rezgui:
Scaling Personalized Machine Learning through DTW Clustering: Predicting Glycemia Levels as an Example. 5356-5364 - Sabrina Ichou, Slimane Hammoudi, Alfredo Cuzzocrea, Abdelkrim Meziane, Amel Benna:
Towards Big Data Analytics over Mobile User Data using Machine Learning. 5365-5371 - Srividhya Sethuraman, Uma Maheswari G, Siddhesh Thombre, Sunny Kumar, Vikash Patel, Sharadha Ramanan:
ENCODE: Ensemble Contextual Bandits in Big Data Settings - A Case Study in E-Commerce Dynamic Pricing. 5372-5381 - Mattia Setzu, Salvatore Ruggieri:
Correlation and Unintended Biases on Univariate and Multivariate Decision Trees. 5382-5391 - Ian Whitehouse, Rodrigo Yepez-Lopez, Roberto Corizzo:
Distributed Concept Drift Detection for Efficient Model Adaptation with Big Data Streams. 5392-5397 - Zhang Yuze, Geming Xia, Hongcheng Li, Hongfeng Li, Song Hui:
Task Unloading Algorithm for Mobile Edge Computing based on graph neural network. 5398-5407 - Mst. Shapna Akter, Juanjose Rodriguez-Cardenas, Hossain Shahriar, Alfredo Cuzzocrea, Fan Wu:
Quantum Cryptography for Enhanced Network Security: A Comprehensive Survey of Research, Developments, and Future Directions. 5408-5417 - Mst. Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea, Fan Wu, Juanjose Rodriguez-Cardenas:
A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data. 5418-5427 - Muneeba Asif, Mohammad Ashiqur Rahman, Kemal Akkaya, Hossain Shahriar, Alfredo Cuzzocrea:
Adversarial Data-Augmented Resilient Intrusion Detection System for Unmanned Aerial Vehicles. 5428-5437 - Janusz Bobulski, Sabina Szymoniak, Kamila Pasternak:
Safe data transmission in IoT system for air pollution monitoring. 5438-5443 - Luca Bonomi, Marilyn Lionts, Liyue Fan:
Private Continuous Survival Analysis with Distributed Multi-Site Data. 5444-5453 - Antoine Boutet, Carole Frindel, Mohamed Maouche:
Towards an evolution in the characterization of the risk of re-identification of medical images. 5454-5459 - Alycia N. Carey, Karuna Bhaila, Xintao Wu:
Randomized Response Has No Disparate Impact on Model Accuracy. 5460-5465 - Giuseppe Cascavilla, Alfredo Cuzzocrea, Daniel De Pascale, Mandana Omidbakhsh, Damian A. Tamburri:
BigData Fusion for Trajectory Prediction of Multi-Sensor Surveillance Information Systems. 5466-5475 - Kuan-Chun Chen, Chih-Yao Chen, Cheng-Te Li:
ANTI-Disinformation: An Adversarial Attack and Defense Network Towards Improved Robustness for Disinformation Detection on Social Media. 5476-5484 - Charlie Dickens, Eric Bax:
Matching Noisy Keys for Obfuscation. 5485-5492 - Md. Jobair Hossain Faruk, Jim Basney, Jerry Q. Cheng:
Blockchain-Based Decentralized Verifiable Credentials: Leveraging Smart Contracts for Privacy-Preserving Authentication Mechanisms to Enhance Data Security in Scientific Data Access. 5493-5502 - Jan Fillies, Michael Peter Hoffmann, Adrian Paschke:
Multilingual Hate Speech Detection: Comparison of Transfer Learning Methods to Classify German, Italian, and Spanish Posts. 5503-5511 - Hiroaki Kikuchi, Ayaka Aoyama:
Targeted Ads Analysis: What are The most Targeted Personas? 5512-5518 - Anantaa Kotal, Lavanya Elluri, Deepti Gupta, Varun Mandalapu, Anupam Joshi:
Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis. 5519-5528 - Nina Niederhametner, Rudolf Mayer:
Protecting Multiple Sensitive Attributes in Synthetic Micro-data. 5529-5538 - Damilola Oladimeji, Laura Garland, Jayanthi Ramamoorthy, Bing Zhou:
Ethical Hacking in Digital Forensics. 5539-5548 - Anastasia Pustozerova, Jan Baumbach, Rudolf Mayer:
Differentially Private Federated Learning: Privacy and Utility Analysis of Output Perturbation and DP-SGD. 5549-5558 - Hongyu Qiu, Yongwei Wang, Yonghui Xu, Lizhen Cui, Zhiqi Shen:
FedCIO: Efficient Exact Federated Unlearning with Clustering, Isolation, and One-shot Aggregation. 5559-5568 - Yana Sakhnovych, Richard Röttger, Rudolf Mayer:
A Comparison of Federated Aggregation Strategies and Architectures for Next-word Prediction. 5569-5577 - Tanja Sarcevic, Rudolf Mayer, Philipp Adler:
Achieving Privacy and Tracing Unauthorised Usage: Anonymisation-based Fingerprinting of Private Data. 5578-5587 - Shahrzad Sayyafzadeh, Hongmei Chi, Shuyuan Mary Ho, Idongesit Mkpong-Ruffin:
Enhancing Object Detection in YouTube Thumbnails Forensics with YOLOv4. 5588-5597 - Syed Attique Shah, Emil Anthony Arputham, Awais Ahmed, Mohamed Ben Farah, Attal Shah, Abdul Aziz:
Sorting the Digital Stream: Big Data-driven Insights into Email Classification for Spam and Ham Detection. 5598-5607 - Takumi Sugiyama, Kazuhiro Minami:
Differentially Private Frequency Tables Based on Random Sampling. 5608-5613 - Lisa Trigiante, Domenico Beneventano, Sonia Bergamaschi:
[Vision Paper] Privacy-Preserving Data Integration. 5614-5618 - Tianyu Wang, Zhixiong Chen:
Analyzing Code Text Strings for Code Evaluation. 5619-5628 - Yukihisa Fujita, Teruaki Hayashi, Masahiro Kuwahara:
Topic-Based Search: Dataset Search without Metadata and Users' Knowledge about Data. 5629-5638 - Teruaki Hayashi, Yukihisa Fujita, Masahiro Kuwahara:
Exploring the Fundamental Units of Semantic Representation of Data Using Heterogeneous Variable Network in Data Ecosystems. 5639-5646 - Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu:
Multi-View Graph Convolution for Participant Recommendation. 5647-5656 - Kosuke Manabe, Yukihisa Fujita, Masahiro Kuwahara, Teruaki Hayashi:
Variable-based Learning Considering Topic Specificity in Heterogeneous Data Clustering Tasks. 5657-5664 - Kazuhito Ogawa, Naoki Watanabe:
Resale-proof Trades of Data under Budget Constraints: A Subject Experiment. 5665-5673 - Hiroki Sakaji, Noriyasu Kaneda:
Indexing and Visualization of Climate Change Narratives Using BERT and Causal Extraction. 5674-5683 - Masahiro Suzuki, Masanori Hirano, Hiroki Sakaji:
From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models. 5684-5693 - Takehiro Takayanagi, Kiyoshi Izumi:
Harnessing Behavioral Traits to Enhance Financial Stock Recommender Systems: Tackling the User Cold Start Problem. 5694-5703 - Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea:
Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic. 5704-5713 - Zahra Moteshaker Arani, Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani:
Non-uniform Sampling Methods for Large Itemset Mining. 5714-5722 - Abm. Adnan Azmee, Martin Brown, Md Abdullah Al Hafiz Khan, Dominic Thomas, Yong Pei, Monica Nandan:
Domain-Enhanced Attention Enabled Deep Network for Behavioral Health Identification from 911 Narratives. 5723-5732 - Zhaoming Chen, Xinyang Chen, Guoting Chen, Wensheng Gan:
Frequent Subgraph Mining in Dynamic Databases. 5733-5742 - Roberto Corizzo, Sebastian Leal-Arenas:
One-GPT: A One-Class Deep Fusion Model for Machine-Generated Text Detection. 5743-5752 - Nachiket Deo, Sanguthevar Rajasekaran, Rany Kamel:
Identifying suitable attributes for Record Linkage using Association Analysis. 5753-5760 - Guohui Ding, Yankai Wang, YuQi Liu, Chao Jiang, Lulu Sun:
DG-GLNet: A Graph Convolutional Network for prediction of time sequence with topological structure. 5761-5769 - Tze-Qian Eng, Hsing-Kuo Pao, Chi-Chen Liao:
Self-supervised Federated Learning for Anomaly Detection. 5770-5779 - Hanjuan Huang, Hsuan-Ting Peng, Hsing-Kuo Pao:
Fake News Detection via Sentiment Neutralization. 5780-5789 - Ngai Lam Ho, Roy Ka-Wei Lee, Kwan Hui Lim:
SBTREC - A Transformer Framework for Personalized Tour Recommendation Problem with Sentiment Analysis. 5790-5798 - Muhammad Fawad Akbar Khan, John Edwards, Paul M. Bodily, Hamid Karimi:
Deciphering Student Coding Behavior: Interpretable Keystroke Features and Ensemble Strategies for Grade Prediction. 5799-5808 - Kiana Kheiri, Muhammad Fawad Akbar Khan, Tyler Derr, Hamid Karimi:
An Analysis of the Dynamics of Ties on Twitter. 5809-5817 - Mohammad Mahdi Khosravi, Pinar Karagoz, Ismail Hakki Toroslu:
IndexAI: AI Based Index Selection for NoSQL Databases. 5818-5825 - Ragini Kihlman, Maria Fasli:
Multi-label Co-training using a Graph neural network. 5826-5834 - Abdüsselam Koç, Özlem Albayrak, Yasar Kurt, Perin Ünal:
A Study to Compare YOLO Family Models for Metal Surface Anomaly Detection. 5835-5841 - Janet Layne, Edoardo Serra:
A Novel Method to Enable Transfer Learning of Structural Graph Representations. 5842-5851 - Alvina Lee Hui Shan, Venky Shankararaman, Eng Lieh Ouh:
Vision Paper: Advancing of AI Explainability for the Use of ChatGPT in Government Agencies - Proposal of A 4-Step Framework. 5852-5856 - Ke Li, Bin Guo, Siyuan Ren, Yasan Ding, Zhiwen Yu:
Multi-Source Selective Transfer Learning for Fake News Detection in New Event. 5857-5866 - Jeremy Mechouche, Mohamed Sellami, Zakaria Maamar, Roua Touihri, Walid Gaaloul:
Process mining approach for Multi-Cloud SLA Reporting. 5867-5876 - Kasim Oztoprak, Reza Hassanpour:
Efficient Dynamic Federated Learning for Imbalanced Data. 5877-5879 - Jinsheng Pan, Zichen Wang, Weihong Qi, Hanjia Lyu, Jiebo Luo:
Understanding Divergent Framing of the Supreme Court Controversies: Social Media vs. News Outlets. 5880-5887 - Mogens Graf Plessen:
A posteriori Trading-inspired Model-free Time Series Segmentation. 5888-5896 - Michael Reidy, Henry Mallon, Jiebo Luo:
Investigating the Effectiveness of Deep Learning and CFA Interpolation Based Classifiers on Identifying AIGC. 5897-5903 - Peter Samoaa, Linus Aronsson, Philipp Leitner, Morteza Haghir Chehreghani:
Batch Mode Deep Active Learning for Regression on Graph Data. 5904-5913 - Dmitry Serykh, Stefan Oehmcke, Cosmin E. Oancea, Dainius Masiliunas, Jan Verbesselt, Yan Cheng, Stéphanie Horion, Fabian Gieseke, Nikolaj Hinnerskov:
Seasonal-Trend Time Series Decomposition on Graphics Processing Units. 5914-5923 - Brodrick Stigall, Ryan A. Rossi, Jane Hoffswell, Xiang Chen, Shunan Guo, Fan Du, Eunyee Koh, Kelly Caine:
On Chatbots for Visual Exploratory Data Analysis. 5924-5929 - Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jingyun Wang, Pietro Lio:
A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning. 5930-5939 - Jenq-Haur Wang, Yi-Fang Chen:
Combining Transformers and Tree-based Decoders for Solving Math Word Problems. 5940-5945 - Hande Çavsi Zaim, Esra N. Yolacan, Uraz Yavanoglu:
Intelligent Attack Detection in ROS-based Systems. 5946-5950 - Enting Zhou, Yurong Liu, Hanjia Lyu, Jiebo Luo:
A Fine-Grained Analysis of Public Opinion toward Chinese Technology Companies on Reddit. 5951-5959 - Shashank Hebbar, Ying Xie, Jiang Zhong:
TreeBERT: Advanced Representation Learning for Relation Extraction. 5960-5966 - Shan Huang, Wensheng Gan, Jinbao Miao:
Targeted Querying of Closed High-Utility Itemsets. 5967-5976 - Hong Lin, Wensheng Gan, Gengsen Huang, Philip S. Yu:
USER: Towards High-Utility Sequential Rules with Repetitive Items. 5977-5986 - Yu Pan, Jianxin Sun, Hongfeng Yu:
LM-DiskANN: Low Memory Footprint in Disk-Native Dynamic Graph-Based ANN Indexing. 5987-5996 - Danny Y. C. Wang, Lars Arne Jordanger, Jerry Chun-Wei Lin:
Explainability of Leverage Points Exploration for Customer Churn Prediction. 5997-6004 - Jieting Wu, Jianxin Sun, Xinyan Xie, Tian Gao, Yu Pan, Hongfeng Yu:
Accelerating Web-based Graph Visualization with Pixel-Based Edge Bundling. 6005-6014 - Yixin Xu, Cuiwei Peng, Jiahui Chen, Wensheng Gan, Shicheng Wan:
Mining Rare Utility Patterns within Target Items. 6015-6024 - Tzu-Hsuan Yang, Cheng-Te Li:
When Contrastive Learning Meets Graph Unlearning: Graph Contrastive Unlearning for Link Prediction. 6025-6032 - Radoslaw Cybulski, Piotr Artiemjew:
Data Streaming in Concept-Dependent Granulation. 6033-6039 - Kerven Durdymyradov, Mikhail Moshkov:
Time and Space Complexity of Deterministic and Nondeterministic Decision Trees: Local Approach. 6040-6045 - Tzung-Pei Hong, Jin-Hang Wu, Ja-Hwung Su, Tang-Kai Yin:
Effective Face Inpainting by Conditional Generative Adversarial Network. 6046-6050 - Hyun Jung Lee, Mye M. Sohn:
Context-based Fact-checking Using Knowledge Graph. 6051-6056 - Tomohiro Kimura, Shusaku Tsumoto, Shoji Hirano:
Analysis of Medical Incident Reports using Text Mining*. 6057-6062 - Hiroyuki Ikedo, Tomohiro Kimura, Shusaku Tsumoto, Shoji Hirano:
Using Hospital Information System Data to Estimate Nursing Care Needs. 6063-6068 - Jannic Cutura, Stefan Pasch:
Breaking the U: Asymmetric U-Net for Object Recognition in Muon Tomography☆. 6069-6075 - Dymitr Ruta, Robert Ruta:
Iterative Deep Learning for Muon Scattering Tomography. 6076-6083 - Mateusz Wnuk, Jan Dziuba, Andrzej Janusz, Dominik Slezak:
IEEE BigData Cup 2023 Report: Object Recognition with Muon Tomography Using Cosmic Rays. 6084-6091 - Giuseppe Stragapede, Rubén Vera-Rodríguez, Ruben Tolosana, Aythami Morales, Ivan DeAndres-Tame, Naser Damer, Julian Fiérrez, Javier Ortega-Garcia, Nahuel González, Andrei Shadrikov, Dmitrii Gordin, Leon Schmitt, Daniel Wimmer, Christoph Großmann, Joerdis Krieger, Florian Heinz, Ron Krestel, Christoffer Mayer, Simon Haberl, Helena Gschrey, Yosuke Yamagishi, Sanjay Saha, Sanka Rasnayaka, Sandareka Wickramanayake, Terence Sim, Weronika Gutfeter, Adam Baran, Mateusz Krzyszton, Przemyslaw Jaskola:
IEEE BigData 2023 Keystroke Verification Challenge (KVC). 6092-6100 - Shabbab Algamdi, Stephanie Ludi:
Enhancing Digital Learning: A Usability Evaluation of the Canvas LMS at the University of North Texas A Pilot Study at the University of North Texas. 6101-6103 - Ibrahim Almubark:
Brain Stroke Prediction Using Machine Learning Techniques. 6104-6108 - Krisztián Boros, Masafumi Oyamada:
Towards Large Language Model Organization: A Case Study on Abstractive Summarization. 6109-6112 - Sukbeom Chang, Youeel Sadek Kamal Abdelnour, Ivis María Companioni Cardoso, Jeongho Kim, Seon Tae Kim, Joo Hee Oh:
Assessing Regional Disparities in Human Development and Multidimensional Poverty: A Satellite Imagery and Machine Learning Approach. 6113-6115 - Sanjusha Cheemakurthi, Min Chen:
Master-ASL: Sign Language Learning and Assessment System. 6116-6118 - Jang-Ho Choi, Moonyoung Chung, Jiyong Kim:
An Augmentation-agnostic Semantic Preserving Technique for Data Generation. 6119-6121 - Dillon Chrimes, Emile Keruzore:
Text mining using clinical terms in electronic records of annual falls of patients in home community care. 6122-6124 - Dillon Chrimes, Ivan Tang:
Big data usability text mining of publicly available YouTube electronic health record (EHR) tutorials. 6125-6127 - Dillon Chrimes, Chanhee Kim:
Comparison of MIMIC-III and MIMIC-IV for big data analytics of health informatics. 6128-6130 - Ethan Cruz, Thilanka Munasinghe:
Exploring Power Outage Prediction Using Weather and Socioeconomic Data in the Southeastern Part of the United States. 6138-6142 - Rob Fleur, Addy Ireland, Xintong Zhao, Scott McClellan, Eric Paltoo, Tianyu Su, Channyung Lee, Yuan An, Xiaohua Hu, Elif Ertekin, Jane Greenberg:
Investigating Data Reusability in Density Functional Theory Studies. 6143-6144 - Elena Flondor:
Exploring AndroidManifest.xml for Automated Android Apps Classification. 6145-6147 - Byron J. Gao:
Introducing the Partial Clustering Problem. 6148-6151 - Giuseppe Di Giacomo, Giulio Franzese, Tania Cerquitelli, Carla-Fabiana Chiasserini, Pietro Michiardi:
Multi-View Latent Diffusion. 6152-6154 - Fahad Hakami, Lin-Ching Chang:
Enhanced Arrhythmia Classification through Feature Engineering and Hierarchical Modeling. 6155-6158 - Seunghoon Han, Sungsoo Kim, Sungsu Lim:
Improved Dynamic Coupled Graph Convolutional Recurrent Networks for Traffic Forecasting. 6159-6161 - Jisoo Hong, Youngjin Jung, Kang Sung Woo:
Image Data Augmentation and Detection Study for Pothole Detection Algorithm. 6162-6164 - Shahadat Hossain, Raheem Mir, Emam Hossain:
Complex Networks Exploration With Triangles. 6165-6168 - Miyoung Jang, Dong-Myung Sul, Jongho Won, Ji-Yong Kim:
Design and Implementation of Blockchain Data Analysis Platform. 6169-6171 - Haeun Jang, Sanghee Kim, Jongseok Jeon, Joohee Oh:
Voice of Employee: Impact of Online Reviews on Company and Job Seeker Matching Performance. 6172-6174 - Yi-Lu Jiang, Wen-Chang Chang, Chih-Yi Chiu:
Pineapple Quality Classification in a Multimodal Audio-Visual Dataset. 6175-6177 - Geuna Jo, Hyuk Lim, Seunghyun Yoon:
Combining Wavelet and MFCC Features for Emotion Recognition in Conversation. 6178-6179 - Youngjin Jung, Jisoo Hong, Solip Kim, Kang Sung Woo:
Ammunition Management in the AI Era: Towards CBM+ and Shelf-life Analysis. 6180-6182 - Mariusz Kubanek, Janusz Bobulski, Lukasz Karbowiak:
Interpreting and understanding the image using deep learning and imprecise information from the monitoring system. 6183-6185 - Sungsoo Kim, Moonyoung Chung:
Fast Graph Learning for Traffic Prediction. 6186-6188 - Sunhee Kim, Sang-Ho Chu, Yong-Jin Park, Chang-Yong Lee:
A computational method of identifying false positives in the variant calling. 6189-6191 - Jeongseon Kim, Sungsoo Kim, Sungsu Lim:
Performance Evaluation of Data Imputation Methods for Graph Deep Learning-Based Traffic Prediction. 6192-6194 - Suha Kim, Hyuk Lim, Seunghyun Yoon:
Bi-Directional Face Tracking for Precise Facial De-identification in Video Data. 6195-6197 - Seonu Kim, Yoel Shin, SeongWoo Park, Semakula Joel, Seon Tae Kim, Joo Hee Oh:
Detecting Greenwashing in Sustainability Disclosures: A Prediction Model for KOSPI 200 Enterprises using ESG-BERT. 6198-6200 - Kamuna Kipa, Nigel Kari Totona, Eunbi Cho, Jeongho Kim, Seon Tae Kim, Joo Hee Oh:
A Data-Driven Approach to Predict Social Impact of Rural Tourism: Insights from UNWTO's Video Campaigns. 6201-6203 - Ryosuke Kobayashi, Nobuo Shigeta, Nobuyuki Saji, Rie Shigetomi Yamaguchi:
Optimization of Public Bus Route in a Smart City Utilizing Real-time Human Location Data Analysis. 6204-6206 - Angel Kodituwakku, Clark Xu, Daniel Rogers, David K. Ahn, Errin W. Fulp:
Temporal Aspects of Cyber Threat Intelligence. 6207-6211 - Evgeny Krivosheev, Katsiaryna Mirylenka, Mattia Atzeni, Paolo Scotton:
Graph Neural Networks for Entity Matching. 6212-6214 - Tai-Yeon Ku, Wan-Ki Park, Hoon Choi:
Energy BigData platform for residential heat information. 6215-6217 - Jinhyeok Lee, Hyunjung Kim:
Utilizing text mining and GIS analysis on the vulnerable disaster type of the elderly living alone. 6218-6220 - Jia Mei Grace Lim, Olakunle Olayinka:
Threat Hunting in Internet of Things Networks with Bio-Inspired Models. 6221-6223 - Gawon Lim:
Feature Importances for Predicting Future Performance of Professional Soccer Player. 6224-6226 - Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert:
Big Data and Data Visualization Challenges. 6227-6229 - Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert:
Comparison of SQL, NoSQL, and NewSQL Database Technologies. 6230-6232 - Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert:
IoT-based Big Data Storage Systems Challenges. 6233-6235 - Wing-Lam Mok, SungHo Kim:
Mitigating Annotation Artifacts in Physical Commonsense Reasoning Benchmark. 6236-6238 - Kihyuk Nam, Taewhi Lee, Sung-Soo Kim, Insik Shin:
Learning for Spatio-temporal and Relational Data. 6239-6241 - Jiwon Ock, Taewhi Lee, Seongmin Kim:
Privacy-preserving Approximate Query Processing with Differentially Private Generative Models. 6242-6244 - Daniel F. O. Onah, Asia Ibrahim:
Evaluating Speech Emotion Recognition through the lens of CNN & LSTM Deep Learning Models. 6245-6247 - Wan-Ki Park, Tai-Yeon Ku:
AI Composite Sensor using BigData for Energy Management System. 6248-6250 - Sae Hyong Park, Namseok Ko:
Pangolin: Incast Avoidance in Large Datacenter Networks. 6251-6253 - Minseo Park, Hyuk Lim, Seunghyun Yoon:
Dividing and Merging for Imbalanced Long-Tail Datasets. 6254-6256 - Hyeonmin Park, Jeongho Kim, Eunbi Cho, Joo Hee Oh:
Predicting Patent Transfer in the Manufacturing Industry: A Machine Learning Model for Patent Analytics Using BERT. 6257-6259 - Joanne Parkes, Andrew Smith, Steve Benford, Michael Evans, Lianne Kerlin:
Compulsive Bingers or Faithful Fans: Binge-watching behaviour analysis using viewing data and Twitter discourse for 'The Traitors US'. 6260-6262 - Pepita Raventós Pajares, Meritxell Simon Martin, Josep Ballber Botey, Celio Hernández-Tornero, Roberto García González, Glòria Jové Monclús:
AI in Archival Holdings and Digital History: Interrelational, Dialogical and Cooperative Interdisciplinary Partnerships. 6263-6264 - Ryo Saito, Keita Ushida, Tatsuya Arakawa:
A Study on Watching Support of Werewolf Game Using Log Data Analyzed with Machine Learning. 6265-6267 - Georg Stefan Schlake, Christian Beecks:
Towards Automated Clustering. 6268-6270 - Rafet Sifa, Fabian Hadiji:
Towards Retention Analysis in NFT-based Blockchain Games. 6271-6274 - Rafet Sifa, Edwin Yang:
A Comparative Analysis of Data Augmentation Approaches for Improved Minority Behavior Detection in Digital Games. 6275-6278 - Aakhya Singh, Chirag Bhatia, Sohom Ghosh:
The Effect of Tweets on the Traded Volume of Crypto-Coins. 6279-6282 - Giulliano Silva Zanotti Siviero, Shiva Jahangiri:
Towards a Memory-Adaptive Hybrid Hash Join Design. 6283-6285 - Hyewon Song, Moonyoung Chung:
Recurrent Traffic Demand Generation using Urban Traffic Simulation with Cell-based Behavior Model and Real Traffic Data. 6286-6288 - Giwon Sur, Hyejin Kim, Seunghyun Yoon, Hyuk Lim:
Development of AI-based Intrusion Detection System with Real-Time Flow Feature Extraction. 6289-6291 - Tan Tran, Lin-Ching Chang, Peter S. Lum:
Functional Arm Movement Classification in Stroke Survivors Using Deep Learning with Accelerometry Data. 6292-6294 - Vasuda Trehan:
How Wildfire Wreaked Havoc in California: Impact of evacuation on residents? 6295-6297 - Vasuda Trehan:
AI-Powered Archives: Revolutionizing Information Access for the Future. 6298-6300 - Edward Trudeau, Lin-Ching Chang, Yoshio Nakamura, Mohamad Koubeissi, Julio Bermudez:
Classification of Cognitive-Aesthetic Responses Using Machine Learning and EEG Data. 6301-6304 - Joel Witzke, Florian Schintke, Ansgar Lößer, Björn Scheuermann:
Proactive Resource Management to Optimize Distributed Workflow Executions. 6305-6307 - Yuki Yada, Tsuneo Matsumoto, Fuyuko Kido, Hayato Yamana:
Why is the User Interface a Dark Pattern?: Explainable Auto-Detection and its Analysis. 6308-6310 - Jyoti Yadav, Aparna S. Varde, Lei Xie:
Comprehensive cough data analysis on CODA TB. 6311-6313 - Masanori Yamanaka:
Data mining of electronic structure of proteins and quantum evolution. 6314-6316 - Dongho Yang, Sangwhan Cha:
An Alternative Illustration to Generalize Sprague-Grundy Theorem. 6317-6319 - Xintong Zhao, Kyle Langlois, Jacob Furst, Scott McClellan, Rob Fleur, Yuan An, Xiaohua Hu, Fernando J. Uribe-Romo, Diego A. Gómez-Gualdrón, Jane Greenberg:
When LLM Meets Material Science: An Investigation on MOF Synthesis Labeling. 6320-6321 - Jaehyuk An, Younghoon Kwon, Yoon-Sik Cho:
A Supervised Autoencoder for Human Activity Recognition with Inertial Sensors. 1-5 - Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan:
Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs. 1-7 - Greta Temporin, Alessandra Colombelli:
Towards organizational change: a framework for evaluating trends and approaches in Gender Equality Plans. 1-8 - Vijayalakshmi Saravanan, Acharya Pramod, Laxman Poudel, Praveen Paramasivam:
Predictive Precision: LSTM-Based Analytics for Real-time Stock Market Visualization. 1-6 - Giovanni Ciaramella, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
A Proposal for Trustworthy Artificial Intelligence. 1-3
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last updated on 2024-10-02 20:49 CEST by the dblp team
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