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ORCID10th DSAA 2023: Thessaloniki, Greece
- 10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023, Thessaloniki, Greece, October 9-13, 2023. IEEE 2023, ISBN 979-8-3503-4503-2
- Giang Ngo, Nhi N. Y. Vo:
Enhancing recommendation systems with hybrid manifold regularized knowledge graph. 1-8 - Maciej Szelazek, Dan Hudson, Szymon Bobek, Grzegorz J. Nalepa, Martin Atzmueller:
Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery. 1-11 - Udhaya Kumar Rajendran, Amir Ben Khalifa, Amine Trabelsi:
Learning Representations through Contrastive Strategies for a more Robust Stance Detection. 1-9 - Lukas Miklautz
, Andrii Shkabrii, Collin Leiber, Bendeguz Tobias, Benedict Seidl, Elisabeth Weissensteiner, Andreas Rausch, Christian Böhm, Claudia Plant:
Non-Redundant Image Clustering of Early Medieval Glass Beads. 1-12 - Isaac Manring, James H. Hill, George O. Mohler, P. Jeffrey Brantingham, Thomas Williams, Bruce White:
Low-Cost Gunshot Detection System with Localization for Community Based Violence Interruption. 1-7 - Alessandro Falcetta, Massimo Pavan, Stefano Canali, Viola Schiaffonati, Manuel Roveri:
To Personalize or Not To Personalize? Soft Personalization and the Ethics of ML for Health. 1-10 - João Victor Galvão da Mata, Martin S. Andersen:
AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces. 1-7 - Alejandro Kuratomi, Zed Lee, Ioanna Miliou, Tony Lindgren, Panagiotis Papapetrou:
ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces. 1-10 - Debaditya Roy, Sarunas Girdzijauskas:
Temporal Differential Privacy for Human Activity Recognition. 1-10 - Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid:
Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks. 1-4 - Nabi Rezvani, Amin Beheshti, Xuyun Zhang:
A Contextualized Transformer-Based Method for Cyberbullying Detection. 1-10 - Albert Calvo, Santiago Escuder, Josep Escrig, Marta Arias, Nil Ortiz, Jordi Guijarro:
A Data-driven Approach for Risk Exposure Analysis in Enterprise Security. 1-9 - Ameeta Agrawal, Lisa Singh, Elizabeth Jacobs, Yaguang Liu, Gwyneth Dunlevy, Rhitabrat Pokharel, Varun Uppala:
All Translation Tools Are Not Equal: Investigating the Quality of Language Translation for Forced Migration. 1-10 - Etienne Vareille, Adel Abbas, Michele Linardi, Vassilis Christophides:
Evaluating Explanation Methods of Multivariate Time Series Classification through Causal Lenses. 1-10 - Arshveer Kaur, Poonam Goyal, Navneet Goyal:
LSFuseNet: Dual-Fusion of Landsat-8 and Sentinel-2 Multispectral Time Series for Permutation Invariant Applications. 1-10 - Errikos Streviniotis, Nikos Giatrakos, Yannis Kotidis, Thaleia Ntiniakou, Miguel Ponce de Leon:
Optimizing Resource Allocation for Tumor Simulations over HPC Infrastructures. 1-10 - Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti, Lia Morra:
Toward a Realistic Benchmark for Out-of-Distribution Detection. 1-10 - Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search. 1-2 - Martin Trat, Jivka Ovtcharova:
Designing Concept Drift Detection Ensembles: A Survey. 1-10 - Haiting Sun, Peng Tian, Yun Xiong, Yao Zhang, Yali Xiang, Xing Jia, Haofen Wang:
DynamiSE: Dynamic Signed Network Embedding for Link Prediction. 1-2 - Beatriz Flamia Azevedo, Ana Maria A. C. Rocha, Ana I. Pereira:
Hybrid Approaches to Optimization and Machine Learning Methods. 1-2 - Luisa Werner, Nabil Layaïda, Pierre Genevès, Sarah Chlyah:
Knowledge Enhanced Graph Neural Networks. 1-10 - Alessia Galdeman, Matteo Zignani, Sabrina Gaito:
Unfolding temporal networks through statistically significant graph evolution rules. 1-10 - Suzan Hajj, Joseph Azar, Jacques Bou Abdo, Jacques Demerjian, Abdallah Makhoul, Dominique Ginhac:
Cross-layer Federated Heterogeneous Ensemble Learning for Lightweight IoT Intrusion Detection System. 1-10 - Youssef Oubelmouh, Frédéric Fargon, Cyril De Runz, Arnaud Soulet, Cyril Veillon:
Identifying Survival-Changing Sequential Patterns for Employee Attrition Analysis. 1-10 - Yadi Han, Shanshan Wang, Yiwen Li, Xueyang Cao, Limei Huang, Zhenxiang Chen:
Measurement of Illegal Android Gambling App Ecosystem From Joint Promotion Perspective. 1-11 - Kaixia Hu, Wensheng Gan, Gengsen Huang, Guoting Chen, Jerry Chun-Wei Lin:
Incremental Targeted Mining in Sequences. 1-10 - Pascal Weber, Lukas Miklautz, Akshey Kumar, Moritz Grosse-Wentrup, Claudia Plant:
CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning. 1-10 - Witold Wydmanski, Oleksii Bulenok, Marek Smieja:
HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets. 1-9 - (Withdrawn) Organizational Resource Scheduling using Deep Reinforcement Learning. 1-10
- Keheng Wang, Chuantao Yin, Rumei Li, Sirui Wang, Yunsen Xian, Wenge Rong, Zhang Xiong:
TOCOL: Improving Contextual Representation of Pre-trained Language Models via Token-Level Contrastive Learning. 1-3 - Xiyao Cheng, Yuanxun Zhang, Harsh Joshi, Mayank Kejriwal, Prasad Calyam:
Knowledge Graph-based Embedding for Connecting Scholars in Academic Social Networks. 1-10 - Yun Luo, Liangfu Lu, Xudong Cui, Yan Du, Yingying Bi, Limin Zhu, Christy Jie Liang:
Novel few-shot learning based fuzzy feature detection algorithms. 1-9 - Bishal Lakha, Jason Duran, Edoardo Serra, Francesca Spezzano:
Prediction of Future Nation-initiated Cyberattacks from News-based Political Event Graph. 1-8 - Rongbo Yang, Qianmu Li, Shunmei Meng:
Stochastic Perturbation Averaging Boosts Transferability of Adversarial Examples. 1-7 - Nourhan Ahmed, Lars Schmidt-Thieme:
Sparse Self-Attention Guided Generative Adversarial Networks for Time-Series Generation. 1-2 - Zhikun Yuen, Paula Branco, Aaron Chew, Guy-Vincent Jourdan, Fabian Lim, Laura Wynter:
Are GNNs the Right Tool to Mine the Blockchain? The Case of the Bitcoin Generator Scam. 1-11 - Soudabeh Taghian Dinani, Doina Caragea:
Disaster Image Classification Using Pre-trained Transformer and Contrastive Learning Models. 1-11 - Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
PANACEA: A Neural Model Ensemble for Cyber-Threat Detection. 1-2 - Quan Van Nguyen, Huy Quang Pham, Dan Quang Tran, Thang Kien-Bao Nguyen, Nghia Hieu Nguyen:
MAT: Effective Link Prediction via Mutual Attention Transformer. 1-4 - Carolina Stephanie Jerônimo de Almeida, Zenilton K. G. do Patrocínio, Simon Malinowski, Silvio Jamil Ferzoli Guimarães, Guillaume Gravier:
A Novel Method for Temporal Graph Classification based on Transitive Reduction. 1-10 - Zefeng Chen, Wensheng Gan, Gengsen Huang, Yanxin Zheng, Philip S. Yu:
Towards Contiguous Sequences in Uncertain Data. 1-10 - Weiwu Yang:
Achieving High Performance in Link Prediction for Wikipedia Articles Using Ensemble Approach. 1-4 - Youcef Djenouri, Ahmed Nabil Belbachir:
Empowering Urban Connectivity in Smart Cities using Federated Intrusion Detection. 1-9 - Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng:
Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. 1-9 - Ashutosh Dhar Dwivedi, Subhayu Dutta, Subhrangshu Adhikary, Jens Myrup Pedersen:
Price Prediction of Digital Currencies using Machine Learning. 1-9 - Issam Benamara, Emmanuel Viennet:
Contextual Advertising Strategy Generation via Attention and Interaction Guidance. 1-10 - Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue:
Interpretable time series neural representation for classification purposes. 1-10 - Marek Pawlicki:
Towards Quality Measures for xAI algorithms: Explanation Stability. 1-10 - Pei-Chang Chen, Hao-Shang Ma, Jen-Wei Huang:
Natural Language Inference by Integrating Deep and Shallow Representations with Knowledge Distillation. 1-10 - Apostolos Giannoulidis, Ioannis Mavroudopoulos:
Enhanced Edge Prediction, a case study: predicting links in Wikipedia sites. 1-4 - Kuan Yan, Junbin Gao, Dmytro Matsypura:
FIW-GNN: A Heterogeneous Graph-Based Learning Model for Credit Card Fraud Detection. 1-10 - Sebastián Basterrech, Andrzej Kasprzak, Jan Platos, Michal Wozniak:
A Continual Learning System with Self Domain Shift Adaptation for Fake News Detection. 1-10 - Fatoumata Dama, Christine Sinoquet, Corinne Lejus-Bourdeau:
A Framework for Context-Sensitive Prediction in Time Series - Feasibility Study for Data-Driven Simulation in Medicine. 1-12 - Hamid Sarmadi, Thorsteinn S. Rögnvaldsson, Nils Roger Carlsson, Mattias Ohlsson, Ibrahim Wahab, Ola Hall:
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks. 1-10 - Léonard Tschora, Tias Guns, Erwan Pierre, Marc Plantevit, Céline Robardet:
Electricity Price Forecasting based on Order Books: a differentiable optimization approach. 1-10 - Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
Combating Disinformation with Holistic Architecture, Neuro-symbolic AI and NLU Models. 1-9 - Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, Maxim Panov:
ScaleFace: Uncertainty-aware Deep Metric Learning. 1-10 - Fahim Faisal, Carson K. Leung, Noman Mohammed, Yang Wang:
Privacy-Preserving Learning via Data and Knowledge Distillation. 1-10 - Carina Newen, Emmanuel Müller:
On the Independence of Adversarial Transferability to Topological Changes in the Dataset. 1-8 - Xinzhi Wang, Nengjun Zhu, Jiahao Li, Yudong Chang, Zhennan Li:
Entity Recognition Based on Heterogeneous Graph Reasoning of Visual Region and Text Candidate. 1-2 - Jiaxing Jason Mai, Carson K. Leung, Connor C. J. Hryhoruk, Adam G. M. Pazdor:
Enhanced Mining of High Utility Patterns from Streams of Dynamic Profit. 1-10 - Yang Yang, Zhilin Zhao, Longbing Cao:
Deep Spectral Copula Mechanisms Modeling Coupled and Volatile Multivariate Time Series. 1-10 - Mahammad Shareef Mekala, Eyad Elyan, Gautam Srivastava:
Object-aware Multi-criteria Decision-Making Approach using the Heuristic data-driven Theory for Intelligent Transportation Systems. 1-8 - Dimitrios Proios, Anthony Yazdani, Alban Bornet, Julien Ehrsam, Islem Rekik, Douglas Teodoro:
Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data. 1-10 - Michiharu Yamashita, Jia Tracy Shen, Thanh Tran, Hamoon Ekhtiari, Dongwon Lee:
JAMES: Normalizing Job Titles with Multi-Aspect Graph Embeddings and Reasoning. 1-10 - Chau-Thang Phan, Quoc-Nam Nguyen, Kiet Van Nguyen:
Link Prediction for Wikipedia Articles as a Natural Language Inference Task. 1-4 - Maksim Koptelov, Margaux Holveck, Bruno Crémilleux, Justine Reynaud, Mathieu Roche, Maguelonne Teisseire:
Towards a (Semi-)Automatic Urban Planning Rule Identification in the French Language. 1-10 - Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, Stefan Decker:
Interpreting Black-box Machine Learning Models for High Dimensional Datasets. 1-10 - Katarzyna Filus, Joanna Domanska:
Recycling of generic ImageNet-trained models for smart-city applications. 1-10 - Friedemann Schwenkreis:
Automated Detection of Trajectory Groups Based on SNN-Clustering and Relevant Frequent Itemsets. 1-10 - Bochao Zhang, Rui Shao, Jingda Du, Pong C. Yuen, Wei Luo:
Tackling Model Mismatch with Mixup Regulated Test-Time Training. 1-7 - Dimitrios Akrivousis, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas:
Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction. 1-9 - Youxingzhu Deng, Yipeng Zhou, Gang Liu, Jessie Hui Wang, Shui Yu:
Enhancing Federated Learning by One-Shot Transferring of Intermediate Features from Clients. 1-11 - Sebastian Pokucinski, Dariusz Mrozek:
YOLO-based Object Detection in Panoramic Images of Smart Buildings. 1-9 - Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier:
LITE: Light Inception with boosTing tEchniques for Time Series Classification. 1-10 - Ruoxuan Zhu, Yi Qian, Hui Zheng, Xing Wang, Junlan Feng, Lin Zhu, Chao Deng:
Spatial-Temporal Residual Multi-Graph Convolution Network for Traffic Forecasting. 1-10 - Peter D. Nagy, Heidar Davoudi:
Towards Deep Learning Models for Automatic Computer Program Grading. 1-10 - Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
Model Stitching Algorithm for Fake News Detection Problem. 1-7 - Guowei Zhang, Xuyun Zhang, Zhiyong Wang, Amin Beheshti:
Multi-Granularity Entity Recognition based Sentence Ranking for Multi-Document Summarization. 1-10 - Saeed Alqubaisi, Deepak Puthal, Joy Dutta, Ernesto Damiani:
Privacy-aware Adaptive Collaborative Learning Approach for Distributed Edge Networks. 1-10 - Krzysztof Kutt, Lukasz Sciga, Grzegorz J. Nalepa:
Emotion-based Dynamic Difficulty Adjustment in Video Games. 1-5 - Zhen Yuen Chong, Yaping Zhao, Zhongrui Wang, Edmund Y. Lam:
Solving Inverse Problems in Compressive Imaging with Score-Based Generative Models. 1-10 - Yang Lin:
AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting. 1-10 - Raphaelle Akhras, Wassim El-Hajj, Hazem M. Hajj, Khaled B. Shaban, Rabih Jaber:
ECC: Enhancing Smart Grid Communication with Ethereum Blockchain, Asymmetric Cryptography, and Cloud Services. 1-10 - Yash Gupta, Navneet Goyal, Vishal John Varghese, Poonam Goyal:
Utilizing MODIS Fire Mask for Predicting Forest Fires Using Landsat-9/8 and Meteorological Data. 1-10 - Grzegorz Dudek:
Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality. 1-10 - Daniele Giampaoli, Francesca Cipollini, Denise Maffione, Luca Oneto:
Short-term Forecast and Long-term Simulation for Accurate Energy Consumption Prediction. 1-4 - Jingxiang Xu, Ying Guo, Ziqi Wang, Fei Li, Ke Geng:
Underwater Localization based on Robust Privacy-Preserving and Intelligent Correction of Sound Velocity. 1-10 - Srivas Chennu, Andrew Maher, Christian Pangerl, Subash Prabanantham, Jae Hyeon Bae, Jamie Martin, Bud Goswami:
Rapid and Scalable Bayesian AB Testing. 1-10 - Bozena Malysiak-Mrozek, Mario Bas, Vaidy S. Sunderam, Stanislaw Kozielski, Dariusz Mrozek:
Predicting Conflict Zones on Terrestrial Routes of Automated Guided Vehicles with Fuzzy Querying on Apache Kafka. 1-8 - Junyao Hu, Yimin He, Weiyu Zhang, Shuchao Pang, Ruhao Ma, Anan Du:
A Multimodal Adversarial Database: Towards A Comprehensive Assessment of Adversarial Attacks and Defenses on Medical Images. 1-10 - Yaping Zhao, Qunsong Zeng, Edmund Y. Lam:
Adaptive Compressed Sensing for Real-Time Video Compression, Transmission, and Reconstruction. 1-10 - Dominik Bojko, Jacek Cichon, Miroslaw Kutylowski:
Sliding Window Sampling over Data Stream - a Solution Based on Devil's Staircases. 1-9 - Arijit Khan, Ehsan Bonabi Mobaraki:
Interpretability Methods for Graph Neural Networks. 1-4 - George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu, Hakim Hacid:
Practical Insights on Incremental Learning of New Human Physical Activity on the Edge. 1-4 - Shruti Saxena, Joydeep Chandra:
EvoAlign: A Continual Learning Framework for Aligning Evolving Networks. 1-10 - Chiyu Cai, Wei Wang, Yuan Jiang:
Adaptive Clustered Federated Learning with Representation Similarity. 1-8 - David Ing, Fabien Delorme, Saïd Jabbour, Nelly Robin, Lakhdar Sais:
Classification with Explanation for Human Trafficking Networks. 1-10 - André Mourão, Daniel Gomes:
Searching images in a web archive. 1-10 - Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu:
Causal Feature Selection: Methods and a Novel Causal Metric Evaluation Framework. 1-9 - Amal Saadallah:
Online Explainable Model Selection for Time Series Forecasting. 1-10 - Giuseppe Rizzo, Angelo Impedovo:
Supplier qualification document recognition through open-set recognition. 1-10 - Mohamed Alqadhi, Ali Alkinoon, Saeed Salem, David Mohaisen:
Understanding the Country-Level Security of Free Content Websites and their Hosting Infrastructure. 1-10 - Yaoze Liu, Junwei Du, Haojie Li, Guanfeng Liu:
Graph Disentangled Collaborative Filtering based on Multi-order Similarity Constraint. 1-10 - David Ojo, Nusayer Masud Siddique, Carson K. Leung, Connor C. J. Hryhoruk:
Machine Learning-Based Android Malware Detection. 1-10 - Alexandros Karakikes, Panagiotis Alexiadis, Theocharis Theocharopoulos, Nikolaos Skoulidas, Dimitrios Spiliotopoulos, Konstantinos Kotis:
Towards Handling Bias in Intelligence Analysis with Twitter. 1-10 - Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski:
ProPML: Probability Partial Multi-label Learning. 1-8 - Yan-Wen Xiong, Heng-Ru Zhang, Fan Min, Peng-Cheng Li:
Sample Topology Exploration for Label Distribution Learning. 1-9 - Veronica Guidetti, Giovanni Dolci, Erica Franceschini, Erica Bacca, Giulia Jole Burastero, Davide Ferrari, Valentina Serra, Fabrizio Di Benedetto, Cristina Mussini, Federica Mandreoli:
Death After Liver Transplantation: Mining Interpretable Risk Factors for Survival Prediction. 1-10 - Hadi Fanaee-T:
1NN-DTW ARIMA LSTM: A new ensemble for forecasting multi-domain/multi-context time series. 1-10 - Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel, Martin Atzmueller:
Hyperparameter Analysis of Wide-Kernel CNN Architectures in Industrial Fault Detection - An Exploratory Study. 1-2 - Jiaxi Li, Guansong Pang, Ling Chen, Mohammad-Reza Namazi-Rad:
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks. 1-10 - Anh Hoang Tran, Tam Minh Nguyen, Son T. Luu:
A Text-based Approach For Link Prediction on Wikipedia Articles. 1-4 - Raed Abdallah, Hassan Harb, Yehia Taher, Salima Benbernou, Rafiqul Haque:
CRIMEO: Criminal Behavioral Patterns Mining and Extraction from Video Contents. 1-8 - Wei Liang, Derui Ding, Hui Yu:
PAF-Tracker: A Novel Pre-Frame Auxiliary and Fusion Visual Tracker. 1-2 - João Victor Galvão da Mata, Martin S. Andersen:
Link Prediction on Graphs Using NLP Embedding. 1-3 - Raphael Fischer, Andreas Pauly, Rahel Wilking, Anoop Kini, David Graurock:
Prioritization of Identified Data Science Use Cases in Industrial Manufacturing via C-EDIF Scoring. 1-4 - Jaroslaw Flak, Tomasz Skowron, Rafal Cupek, Marcin Fojcik, Dariusz Caban, Adam Domanski:
ZigBee Network for AGV Communication in Industrial Environments. 1-9 - Wan-Jhen Wu, Shiou-Chi Li, Jen-Wei Huang:
ISGP: Influence Maximization on Dynamic Social Networks Using Influence SubGraph Propagation. 1-10 - Xiangfu Meng, Hongjin Huo, Xiaoyan Zhang, Wanchun Wang:
Lightweight Graph Convolutional Collaborative Filtering Recommendation Approach Incorporating Social Relationships. 1-9 - Chiara Balestra, Bin Li, Emmanuel Müller:
slidSHAPs - sliding Shapley Values for correlation-based change detection in time series. 1-10 - Jianhong Wu, Yingdong Ma:
A CNN-Transformer Hybrid Network for Multi-scale object detection. 1-7 - Christina Karagianni, Eva Paraschou, Sofia Yfantidou, Athena Vakali:
MINDSET: A benchMarking suIte exploring seNsing Data for SElf sTates inference. 1-10 - Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin:
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations. 1-10 - Gopal Singh Jamnal:
Instils Trust in Random Forest Predictions. 1-9 - Aditya Kansal, Rishabh Mehta:
Predict Link Between Nodes Using An Ensemble Modelling Combining Depth Search Algorithm And Textual Similarity Score. 1-2 - Soheila Farokhi, Aswani Yaramala, Jiangtao Huang, Muhammad Fawad Akbar Khan, Xiaojun Qi, Hamid Karimi:
Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning. 1-10 - Cynthia Hom, William Yik, George D. Montañez:
Finite-Sample Bounds for Two-Distribution Hypothesis Tests. 1-11
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