default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDACM Transactions on Intelligent Systems and Technology, Volume 16
Volume 16, Number 1, February 2025
- Lina Yao
, Julian J. McAuley, Xianzhi Wang, Dietmar Jannach:
Special Issue on Responsible Recommender Systems Part 2. 1:1-1:3 - Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr:
Fairness and Diversity in Recommender Systems: A Survey. 2:1-2:28 - Aris Anagnostopoulos, Luca Becchetti, Matteo Böhm, Adriano Fazzone, Stefano Leonardi, Cristina Menghini, Chris Schwiegelshohn:
Fair Projections as a Means toward Balanced Recommendations. 3:1-3:32 - Chao Yan, Weiyi Zhong, Dengshuai Zhai, Arif Ali Khan, Wenwen Gong, Yanwei Xu, Baogui Xin:
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation. 4:1-4:18 - Chenhao Zhang, Weitong Chen, Wei Zhang, Miao Xu:
Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items. 5:1-5:26 - Giacomo Medda, Francesco Fabbri, Mirko Marras, Ludovico Boratto, Gianni Fenu:
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning. 6:1-6:26 - Lucas Möller, Sebastian Padó:
Explaining Neural News Recommendation with Attributions onto Reading Histories. 7:1-7:25 - Hao Liao, Shuo Wang, Hao Cheng, Wei Zhang, Jiwei Zhang, Mingyang Zhou, Kezhong Lu, Rui Mao, Xing Xie:
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning. 8:1-8:24 - Haojie Zhuang, Wei Zhang, Weitong Chen, Jian Yang, Quan Z. Sheng:
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation. 9:1-9:23 - Peter Carragher, Evan M. Williams, Kathleen M. Carley:
Misinformation Resilient Search Rankings with Webgraph-Based Interventions. 10:1-10:27 - Shanshan Ye, Jie Lu:
Robust Recommender Systems with Rating Flip Noise. 11:1-11:19 - Suleyman Uslu, Davinder Kaur, Samuel J. Rivera, Arjan Durresi, Meghna Babbar-Sebens, Jenna H. Tilt:
A Trustworthy and Responsible Decision-Making Framework for Resource Management in Food-Energy-Water Nexus: A Control-Theoretical Approach. 12:1-12:29 - Hongliang Sun, Zhiying Tu, Dianbo Sui, Bolin Zhang, Xiaofei Xu:
A Federated Social Recommendation Approach with Enhanced Hypergraph Neural Network. 13:1-13:23 - Thirasara Ariyarathna, Meisam Mohommady, Hye-young Paik, Salil S. Kanhere:
DeepSneak: User GPS Trajectory Reconstruction from Federated Route Recommendation Models. 14:1-14:22 - Jennifer Golbeck:
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation. 15:1-15:13
- Alessandro Fabris, Nina Baranowska, Matthew J. Dennis, David Graus, Philipp Hacker, Jorge Saldivar, Frederik J. Zuiderveen Borgesius, Asia J. Biega:
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey. 16:1-16:54
- Lokendra Birla, Trishna Saikia, Puneet Gupta:
AVENUE: A Novel Deepfake Detection Method Based on Temporal Convolutional Network and rPPG Information. 17:1-17:16 - Yihong Zhang, Takahiro Hara:
Extracting Political Interest Model from Interaction Data Based on Novel Word-level Bias Assignment. 18:1-18:21 - Jihoon Ko, Shinhwan Kang, Taehyung Kwon, Heechan Moon, Kijung Shin:
BeGin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning. 19:1-19:22 - Sophie Fleischmann, Simon Dietz, Julian Shanbhag, Annika Wuensch, Marlies Nitschke, Jörg Miehling, Sandro Wartzack, Sigrid Leyendecker, Bjoern M. Eskofier, Anne D. Koelewijn:
Exploring Dataset Bias and Scaling Techniques in Multi-Source Gait Biomechanics: An Explainable Machine Learning Approach. 20:1-20:19 - Gennaro Auricchio, Jun Liu, Qun Ma, Jie Zhang:
Edge Manipulations for the Maximum Vertex-Weighted Bipartite b-matching. 21:1-21:26 - Megha Thukral, Harish Haresamudram, Thomas Plötz:
Cross-Domain HAR: Few-Shot Transfer Learning for Human Activity Recognition. 22:1-22:35 - Junpei Tokunaga, Yuki Kikukawa, Hiroyuki Ebara, Naonori Ueda:
Fast and Accurate Evacuation Planning Algorithm with Bayesian Optimization. 23:1-23:21 - Cuiying Huo, Dongxiao He, Yawen Li, Di Jin, Jianwu Dang, Witold Pedrycz, Lingfei Wu, Weixiong Zhang:
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning. 24:1-24:21 - Genan Dai, Weiyang Kong, Yubao Liu, Bowen Zhang, Xiaojiang Peng, Xiaomao Fan, Hu Huang:
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction. 25:1-25:19
Volume 16, Number 2, April 2025
- Kamal Taha:
Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey. 26:1-26:75 - Cristiano Mesquita Garcia, Ramon Abílio, Alessandro Lameiras Koerich, Alceu de Souza Britto Jr., Jean Paul Barddal:
Concept Drift Adaptation in Text Stream Mining Settings: A Systematic Review. 27:1-27:67
- Vinayak Gupta, Srikanta Bedathur, Abir De:
Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing. 28:1-28:23 - Zhongping Zhang, Daoheng Liu, Jinwei Zhu, Youxi Wu:
Unsupervised Outlier Detection with Reinforced Noise Discriminator. 29:1-29:26 - Wout Schellaert, Fernando Martínez-Plumed, José Hernández-Orallo:
Analysing the Predictability of Language Model Performance. 30:1-30:26 - Yujuan Sun, Xing Huang, Yanfang Cui, Junyu Dong, Xiaofeng Zhang, Tao Yao:
An Underwater Imaging Generative Adversarial Network by Simulating the Mechanism of Light Propagation in Water. 31:1-31:18 - Jungwoo Huh, Jiwoo Kang, Jongwook Woo, Sanghoon Lee:
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization. 32:1-32:24 - Sara Ghane, Stef Jacobs, Thomas Huybrechts, Peter Hellinckx, Siegfried Mercelis, Ivan Verhaert, Erik Mannens:
Model-Free Deep Reinforcement Learning for Adaptive Supply Temperature Control in Collective Space Heating Systems. 33:1-33:31 - Yang Wei, Shuo Chen, Shanshan Ye, Bo Han, Chen Gong:
Robust Learning under Hybrid Noise. 34:1-34:27 - Qingbo Zhang, Xiaochun Yang, Hao Chen, Bin Wang, Zhu Sun, Xiangmin Zhou:
Adaptive Intention Learning for Session-Based Recommendation. 35:1-35:26 - Amir Samadi, Konstantinos Koufos, Kurt Debattista, Mehrdad Dianati:
Counterfactual Explainer for Deep Reinforcement Learning Models using Policy Distillation. 36:1-36:22 - Nanxu Gong, Wangyang Ying, Dongjie Wang, Yanjie Fu:
Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation. 37:1-37:21 - Oguzhan Ozcelik, Cagri Toraman, Fazli Can:
Detecting Misinformation on Social Media using Community Insights and Contrastive Learning. 38:1-38:27 - Pei-En Li, Yao-Hua Ho:
Predicting the Occurrence of Respiratory Diseases Based on Campus Indoor Air Quality. 39:1-39:22 - Chunyang Bi, Mingnuo Teng, Tianhao Xie, Kun Li, Jingyu Yang:
JASRNet: Learning Joint Adaptive Sampling and Reconstruction for Depth Sensing. 40:1-40:23 - Chang Wei, Wengen Li, Yichao Zhang, Jihong Guan, Shuigeng Zhou:
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction. 41:1-41:22 - Zhida Qin, Wenhao Xue, Lu Zheng, Xiaoying Gan, Hongqiu Wu, Haiming Jin, Luoyi Fu:
Cost-aware Best Arm Identification in Stochastic Bandits. 42:1-42:28 - Ke-Jia Chen, Wenhui Mu, Zulong Liu, Zheng Liu:
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks. 43:1-43:22 - Yu Fan, Xinjiang Lu, Hao Liu, Pengfei Wang, Liang Liu, Huadong Ma, Jingbo Zhou:
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective. 44:1-44:24 - Simone Papicchio, Paolo Papotti, Luca Cagliero:
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data. 45:1-45:26 - Ran Wang, Hua Zuo, Zhen Fang, Jie Lu:
Integrated Image-Text Augmentation for Few-Shot Learning in Vision-Language Models. 46:1-46:19 - Trung-Hieu Le, Shih-Chia Huang, Quoc-Viet Hoang, Zdenek Lokaj, Zhihui Lu:
Amalgamating Knowledge for Object Detection in Rainy Weather Conditions. 47:1-47:20 - Zhaohui Wei, Lizi Liao, Xinguang Xiang, Xiaoyu Du:
Enriching Responses with Crowd-Sourced Knowledge for Task-Oriented Conversational Agents. 48:1-48:24 - Meng Chen, Zechen Li, Hongwei Jia, Xin Shao, Jun Zhao, Qiang Gao, Min Yang, Yilong Yin:
MGRL4RE: A Multi-Graph Representation Learning Approach for Urban Region Embedding. 49:1-49:23
Volume 16, Number 3, June 2025
- Hanjia Lyu, Jinfa Huang, Daoan Zhang, Yongsheng Yu, Xinyi Mou, Jinsheng Pan, Zhengyuan Yang, Zhongyu Wei, Jiebo Luo:
GPT-4V(ision) as A Social Media Analysis Engine. 50:1-50:54 - Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang:
Causal Inference for Recommendation: Foundations, Methods, and Applications. 51:1-51:51
- Junho Shin, Younghoon Lee:
Improving the Summarization Effectiveness of Abstractive Datasets through Contrastive Learning. 52:1-52:15 - Na Chen, Ping Li, Jincheng Huang, Kai Zhang:
Denoising Structure against Adversarial Attacks on Graph Representation Learning. 53:1-53:23 - Pei-Xuan Li, Hsun-Ping Hsieh:
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor. 54:1-54:20 - Akshat Mangal, Santosh Singh Rathore:
ATE-FS: An Average Treatment Effect-Based Feature Selection Technique for Software Fault Prediction. 55:1-55:28 - Ashly Ann Jo, Ebin Deni Raj, Jayakrushna Sahoo:
Efficiency and Performance Optimization in Large Language Models through IB Fine-Tuning. 56:1-56:23 - Jayant Vyas, Jayesh Budhwani, Debasis Das:
PRO-MTL: Parameterized Route Optimization Using Multi-Task Learning. 57:1-57:23 - Ruichao Yang, Jing Ma, Wei Gao, Hongzhan Lin:
LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information. 58:1-58:27 - Siyu Wang, Xiaocong Chen, Lina Yao:
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning-Based Recommendation Systems. 59:1-59:20 - Ching Chang, Wei-Yao Wang, Wen-Chih Peng, Tien-Fu Chen:
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters. 60:1-60:20 - Yu Liu, Quanming Yao, Yong Li:
Modeling N-ary Relational Knowledge Bases with Tensor Decomposition. 61:1-61:29 - Diego Corrêa da Silva, Dietmar Jannach, Frederico Araújo Durão:
Considering Time and Feature Entropy in Calibrated Recommendations. 62:1-62:29 - Tannishtha Devgun, Rahul Saha, Gulshan Kumar, Mauro Conti:
PIN: Application-Level Consensus for Blockchain-Based Artificial Intelligence Frameworks. 63:1-63:25 - Wenhui Meng, Jiayi Xie, Jing Yi, Yaochen Zhu, Zhenzhong Chen:
Disentangling User Interest and Geographical Context for POI Recommendations. 64:1-64:19 - Zihan Hu, Jiuxiang You, Zhenguo Yang, Xiaoping Li, Haoran Xie, Qing Li, Wenyin Liu:
A Multi-Hop Graph Reasoning Network for Knowledge-Based VQA. 65:1-65:23 - Xin Sun, Yongqing Mi, Hongao Li:
Enhancing Aspect Sentiment Classification with Dual-Channel Graph Convolutional Network. 66:1-66:17 - Roberto Pietrantuono, Stefano Russo:
Automatic Generation of Plausible Co-Occurring Causes for Effects Explanation or Prediction. 67:1-67:31 - Antonio Marino, Claudio Pacchierotti, Paolo Robuffo Giordano:
A Gated Graph Neural Network Approach to Fast-Convergent Dynamic Average Estimation. 68:1-68:18 - Ciyuan Peng, Huafei Huang, Tianqi Guo, Chengxuan Meng, Jingjing Zhou, Wenhong Zhao, Ruwan B. Tennakoon, Feng Xia:
Joint Structural-Functional Brain Graph Transformer. 69:1-69:25 - Xuri Ge, Fuhai Chen, Songpei Xu, Fuxiang Tao, Jie Wang, Joemon M. Jose:
Hire: Hybrid-Modal Interaction with Multiple Relational Enhancements for Image-Text Matching. 70:1-70:23 - Seungyeon Lee, Ruoqi Liu, Wenyu Song, Lang Li, Ping Zhang:
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification. 71:1-71:23 - Jinxiao Fan, Pengfei Wang, Liang Liu, Huadong Ma:
Self-Optimizing Teacher and Auto-Matching Student Framework for Change-Point Representation Learning in Time Series Forecasting. 72:1-72:25 - Li-Wei Chang, Cheng-Te Li, Chun-Pai Yang, Shou-de Lin:
Learning on Missing Tabular Data: Attention with Self-Supervision, Not Imputation, Is All You Need. 73:1-73:24
Volume 16, Number 4, August 2025
- Wenda Shi, Waikeung Wong, Xingxing Zou:
Generative AI in Fashion: Overview. 74:1-74:73 - Maryam Hashemi, Ali Darejeh, Francisco Cruz:
Understanding User Preferences in Explainable Artificial Intelligence: A Mapping Function Proposal. 75:1-75:37
- Chenglong Xu, Peipei Song, Shengeng Tang, Dan Guo, Xun Yang:
Alleviating Confirmation Bias in Learning with Noisy Labels via Two-Network Collaboration. 76:1-76:21 - Jiayang Wu, Wensheng Gan, Huashen Lu, Philip S. Yu:
Graph Contrastive Learning on Multi-label Classification for Recommendations. 77:1-77:19 - Gabriele Civitarese, Michele Fiori, Priyankar Choudhary, Claudio Bettini:
Large Language Models Are Zero-Shot Recognizers for Activities of Daily Living. 78:1-78:32 - Salvatore Greco, Moreno La Quatra, Luca Cagliero, Tania Cerquitelli:
Towards AI-Assisted Inclusive Language Writing in Italian Formal Communications. 79:1-79:24 - Md Athikul Islam, Edoardo Serra, Sushil Jajodia:
GenFighter: A Generative and Evolutive Textual Attack Removal. 80:1-80:23 - Shima Rashidi, Ruwan B. Tennakoon, Aref Miri Rekavandi, Papangkorn Jessadatavornwong, Amanda Freis, Garret Huff, Mark Easton, Adrian Mouritz, Reza Hoseinnezhad, Alireza Bab-Hadiashar:
IT-RUDA: Information Theory-Assisted Robust Unsupervised Domain Adaptation. 81:1-81:17 - Sixian Chan, Xianpeng Zeng, Zhoujian Wu, Yu Wang, Xiaolong Zhou, Tinglong Tang, Jie Hu:
Adaptive Target-Oriented Tracking. 82:1-82:15 - Ahoud Alhazmi, Abdulwahab Aljubairy, Wei Emma Zhang, Quan Z. Sheng, Elaf Alhazmi:
Can Interpretability of Deep Learning Models Detect Textual Adversarial Distribution? 83:1-83:24 - Ismail AlQerm, Nuo Cheng, Jianli Pan:
PREUS: Proactive and Robust Edge-UAV Systems for Autonomous Monitoring in Dynamic Environments. 84:1-84:20 - Guang-Yu Zhang, Dong Huang, Chang-Dong Wang:
Large-Scale Tensorized Multi-View Kernel Subspace Clustering. 85:1-85:21 - Kexing Peng, Shihao Zhu, Tinghuai Ma:
STPE-MARL: Spatio-Temporal Multi-Agent Population Evolution Reinforcement Learning. 86:1-86:24 - Han Peng, Wengen Li, Chang Jin, Yichao Zhang, Jihong Guan, Hanchen Yang, Shuigeng Zhou:
Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction. 87:1-87:23 - Pham Minh Thu Do, Jie Lu, Qian Zhang, Guangquan Zhang:
A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems. 88:1-88:25 - Fouad Trad, Ali Chehab:
Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models versus Fine-Tuned Vision Transformers in Image-Based Security Applications. 89:1-89:22 - Zhen Xiao, Xueliang Liu, Jinlin Guo, Jun He, Richang Hong, Meng Wang:
Talking-DiSSM: Enhancing Temporal Consistency in Talking Face Video Generation with Bidirectional SSMs. 90:1-90:18 - Baofeng Zhu, Wanjun Cheng, Xia Zhang, Jiren Liu:
Integrated Hybrid Transformer and Multi-Receptive Feature Extraction Mechanism for Electrocardiogram Denoising Using Score-Based Diffusion Model. 91:1-91:24 - Shichao Liang, Wen Wen, Yali Feng, Ruichu Cai, Zhifeng Hao:
Modeling Multi-Seasonal Multi-Behavior Dependency for Temporal Recommendation. 92:1-92:23 - Alex Martinez, Federico Cinus, Francesco Bonchi, Jordi Vitrià:
Optimizing Reachability in Graph-Based Recommender Systems. 93:1-93:23 - Roey Bokobza, Yisroel Mirsky:
Counter-Samples: A Stateless Strategy to Neutralize Black-Box Adversarial Attacks. 94:1-94:23 - Pablo Sánchez, Alejandro Bellogín:
Smart Imputation, Better Recommendations: Improving Traditional Point-of-Interest Recommendation through Data Augmentation. 95:1-95:35
- Yan Kang, Tao Fan, Hanlin Gu, Xiaojin Zhang, Lixin Fan, Qiang Yang:
Grounding Foundation Models through Federated Transfer Learning: A General Framework. 96:1-96:54 - Kebing Jin, Hankz Hankui Zhuo:
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge. 97:1-97:37
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-10-22 02:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
