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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
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