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ACM 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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