ACM Transactions on Intelligent Systems and Technology (TIST) (2024)

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2024 Volume 15 Issue 1

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Out-of-distribution Detection in Time-series Domain: A Novel Seasonal Ratio Scoring Approach.
Taha Belkhouja|Yan Yan|Janardhan Rao Doppa
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Interpretable Imitation Learning with Symbolic Rewards.
Nicolas Bougie|Takashi Onishi|Yoshimasa Tsuruoka
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Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics.
Shengyu Chen|Tianshu Bao|Peyman Givi|Can Zheng|Xiaowei Jia
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One-step Multi-view Clustering with Consensus Graph and Data Representation Convolution.
Fadi Dornaika
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Inferring Real Mobility in Presence of Fake Check-ins Data.
Qiang Gao|Hongzhu Fu|Kunpeng Zhang|Goce Trajcevski|Xu Teng|Fan Zhou
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A Survey on Graph Representation Learning Methods.
Shima Khoshraftar|Aijun An
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Explicit State Representation Guided Video-based Pedestrian Attribute Recognition.
Weiqing Lu|Hai-Miao Hu|Jinzuo Yu|Shifeng Zhang|Hanzi Wang
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Second-order Confidence Network for Early Classification of Time Series.
Junwei Lv|Yuqi Chu|Jun Hu|Pei-Pei Li|Xuegang Hu
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Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques.
Aqsa Ashraf Makhdomi|Iqra Altaf Gillani
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Exploring Structure Incentive Domain Adversarial Learning for Generalizable Sleep Stage Classification.
Shuo Ma|Yingwei Zhang|Yiqiang Chen|Tao Xie|Shuchao Song|Ziyu Jia
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Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining.
Thanh Toan Nguyen|Thanh Tam Nguyen|Thanh Hung Nguyen|Hongzhi Yin|Thanh Thi Nguyen|Jun Hyung Jo|Quoc Viet Hung Nguyen
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Quantifying Levels of Influence and Causal Responsibility in Dynamic Decision Making Events.
Yossef Saad|Joachim Meyer
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Enabling Graph Neural Networks for Semi-Supervised Risk Prediction in Online Credit Loan Services.
Hao Tang|Cheng Wang|Jianguo Zheng|Changjun Jiang
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Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks.
Fernando Terroso-Saenz|Juan Morales-García|Andrés Muñoz
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E2Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery.
Yunchao Wang|Guodao Sun|Zihao Zhu|Tong Li|Ling Chen|Ronghua Liang
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Hierarchical Pruning of Deep Ensembles with Focal Diversity.
Yanzhao Wu|Ka Ho Chow|Wenqi Wei|Ling Liu
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Human Pose Transfer with Augmented Disentangled Feature Consistency.
Kun Wu|Chengxiang Yin|Zhengping Che|Bo Jiang|Jian Tang|Zheng Guan|Gangyi Ding
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Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring.
Wenyuan Yang|Shuo Shao|Yue Yang|Xiyao Liu|Ximeng Liu|Zhihua Xia|Gerald Schaefer|Hui Fang
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Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing.
Yingyan Zeng|Xiaoyu Chen|Ran Jin

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2024 Volume 15 Issue 2

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Temporal Implicit Multimodal Networks for Investment and Risk Management.
Gary Ang|Ee-Peng Lim
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Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning.
Chiao-Ting Chen|Chi Lee|Szu-Hao Huang|Wen-Chih Peng
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T-Distributed Stochastic Neighbor Embedding for Co-Representation Learning.
Wei Chen|Hongjun Wang|Yinghui Zhang|Ping Deng|Zhipeng Luo|Tianrui Li
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RANGO: A Novel Deep Learning Approach to Detect Drones Disguising from Video Surveillance Systems.
Jin Han|Yun-Feng Ren|Alessandro Brighente|Mauro Conti
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SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems.
Mai Hao|Ming Cai|Minghui Fang|Linlin You
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VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory.
Fenyu Jiang|Huandong Wang|Yong Li
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Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning.
Simi Job|Xiaohui Tao|Lin Li|Haoran Xie|Taotao Cai|Jianming Yong|Qing Li
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TS-Fastformer: Fast Transformer for Time-series Forecasting.
Sangwon Lee|Junho Hong|Ling Liu|Wonik Choi
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Explainable Product Classification for Customs.
Eunji Lee|Sihyeon Kim|Sundong Kim|Soyeon Jung|Heeja Kim|Meeyoung Cha
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Evolving Knowledge Graph Representation Learning with Multiple Attention Strategies for Citation Recommendation System.
Jhih-Chen Liu|Chiao-Ting Chen|Chi Lee|Szu-Hao Huang
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EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks.
Ana Neacsu|Jean-Christophe Pesquet|Corneliu Burileanu
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Fairness-Driven Private Collaborative Machine Learning.
Dana Pessach|Tamir Tassa|Erez Shmueli
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Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels.
Vasileios Tsouvalas|Aaqib Saeed|Tanir Ozcelebi|Nirvana Meratnia
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Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation.
Zhiyuan Wu|Sheng Sun|Yuwei Wang|Min Liu|Quyang Pan|Junbo Zhang|Zeju Li|Qingxiang Liu
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Strengthening Cooperative Consensus in Multi-Robot Confrontation.
Meng Xu|Xinhong Chen|Yechao She|Yang Jin|Guanyi Zhao|Jianping Wang
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Generating Daily Activities with Need Dynamics.
Yuan Yuan|Jingtao Ding|Huandong Wang|Depeng Jin
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Demand-driven Urban Facility Visit Prediction.
Yunke Zhang|Tong Li|Yuan Yuan|Fengli Xu|Fan Yang|Funing Sun|Yong Li
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Explainability for Large Language Models: A Survey.
Haiyan Zhao|Hanjie Chen|Fan Yang|Ninghao Liu|Huiqi Deng|Hengyi Cai|Shuaiqiang Wang|Dawei Yin|Mengnan Du
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Reinforcement Learning for Solving Multiple Vehicle Routing Problem with Time Window.
Zefang Zong|Tong Xia|Meng Zheng|Yong Li

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2024 Volume 15 Issue 3

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FedCMD: A Federated Cross-modal Knowledge Distillation for Drivers' Emotion Recognition.
Saira Bano|Nicola Tonellotto|Pietro Cassarà|Alberto Gotta
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A Survey on Evaluation of Large Language Models.
Yupeng Chang|Xu Wang|Jindong Wang|Yuan Wu|Linyi Yang|Kaijie Zhu|Hao Chen|Xiaoyuan Yi|Cunxiang Wang|Yidong Wang|Wei Ye|Yue Zhang|Yi Chang|Philip S. Yu|Qiang Yang|Xing Xie
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HydraGAN: A Cooperative Agent Model for Multi-Objective Data Generation.
Chance N. DeSmet|Diane J. Cook
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MHGCN+: Multiplex Heterogeneous Graph Convolutional Network.
Chaofan Fu|Pengyang Yu|Yanwei Yu|Chao Huang|Zhongying Zhao|Junyu Dong
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MGRR-Net: Multi-level Graph Relational Reasoning Network for Facial Action Unit Detection.
Xuri Ge|Joemon M. Jose|Songpei Xu|Xiao Liu|Hu Han
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CACTUS: A Comprehensive Abstraction and Classification Tool for Uncovering Structures.
Luca Gherardini|Varun Ravi Varma|Karol Capala|Roger F. Woods|José L. R. Sousa
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Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows.
Vinayak Gupta|Srikanta Bedathur
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Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements.
Weidong He|Zhi Li|Hao Wang|Tong Xu|Zhefeng Wang|Baoxing Huai|Nicholas Jing Yuan|Enhong Chen
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Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks.
Bum Jun Kim|Hyeyeon Choi|Hyeonah Jang|Sang Woo Kim
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Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning.
Cody Lewis|Vijay Varadharajan|Nasimul Noman|Udaya Kiran Tupakula
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Learning Cross-modality Interaction for Robust Depth Perception of Autonomous Driving.
Yunji Liang|Nengzhen Chen|Zhiwen Yu|Lei Tang|Hongkai Yu|Bin Guo|Daniel Dajun Zeng
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Perceiving Actions via Temporal Video Frame Pairs.
Rongchang Li|Tianyang Xu|Xiaojun Wu|Zhongwei Shen|Josef Kittler
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Deep Learning in Single-cell Analysis.
Dylan Molho|Jiayuan Ding|Wenzhuo Tang|Zhaoheng Li|Hongzhi Wen|Yixin Wang|Julian Venegas|Wei Jin|Renming Liu|Runze Su|Patrick Danaher|Robert Yang|Yu Leo Lei|Yuying Xie|Jiliang Tang
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Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance.
S. M. Bhagya P. Samarakoon|M. A. Viraj J. Muthugala|Mohan Rajesh Elara
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Analysing Utterances in LLM-Based User Simulation for Conversational Search.
Ivan Sekulic|Mohammad Aliannejadi|Fabio Crestani
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Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation.
Davor Vukadin|Petar Afric|Marin Silic|Goran Delac
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Score-based Graph Learning for Urban Flow Prediction.
Pengyu Wang|Xucheng Luo|Wenxin Tai|Kunpeng Zhang|Goce Trajcevski|Fan Zhou
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Bayesian Strategy Networks Based Soft Actor-Critic Learning.
Qin Yang|Ramviyas Parasuraman
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Deconfounded Cross-modal Matching for Content-based Micro-video Background Music Recommendation.
Jing Yi|Zhenzhong Chen
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Empowering Predictive Modeling by GAN-based Causal Information Learning.
Jinwei Zeng|Guozhen Zhang|Jian Yuan|Yong Li|Depeng Jin
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A Game-theoretic Framework for Privacy-preserving Federated Learning.
Xiaojin Zhang|Lixin Fan|Siwei Wang|Wenjie Li|Kai Chen|Qiang Yang
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A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning.
Xiaojin Zhang|Yan Kang|Lixin Fan|Kai Chen|Qiang Yang
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Self-supervised Bipartite Graph Representation Learning: A Dirichlet Max-margin Matrix Factorization Approach.
Shenghai Zhong|Shu Guo|Jing Liu|Hongren Huang|Lihong Wang|Jianxin Li|Chen Li|Yiming Hei
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Quintuple-based Representation Learning for Bipartite Heterogeneous Networks.
Cangqi Zhou|Hui Chen|Jing Zhang|Qianmu Li|Dianming Hu

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2024 Volume 15 Issue 4

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Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems.
Yongsu Ahn|Yu-Ru Lin
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Explainable finite mixture of mixtures of bounded asymmetric generalized Gaussian and Uniform distributions learning for energy demand management.
Hussein Al-Bazzaz|Muhammad Azam|Manar Amayri|Nizar Bouguila
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Responsible Recommendation Services with Blockchain Empowered Asynchronous Federated Learning.
Waqar Ali|Rajesh Kumar|Xiangmin Zhou|Jie Shao
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Robust Structure-Aware Graph-based Semi-Supervised Learning: Batch and Recursive Processing.
Xu Chen
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Balanced Quality Score: Measuring Popularity Debiasing in Recommendation.
Erica Coppolillo|Marco Minici|Ettore Ritacco|Luciano Caroprese|Francesco Sergio Pisani|Giuseppe Manco
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Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach.
Paula Gómez Duran|Pere Gilabert|Santi Seguí|Jordi Vitrià
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Knowledge Graph Enhanced Contextualized Attention-Based Network for Responsible User-Specific Recommendation.
Ehsan Elahi|Sajid Anwar|Babar Shah|Zahid Halim|Abrar Ullah|Imad Rida|Muhammad Waqas
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A Novel Blockchain-based Responsible Recommendation System for Service Process Creation and Recommendation.
Tieliang Gao|Li Duan|Lufeng Feng|Wei Ni|Quan Z. Sheng
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Counterfactual Graph Convolutional Learning for Personalized Recommendation.
Meng Jian|Yulong Bai|Xusong Fu|Jingjing Guo|Ge Shi|Lifang Wu
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FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources.
Nan Li|Bo Kang|Jefrey Lijffijt|Tijl De Bie
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Decentralized Federated Recommendation with Privacy-aware Structured Client-level Graph.
Zhitao Li|Zhaohao Lin|Feng Liang|Weike Pan|Qiang Yang|Zhong Ming
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Boosting Healthiness Exposure in Category-Constrained Meal Recommendation Using Nutritional Standards.
Ming Li|Lin Li|Xiaohui Tao|Zhongwei Xie|Qing Xie|Jingling Yuan
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Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling.
Yuwen Liu|Xiaokang Zhou|Huaizhen Kou|Yawu Zhao|Xiaolong Xu|Xuyun Zhang|Lianyong Qi
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AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation.
Kezhi Lu|Qian Zhang|Danny Hughes|Guangquan Zhang|Jie Lu
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Personalized Fashion Recommendations for Diverse Body Shapes with Contrastive Multimodal Cross-Attention Network.
Jianghong Ma|Huiyue Sun|Dezhao Yang|Haijun Zhang
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Federated Momentum Contrastive Clustering.
Runxuan Miao|Erdem Koyuncu
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Incremental Data Drifting: Evaluation Metrics, Data Generation, and Approach Comparison.
Yu-Tung Pai|Nien-En Sun|Cheng-Te Li|Shou-de Lin
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Discovering Expert-Level Air Combat Knowledge via Deep Excitatory-Inhibitory Factorized Reinforcement Learning.
Haiyin Piao|Shengqi Yang|Hechang Chen|Junnan Li|Jin Yu|Xuanqi Peng|Xin Yang|Zhen Yang|Zhixiao Sun|Yi Chang
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Explicit Knowledge Graph Reasoning for Conversational Recommendation.
Xuhui Ren|Tong Chen|Quoc Viet Hung Nguyen|Lizhen Cui|Zi Huang|Hongzhi Yin
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An Explore-Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series.
Lo Pang-Yun Ting|Rong Chao|Chai-Shi Chang|Kun-Ta Chuang
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Trustworthy Recommender Systems.
Shoujin Wang|Xiuzhen Zhang|Yan Wang|Francesco Ricci
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Special Issue on Responsible Recommender Systems Part 1.
Lina Yao|Julian J. McAuley|Xianzhi Wang|Dietmar Jannach
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MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games.
Dongjin Yu|Xingliang Wang|Yu Xiong|Xudong Shen|Runze Wu|Dongjing Wang|Zhene Zou|Guandong Xu
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CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension.
Zhuo Zhao|Guangyou Zhou|Zhiwen Xie|Lingfei Wu|Jimmy Xiangji Huang
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Deep Causal Reasoning for Recommendations.
Yaochen Zhu|Jing Yi|Jiayi Xie|Zhenzhong Chen

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2024 Volume 15 Issue 5

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M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems.
Saleh Baghersalimi|Alireza Amirshahi|Farnaz Forooghifar|Tomás Teijeiro|Amir Aminifar|David Atienza
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Model-Agnostic Adaptive Testing for Intelligent Education Systems via Meta-learned Gradient Embeddings.
Haoyang Bi|Qi Liu|Han Wu|Weidong He|Zhenya Huang|Yu Yin|Haiping Ma|Yu Su|Shijin Wang|Enhong Chen
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Hybrid Prompt Learning for Generating Justifications of Security Risks in Automation Rules.
Bernardo Breve|Gaetano Cimino|Vincenzo Deufemia
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Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning.
Miaomiao Cai|Min Hou|Lei Chen|Le Wu|Haoyue Bai|Yong Li|Meng Wang
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WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories.
Te-Yu Chi|Jyh-Shing Roger Jang
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Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content.
Monika Choudhary|Satyendra Singh Chouhan|Santosh Singh Rathore
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Teacher-Student Framework for Polyphonic Semi-supervised Sound Event Detection: Survey and Empirical Analysis.
Zhor Diffallah|Hadjer Ykhlef|Hafida Bouarfa
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A Bibliometric Review of Large Language Models Research from 2017 to 2023.
Lizhou Fan|Lingyao Li|Zihui Ma|Sanggyu Lee|Huizi Yu|Libby Hemphill
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DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT.
Shucun Fu|Fang Dong|Dian Shen|Runze Chen|Jiangshan Hao
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Addressing Data Challenges to Drive the Transformation of Smart Cities.
Ekaterina Gilman|Francesca Bugiotti|Ahmed Khalid|Hassan Mehmood|Panos Kostakos|Lauri Tuovinen|Johanna Ylipulli|Xiang Su|Denzil Ferreira
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Analyzing Robustness of Automatic Scientific Claim Verification Tools against Adversarial Rephrasing Attacks.
Janet Layne|Qudrat E. Alahy Ratul|Edoardo Serra|Sushil Jajodia
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Ranking the Transferability of Adversarial Examples.
Moshe Levy|Guy Amit|Yuval Elovici|Yisroel Mirsky
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PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training.
Sichun Luo|Yuanzhang Xiao|Xinyi Zhang|Yang Liu|Wenbo Ding|Linqi Song
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Privacy-Preserving and Diversity-Aware Trust-based Team Formation in Online Social Networks.
Yash Mahajan|Jin-Hee Cho|Ing-Ray Chen
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Fair and Efficient Ridesharing: A Dynamic Programming-based Relocation Approach.
Aqsa Ashraf Makhdomi|Iqra Altaf Gillani
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Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks.
Moreno La Quatra|Giuseppe Gallipoli|Luca Cagliero
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Libby-Novick Beta-Liouville Distribution for Enhanced Anomaly Detection in Proportional Data.
Oussama Sghaier|Manar Amayri|Nizar Bouguila
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Neural Methods for Data-to-text Generation.
Mandar Sharma|Ajay Kumar Gogineni|Naren Ramakrishnan
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Physics-Based Abnormal Trajectory Gap Detection.
Arun Sharma|Subhankar Ghosh|Shashi Shekhar
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Online Spatial-Temporal EV Charging Scheduling with Incentive Promotion.
Lo Pang-Yun Ting|Huan-Yang Wang|Jhe-Yun Jhang|Kun-Ta Chuang
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DNSRF: Deep Network-based Semi-NMF Representation Framework.
Dexian Wang|Tianrui Li|Ping Deng|Zhipeng Luo|Pengfei Zhang|Keyu Liu|Wei Huang
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DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution.
Xuansheng Wu|Hanqin Wan|Qiaoyu Tan|Wenlin Yao|Ninghao Liu
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Fine-grained Courier Delivery Behavior Recovery with a Digital Twin Based Iterative Calibration Framework.
Fudan Yu|Guozhen Zhang|Haotian Wang|Depeng Jin|Yong Li
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MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning.
Yan Zhuang|Junyan Zhang|Ruogu Lu|Kunlun He|Xiuxing Li

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2024 Volume 15 Issue 6

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Quantum Informative Analysis in Smart Power Distribution.
Tariq Ahamed Ahanger|Munish Bhatia|Abdulaziz Aldaej
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Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers.
Meriem Arbaoui|Mohamed-el-Amine Brahmia|Abdellatif Rahmoun|Mourad Zghal
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Few Images, Many Insights: Illicit Content Detection Using a Limited Number of Images.
Giuseppe Cascavilla|Gemma Catolino|Mauro Conti|Dimos Mellios|Damian A. Tamburri
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Surveying More Than Two Decades of Music Information Retrieval Research on Playlists.
Giovanni Gabbolini|Derek G. Bridge
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KGDA: A Knowledge Graph Driven Decomposition Approach for Cellular Traffic Prediction.
Jiahui Gong|Tong Li|Huandong Wang|Yu Liu|Xing Wang|Zhendong Wang|Chao Deng|Junlan Feng|Depeng Jin|Yong Li
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Toward Ubiquitous Interaction-Attentive and Extreme-Aware Crowd Activity Level Prediction.
Huiqun Huang|Xi Yang|Suining He|Mahan Tabatabaie
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An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes.
Jiayu Hu|Senlin Shu|Beibei Li|Tao Xiang|Zhongshi He
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OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments.
Hanan Hussain|P. S. Tamizharasan|Praveen Kumar Yadav
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Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework.
Yan Kang|Hanlin Gu|Xingxing Tang|Yuanqin He|Yuzhu Zhang|Jinnan He|Yuxing Han|Lixin Fan|Kai Chen|Qiang Yang
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Adversarial Missingness Attacks on Causal Structure Learning.
Deniz Koyuncu|Alex Gittens|Bülent Yener|Moti Yung
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User Opinion-Focused Abstractive Summarization Using Explainable Artificial Intelligence.
Hyunho Lee|Younghoon Lee
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Question-Attentive Review-Level Explanation for Neural Rating Regression.
Trung-Hoang Le|Hady W. Lauw
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Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence.
Yuanfeng Lian|Shoushuang Pei|Mengqi Chen|Jing Hua
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Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data.
Ji Liu|Juncheng Jia|Hong Zhang|Yuhui Yun|Leye Wang|Yang Zhou|Huaiyu Dai|Dejing Dou
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Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot.
Marcos Maroto-Gómez|Matthew Lewis|Álvaro Castro González|María Malfaz|Miguel Ángel Salichs|Lola Cañamero
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Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims.
Kevin Meng|Damian Jimenez|Jacob Daniel Devasier|Sai Sandeep Naraparaju|Fatma Arslan|Daniel Obembe|Chengkai Li
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FastRx: Exploring Fastformer and Memory-Augmented Graph Neural Networks for Personalized Medication Recommendations.
Nguyen-Minh-Thao Phan|Ling Chen|Chun-Hung Chen|Wen-Chih Peng
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A Unified Framework for Analyzing Textual Context and Intent in Social Media.
V. Jothi Prakash|S. Arul Antran Vijay
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Efficiently Gluing Pre-Trained Language and Vision Models for Image Captioning.
Peipei Song|Yuanen Zhou|Xun Yang|Daqing Liu|Zhenzhen Hu|Depeng Wang|Meng Wang
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Proposal Semantic Relationship Graph Network for Temporal Action Detection.
Shaowen Su|Yan Zhang|Minggang Gan
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Intermediary-Generated Bridge Network for RGB-D Cross-Modal Re-Identification.
Jingjing Wu|Richang Hong|Shengeng Tang
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RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction.
Jinhui Yi|Huan Yan|Haotian Wang|Jian Yuan|Yong Li
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A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges.
Yifei Zhang|Dun Zeng|Jinglong Luo|Xinyu Fu|Guanzhong Chen|Zenglin Xu|Irwin King
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Multiple-Instance Learning from Pairwise Comparison Bags.
Shengjie Zhou|Senlin Shu|Haobo Wang|Hongxin Wei|Tao Xiang|Beibei Li