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ORCIDACM Transactions on Intelligent Systems and Technology, Volume 15
Volume 15, Number 1, February 2024
- Aqsa Ashraf Makhdomi
, Iqra Altaf Gillani:
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques. 1:1-1:57
- Weiqing Lu, Hai-Miao Hu, Jinzuo Yu, Shifeng Zhang, Hanzi Wang:
Explicit State Representation Guided Video-based Pedestrian Attribute Recognition. 2:1-2:24 - Kun Wu, Chengxiang Yin, Zhengping Che, Bo Jiang, Jian Tang, Zheng Guan, Gangyi Ding:
Human Pose Transfer with Augmented Disentangled Feature Consistency. 3:1-3:22 - Nicolas Bougie, Takashi Onishi, Yoshimasa Tsuruoka:
Interpretable Imitation Learning with Symbolic Rewards. 4:1-4:34 - Wenyuan Yang, Shuo Shao, Yue Yang, Xiyao Liu, Ximeng Liu, Zhihua Xia, Gerald Schaefer, Hui Fang:
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring. 5:1-5:25 - Fadi Dornaika:
One-step Multi-view Clustering with Consensus Graph and Data Representation Convolution. 6:1-6:24 - Yingyan Zeng, Xiaoyu Chen, Ran Jin:
Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing. 7:1-7:26 - Taha Belkhouja, Yan Yan, Janardhan Rao Doppa:
Out-of-distribution Detection in Time-series Domain: A Novel Seasonal Ratio Scoring Approach. 8:1-8:24 - Thanh Toan Nguyen, Thanh Tam Nguyen, Thanh Hung Nguyen, Hongzhi Yin, Thanh Thi Nguyen, Jun H. Jo, Quoc Viet Hung Nguyen:
Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining. 9:1-9:26 - Junwei Lv, Yuqi Chu, Jun Hu, Pei-Pei Li, Xuegang Hu:
Second-order Confidence Network for Early Classification of Time Series. 10:1-10:28 - Yossef Saad, Joachim Meyer:
Quantifying Levels of Influence and Causal Responsibility in Dynamic Decision Making Events. 11:1-11:22 - Qiang Gao, Hongzhu Fu, Kunpeng Zhang, Goce Trajcevski, Xu Teng, Fan Zhou:
Inferring Real Mobility in Presence of Fake Check-ins Data. 12:1-12:25 - Hao Tang, Cheng Wang, Jianguo Zheng, Changjun Jiang:
Enabling Graph Neural Networks for Semi-Supervised Risk Prediction in Online Credit Loan Services. 13:1-13:24 - Shuo Ma, Yingwei Zhang, Yiqiang Chen, Tao Xie, Shuchao Song, Ziyu Jia:
Exploring Structure Incentive Domain Adversarial Learning for Generalizable Sleep Stage Classification. 14:1-14:30 - Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Hierarchical Pruning of Deep Ensembles with Focal Diversity. 15:1-15:24 - Yunchao Wang, Guodao Sun, Zihao Zhu, Tong Li, Ling Chen, Ronghua Liang:
E2Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery. 16:1-16:26 - Shengyu Chen, Tianshu Bao, Peyman Givi, Can Zheng, Xiaowei Jia:
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics. 17:1-17:18 - Fernando Terroso-Saenz, Juan Morales-García, Andrés Muñoz:
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks. 18:1-18:19
- Shima Khoshraftar, Aijun An:
A Survey on Graph Representation Learning Methods. 19:1-19:55
Volume 15, Number 2, April 2024
- Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du:
Explainability for Large Language Models: A Survey. 20:1-20:38
- Yunke Zhang, Tong Li, Yuan Yuan, Fengli Xu, Fan Yang, Funing Sun, Yong Li:
Demand-driven Urban Facility Visit Prediction. 21:1-21:24 - Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi, Nirvana Meratnia:
Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels. 22:1-22:26 - Wei Chen, Hongjun Wang, Yinghui Zhang, Ping Deng, Zhipeng Luo, Tianrui Li:
T-Distributed Stochastic Neighbor Embedding for Co-Representation Learning. 23:1-23:18 - Sangwon Lee, Junho Hong, Ling Liu, Wonik Choi:
TS-Fastformer: Fast Transformer for Time-series Forecasting. 24:1-24:20 - Eunji Lee, Sihyeon Kim, Sundong Kim, Soyeon Jung, Heeja Kim, Meeyoung Cha:
Explainable Product Classification for Customs. 25:1-25:24 - Ana Neacsu, Jean-Christophe Pesquet, Corneliu Burileanu:
EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks. 26:1-26:25 - Dana Pessach, Tamir Tassa, Erez Shmueli:
Fairness-Driven Private Collaborative Machine Learning. 27:1-27:30 - Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Quyang Pan, Junbo Zhang, Zeju Li, Qingxiang Liu:
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation. 28:1-28:34 - Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin:
Generating Daily Activities with Need Dynamics. 29:1-29:28 - Meng Xu, Xinhong Chen, Yechao She, Yang Jin, Guanyi Zhao, Jianping Wang:
Strengthening Cooperative Consensus in Multi-Robot Confrontation. 30:1-30:27 - Jin Han, Yun-Feng Ren, Alessandro Brighente, Mauro Conti:
RANGO: A Novel Deep Learning Approach to Detect Drones Disguising from Video Surveillance Systems. 31:1-31:21 - Zefang Zong, Tong Xia, Meng Zheng, Yong Li:
Reinforcement Learning for Solving Multiple Vehicle Routing Problem with Time Window. 32:1-32:19 - Jhih-Chen Liu, Chiao-Ting Chen, Chi Lee, Szu-Hao Huang:
Evolving Knowledge Graph Representation Learning with Multiple Attention Strategies for Citation Recommendation System. 33:1-33:26 - Fenyu Jiang, Huandong Wang, Yong Li:
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory. 34:1-34:25 - Chiao-Ting Chen, Chi Lee, Szu-Hao Huang, Wen-Chih Peng:
Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning. 35:1-35:29 - Simi Job, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Jianming Yong, Qing Li:
Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning. 36:1-36:22 - Mai Hao, Ming Cai, Minghui Fang, Linlin You:
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems. 37:1-37:20 - Gary Ang, Ee-Peng Lim:
Temporal Implicit Multimodal Networks for Investment and Risk Management. 38:1-38:25
Volume 15, Number 3, June 2024
- 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:
A Survey on Evaluation of Large Language Models. 39:1-39:45 - 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:
Deep Learning in Single-cell Analysis. 40:1-40:62
- Xuri Ge, Joemon M. Jose, Songpei Xu, Xiao Liu, Hu Han:
MGRR-Net: Multi-level Graph Relational Reasoning Network for Facial Action Unit Detection. 41:1-41:20 - Qin Yang, Ramviyas Parasuraman:
Bayesian Strategy Networks Based Soft Actor-Critic Learning. 42:1-42:24 - S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, Mohan Rajesh Elara:
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance. 43:1-43:17 - Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Sang Woo Kim:
Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks. 44:1-44:20 - Weidong He, Zhi Li, Hao Wang, Tong Xu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen:
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements. 45:1-45:25 - Luca Gherardini, Varun Ravi Varma, Karol Capala, Roger Woods, José L. R. Sousa:
CACTUS: A Comprehensive Abstraction and Classification Tool for Uncovering Structures. 46:1-46:23 - Davor Vukadin, Petar Afric, Marin Silic, Goran Delac:
Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation. 47:1-47:30 - Yunji Liang, Nengzhen Chen, Zhiwen Yu, Lei Tang, Hongkai Yu, Bin Guo, Daniel Dajun Zeng:
Learning Cross-modality Interaction for Robust Depth Perception of Autonomous Driving. 48:1-48:26 - Vinayak Gupta, Srikanta Bedathur:
Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows. 49:1-49:27 - Jing Yi, Zhenzhong Chen:
Deconfounded Cross-modal Matching for Content-based Micro-video Background Music Recommendation. 50:1-50:25 - Chaofan Fu, Pengyang Yu, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong:
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network. 51:1-51:25 - Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang:
A Game-theoretic Framework for Privacy-preserving Federated Learning. 52:1-52:35 - Shenghai Zhong, Shu Guo, Jing Liu, Hongren Huang, Lihong Wang, Jianxin Li, Chen Li, Yiming Hei:
Self-supervised Bipartite Graph Representation Learning: A Dirichlet Max-margin Matrix Factorization Approach. 53:1-53:24 - Jinwei Zeng, Guozhen Zhang, Jian Yuan, Yong Li, Depeng Jin:
Empowering Predictive Modeling by GAN-based Causal Information Learning. 54:1-54:19 - Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang:
A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. 55:1-55:36 - Cody Lewis, Vijay Varadharajan, Nasimul Noman, Udaya Kiran Tupakula:
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning. 56:1-56:30 - Saira Bano, Nicola Tonellotto, Pietro Cassarà, Alberto Gotta:
FedCMD: A Federated Cross-modal Knowledge Distillation for Drivers' Emotion Recognition. 57:1-57:27 - Rongchang Li, Tianyang Xu, Xiaojun Wu, Zhongwei Shen, Josef Kittler:
Perceiving Actions via Temporal Video Frame Pairs. 58:1-58:20 - Pengyu Wang, Xucheng Luo, Wenxin Tai, Kunpeng Zhang, Goce Trajcevsky, Fan Zhou:
Score-based Graph Learning for Urban Flow Prediction. 59:1-59:25 - Chance N. DeSmet, Diane J. Cook:
HydraGAN: A Cooperative Agent Model for Multi-Objective Data Generation. 60:1-60:21
- Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu:
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks. 61:1-61:19 - Ivan Sekulic, Mohammad Aliannejadi, Fabio Crestani:
Analysing Utterances in LLM-Based User Simulation for Conversational Search. 62:1-62:22
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