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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 F. 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 Trajcevski, 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
Volume 15, Number 4, August 2024
- Runxuan Miao, Erdem Koyuncu:
Federated Momentum Contrastive Clustering. 63:1-63:19 - Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Explainable finite mixture of mixtures of bounded asymmetric generalized Gaussian and Uniform distributions learning for energy demand management. 64:1-64:26 - Haiyin Piao, Shengqi Yang, Hechang Chen, Junnan Li, Jin Yu, Xuanqi Peng, Xin Yang, Zhen Yang, Zhixiao Sun, Yi Chang:
Discovering Expert-Level Air Combat Knowledge via Deep Excitatory-Inhibitory Factorized Reinforcement Learning. 65:1-65:28 - Xu Chen:
Robust Structure-Aware Graph-based Semi-Supervised Learning: Batch and Recursive Processing. 66:1-66:25 - Meng Jian, Yulong Bai, Xusong Fu, Jingjing Guo, Ge Shi, Lifang Wu:
Counterfactual Graph Convolutional Learning for Personalized Recommendation. 67:1-67:20 - Yaochen Zhu, Jing Yi, Jiayi Xie, Zhenzhong Chen:
Deep Causal Reasoning for Recommendations. 68:1-68:25 - Lo Pang-Yun Ting, Rong Chao, Chai-Shi Chang, Kun-Ta Chuang:
An Explore-Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series. 69:1-69:25 - Zhuo Zhao, Guangyou Zhou, Zhiwen Xie, Lingfei Wu, Jimmy Xiangji Huang:
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension. 70:1-70:24 - Yu-Tung Pai, Nien-En Sun, Cheng-Te Li, Shou-de Lin:
Incremental Data Drifting: Evaluation Metrics, Data Generation, and Approach Comparison. 71:1-71:26
- Lina Yao, Julian J. McAuley, Xianzhi Wang, Dietmar Jannach:
Special Issue on Responsible Recommender Systems Part 1. 72:1-72:3 - Yongsu Ahn, Yu-Ru Lin:
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems. 73:1-73:20 - Erica Coppolillo, Marco Minici, Ettore Ritacco, Luciano Caroprese, Francesco Sergio Pisani, Giuseppe Manco:
Balanced Quality Score: Measuring Popularity Debiasing in Recommendation. 74:1-74:27 - Paula Gómez Duran, Pere Gilabert, Santi Seguí, Jordi Vitrià:
Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach. 75:1-75:23 - Yuwen Liu, Xiaokang Zhou, Huaizhen Kou, Yawu Zhao, Xiaolong Xu, Xuyun Zhang, Lianyong Qi:
Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling. 76:1-76:17 - Zhitao Li, Zhaohao Lin, Feng Liang, Weike Pan, Qiang Yang, Zhong Ming:
Decentralized Federated Recommendation with Privacy-aware Structured Client-level Graph. 77:1-77:23 - Waqar Ali, Rajesh Kumar, Xiangmin Zhou, Jie Shao:
Responsible Recommendation Services with Blockchain Empowered Asynchronous Federated Learning. 78:1-78:24 - Tieliang Gao, Li Duan, Lufeng Feng, Wei Ni, Quan Z. Sheng:
A Novel Blockchain-based Responsible Recommendation System for Service Process Creation and Recommendation. 79:1-79:24 - Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources. 80:1-80:24 - Ming Li, Lin Li, Xiaohui Tao, Zhongwei Xie, Qing Xie, Jingling Yuan:
Boosting Healthiness Exposure in Category-Constrained Meal Recommendation Using Nutritional Standards. 81:1-81:28 - Jianghong Ma, Huiyue Sun, Dezhao Yang, Haijun Zhang:
Personalized Fashion Recommendations for Diverse Body Shapes with Contrastive Multimodal Cross-Attention Network. 82:1-82:21 - Ehsan Elahi, Sajid Anwar, Babar Shah, Zahid Halim, Abrar Ullah, Imad Rida, Muhammad Waqas:
Knowledge Graph Enhanced Contextualized Attention-Based Network for Responsible User-Specific Recommendation. 83:1-83:24 - Shoujin Wang, Xiuzhen Zhang, Yan Wang, Francesco Ricci:
Trustworthy Recommender Systems. 84:1-84:20 - Dongjin Yu, Xingliang Wang, Yu Xiong, Xudong Shen, Runze Wu, Dongjing Wang, Zhene Zou, Guandong Xu:
MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games. 85:1-85:23 - Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin:
Explicit Knowledge Graph Reasoning for Conversational Recommendation. 86:1-86:21 - Kezhi Lu, Qian Zhang, Danny Hughes, Guangquan Zhang, Jie Lu:
AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation. 87:1-87:26
Volume 15, Number 5, October 2024
- Ekaterina Gilman, Francesca Bugiotti, Ahmed Khalid, Hassan Mehmood, Panos Kostakos, Lauri Tuovinen, Johanna Ylipulli, Xiang Su, Denzil Ferreira:
Addressing Data Challenges to Drive the Transformation of Smart Cities. 88:1-88:65 - Mandar Sharma, Ajay Kumar Gogineni, Naren Ramakrishnan:
Neural Methods for Data-to-text Generation. 89:1-89:46 - Zhor Diffallah, Hadjer Ykhlef, Hafida Bouarfa:
Teacher-Student Framework for Polyphonic Semi-supervised Sound Event Detection: Survey and Empirical Analysis. 90:1-90:44 - Lizhou Fan, Lingyao Li, Zihui Ma, Sanggyu Lee, Huizi Yu, Libby Hemphill:
A Bibliometric Review of Large Language Models Research from 2017 to 2023. 91:1-91:25 - Monika Choudhary, Satyendra Singh Chouhan, Santosh Singh Rathore:
Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content. 92:1-92:33
- Janet Layne, Qudrat E. Alahy Ratul, Edoardo Serra, Sushil Jajodia:
Analyzing Robustness of Automatic Scientific Claim Verification Tools against Adversarial Rephrasing Attacks. 93:1-93:32 - Yash Mahajan, Jin-Hee Cho, Ing-Ray Chen:
Privacy-Preserving and Diversity-Aware Trust-based Team Formation in Online Social Networks. 94:1-94:32 - Haoyang Bi, Qi Liu, Han Wu, Weidong He, Zhenya Huang, Yu Yin, Haiping Ma, Yu Su, Shijin Wang, Enhong Chen:
Model-Agnostic Adaptive Testing for Intelligent Education Systems via Meta-learned Gradient Embeddings. 95:1-95:26 - Fudan Yu, Guozhen Zhang, Haotian Wang, Depeng Jin, Yong Li:
Fine-grained Courier Delivery Behavior Recovery with a Digital Twin Based Iterative Calibration Framework. 96:1-96:25 - Xuansheng Wu, Hanqin Wan, Qiaoyu Tan, Wenlin Yao, Ninghao Liu:
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution. 97:1-97:21 - Sichun Luo, Yuanzhang Xiao, Xinyi Zhang, Yang Liu, Wenbo Ding, Linqi Song:
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training. 98:1-98:24 - Dexian Wang, Tianrui Li, Ping Deng, Zhipeng Luo, Pengfei Zhang, Keyu Liu, Wei Huang:
DNSRF: Deep Network-based Semi-NMF Representation Framework. 99:1-99:20 - Moshe Levy, Guy Amit, Yuval Elovici, Yisroel Mirsky:
Ranking the Transferability of Adversarial Examples. 100:1-100:21 - Miaomiao Cai, Min Hou, Lei Chen, Le Wu, Haoyue Bai, Yong Li, Meng Wang:
Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning. 101:1-101:27 - Saleh Baghersalimi, Alireza Amirshahi, Farnaz Forooghifar, Tomás Teijeiro, Amir Aminifar, David Atienza:
M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems. 102:1-102:31 - Bernardo Breve, Gaetano Cimino, Vincenzo Deufemia:
Hybrid Prompt Learning for Generating Justifications of Security Risks in Automation Rules. 103:1-103:26 - Shucun Fu, Fang Dong, Dian Shen, Runze Chen, Jiangshan Hao:
DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT. 104:1-104:28 - Aqsa Ashraf Makhdomi, Iqra Altaf Gillani:
Fair and Efficient Ridesharing: A Dynamic Programming-based Relocation Approach. 105:1-105:30 - Arun Sharma, Subhankar Ghosh, Shashi Shekhar:
Physics-Based Abnormal Trajectory Gap Detection. 106:1-106:31 - Oussama Sghaier, Manar Amayri, Nizar Bouguila:
Libby-Novick Beta-Liouville Distribution for Enhanced Anomaly Detection in Proportional Data. 107:1-107:26 - Yan Zhuang, Junyan Zhang, Ruogu Lu, Kunlun He, Xiuxing Li:
MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning. 108:1-108:24 - Lo Pang-Yun Ting, Huan-Yang Wang, Jhe-Yun Jhang, Kun-Ta Chuang:
Online Spatial-Temporal EV Charging Scheduling with Incentive Promotion. 109:1-109:26 - Moreno La Quatra, Giuseppe Gallipoli, Luca Cagliero:
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks. 110:1-110:38 - Te-Yu Chi, Jyh-Shing Roger Jang:
WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories. 111:1-111:18
Volume 15, Number 6, December 2024
- Yifei Zhang, Dun Zeng, Jinglong Luo, Xinyu Fu, Guanzhong Chen, Zenglin Xu, Irwin King:
A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges. 112:1-112:47 - Meriem Arbaoui, Mohamed-el-Amine Brahmia, Abdellatif Rahmoun, Mourad Zghal:
Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers. 113:1-113:69 - Giovanni Gabbolini, Derek G. Bridge:
Surveying More Than Two Decades of Music Information Retrieval Research on Playlists. 114:1-114:68
- Peipei Song, Yuanen Zhou, Xun Yang, Daqing Liu, Zhenzhen Hu, Depeng Wang, Meng Wang:
Efficiently Gluing Pre-Trained Language and Vision Models for Image Captioning. 115:1-115:16 - Jingjing Wu, Richang Hong, Shengeng Tang:
Intermediary-Generated Bridge Network for RGB-D Cross-Modal Re-Identification. 116:1-116:25 - Huiqun Huang, Xi Yang, Suining He, Mahan Tabatabaie:
Toward Ubiquitous Interaction-Attentive and Extreme-Aware Crowd Activity Level Prediction. 117:1-117:26 - V. Jothi Prakash, S. Arul Antran Vijay:
A Unified Framework for Analyzing Textual Context and Intent in Social Media. 118:1-118:25 - Deniz Koyuncu, Alex Gittens, Bülent Yener, Moti Yung:
Adversarial Missingness Attacks on Causal Structure Learning. 119:1-119:60 - Kevin Meng, Damian Jimenez, Jacob Daniel Devasier, Sai Sandeep Naraparaju, Fatma Arslan, Daniel Obembe, Chengkai Li:
Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims. 120:1-120:25 - Yuanfeng Lian, Shoushuang Pei, Mengqi Chen, Jing Hua:
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence. 121:1-121:26 - Ji Liu, Juncheng Jia, Hong Zhang, Yuhui Yun, Leye Wang, Yang Zhou, Huaiyu Dai, Dejing Dou:
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data. 122:1-122:28 - Jiahui Gong, Tong Li, Huandong Wang, Yu Liu, Xing Wang, Zhendong Wang, Chao Deng, Junlan Feng, Depeng Jin, Yong Li:
KGDA: A Knowledge Graph Driven Decomposition Approach for Cellular Traffic Prediction. 123:1-123:22 - Jinhui Yi, Huan Yan, Haotian Wang, Jian Yuan, Yong Li:
RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction. 124:1-124:21 - Marcos Maroto-Gómez, Matthew Lewis, Álvaro Castro González, María Malfaz, Miguel Ángel Salichs, Lola Cañamero:
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot. 125:1-125:28 - Tariq Ahamed Ahanger, Munish Bhatia, Abdulaziz Aldaej:
Quantum Informative Analysis in Smart Power Distribution. 126:1-126:18 - Shengjie Zhou, Senlin Shu, Haobo Wang, Hongxin Wei, Tao Xiang, Beibei Li:
Multiple-Instance Learning from Pairwise Comparison Bags. 127:1-127:22 - Nguyen-Minh-Thao Phan, Ling Chen, Chun-Hung Chen, Wen-Chih Peng:
FastRx: Exploring Fastformer and Memory-Augmented Graph Neural Networks for Personalized Medication Recommendations. 128:1-128:21 - Hyunho Lee, Younghoon Lee:
User Opinion-Focused Abstractive Summarization Using Explainable Artificial Intelligence. 129:1-129:20 - Giuseppe Cascavilla, Gemma Catolino, Mauro Conti, Dimos Mellios, Damian A. Tamburri:
Few Images, Many Insights: Illicit Content Detection Using a Limited Number of Images. 130:1-130:26 - Jiayu Hu, Senlin Shu, Beibei Li, Tao Xiang, Zhongshi He:
An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes. 131:1-131:22 - Trung-Hoang Le, Hady W. Lauw:
Question-Attentive Review-Level Explanation for Neural Rating Regression. 132:1-132:25 - Hanan Hussain, P. S. Tamizharasan, Praveen Kumar Yadav:
OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments. 133:1-133:30 - Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang:
Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework. 134:1-134:33 - Shaowen Su, Yan Zhang, Minggang Gan:
Proposal Semantic Relationship Graph Network for Temporal Action Detection. 135:1-135:24
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