ICDM (Workshops)

Publications

2023

Evripides Christodoulou, Andreas Gregoriades
Applying Machine Learning in Personality-based Persuasion Marketing. ICDM (Workshops) (2023)
Shijie Li, Xiaowu Liu, Wenshuo Ma, Kan Yu, Yangyang Liu
Blockchain-based Reputation Management Scheme for the Internet of Vehicles. ICDM (Workshops) (2023)
Qian'ang Mao, Sheng Wan, Daning Hu, Jiaqi Yan, Jin Hu, Xuan Yang
Leveraging Federated Learning for Unsecured Loan Risk Assessment on Decentralized Finance Lending Platforms. ICDM (Workshops) (2023)
Chen Zhu, Hengshu Zhu
Exploiting Time-Aware Spectral Neural Networks for Employee Turnover Analysis: An Organizational Change Perspective. ICDM (Workshops) (2023)
Chengshan Yan, Shanshan Feng, Jian Cao, Yan Yao, Huaxiang Zhang
User Preference Learning based on Automatic Environment Classification for General Debiasing in Recommendation Systems. ICDM (Workshops) (2023)
Juntai Shi, Wei Su, Lei Liu, Shenglin Xu, Tianyuan Huang, Jiamin Liu, Wenli Yue, Shihua Li
A Deep Memory-Aware Attentive Model for Knowledge Tracing. ICDM (Workshops) (2023)
Haonan Ma, Can Wang, Yunwei Zhao, Luhua Wang, Xiulian Cao, Jinyin Chen, Han Han, Meichen Liu
An in-depth analysis of robustness and accuracy of recommendation systems. ICDM (Workshops) (2023)
Sandra Mitrovic, Fabio Frisone, Suryam Gupta, Chiara Lucifora, Dragana Carapic, Carlo Schillaci, Samuele Di Giovanni, Ayushi Singh
Annotating Panic in Social Media using Active Learning, Transformers and Domain Knowledge. ICDM (Workshops) (2023)
Jungeun Yoon, Aekyeung Moon, Seung Woo Son
Outlier Elimination and Reliability Assessment for Peak and Declining Time Series Datasets. ICDM (Workshops) (2023)
Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. ICDM (Workshops) (2023)
Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Mark Junjie Li, Qin Zhang, Philippe Fournier-Viger
Multi-modal Chinese Fake News Detection. ICDM (Workshops) (2023)
Tinghui Chen, Shuai Li
A hybrid-Lp-Norms-Oriented Robot Kinematic Calibration Model Optimized by a Novel Newton Interpolated Differential Evolution Algorithm. ICDM (Workshops) (2023)
Lijing Zhu, Qizhen Lan, Alvaro Velasquez, Houbing Song, Acharya Kamal, Qing Tian, Shuteng Niu
SKGHOI: Spatial-Semantic Knowledge Graph for Human-Object Interaction Detection. ICDM (Workshops) (2023)
Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin Verspoor
Deep Outdated Fact Detection in Knowledge Graphs. ICDM (Workshops) (2023)
Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. ICDM (Workshops) (2023)
Sylvain W. Combettes, Charles Truong, Laurent Oudre
An Interpretable Distance Measure for Multivariate Non-Stationary Physiological Signals. ICDM (Workshops) (2023)
Maryam Shahsavari, Omar Khadeer Hussain, Morteza Saberi, Pankaj Sharma
A lightweight and unsupervised approach for identifying risk events in news articles. ICDM (Workshops) (2023)
Autumn Teo, Zhaoxia Wang, Haibo Pen, Budhitama Subagdja, Seng-Beng Ho, Boon-Kiat Quek
Knowledge Graph enhanced Aspect-Based Sentiment Analysis Incorporating External Knowledge. ICDM (Workshops) (2023)
Heehyeon Kim, Jinhyeok Choi, Joyce Jiyoung Whang
Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection. ICDM (Workshops) (2023)
Hariram Veeramani, Surendrabikram Thapa, Usman Naseem
Temporally Dynamic Session-Keyword Aware Sequential Recommendation System. ICDM (Workshops) (2023)
Zhihui Wang, Yun Zhu, Xinyuan Mi
An Approach for Data Publishing with Sensitive Attribute Synthesis. ICDM (Workshops) (2023)
Xining Zhuji, Jiehua Wang, Weiping Ding, Weixiang Wu
Blockchain-Based System for Vaccine Traceability. ICDM (Workshops) (2023)
Thorsten Wittkopp, Alexander Acker, Odej Kao
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis. ICDM (Workshops) (2023)
Xinhua Wang, Houping Yue, Zizheng Wang, Liancheng Xu, Jinyu Zhang
Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation. ICDM (Workshops) (2023)
Xun Deng, Lun Hu, Zekun Jiang, Lu Liu, Peng-Wei Hu
A contactless automated dynamic monitoring method for organoid morphology on the time axis. ICDM (Workshops) (2023)
Karam Dawoud, Wojciech Samek, Peter Eisert, Sebastian Lapuschkin, Sebastian Bosse
Human-Centered Evaluation of XAI Methods. ICDM (Workshops) (2023)
Julita Bielaniewicz, Przemyslaw Kazienko
From Generalized Laughter to Personalized Chuckles: Unleashing the Power of Data Fusion in Subjective Humor Detection. ICDM (Workshops) (2023)
Andrew Starnes, Anton Dereventsov, Clayton G. Webster
Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks. ICDM (Workshops) (2023)
Fan Wu, Bowei Xi
Differentially Private Causal Inference Under Hierarchical Design. ICDM (Workshops) (2023)
Sai Dileep Koneru, Xin Wei, Jian Wu, Sarah Rajtmajer
Can machine learning algorithms predict publication outcomes? A case study of COVID-19 preprints. ICDM (Workshops) (2023)
Youcef Remil, Anes Bendimerad, Mathieu Chambard, Romain Mathonat, Marc Plantevit, Mehdi Kaytoue
Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets. ICDM (Workshops) (2023)
Xiao Zhang, Xiaolong Xu
FP-WDDQN: An improved deep reinforcement learning algorithm for adaptive traffic signal control. ICDM (Workshops) (2023)
Ghada El-Khawaga, Mervat Abu-Elkheir, Manfred Reichert
A Rule-based Evaluation Method of Local Explainers for Predictive Process Monitoring. ICDM (Workshops) (2023)
Mengxin Wang, Liming Fang, Kuiqi Chen
FedNAT: Byzantine-robust Federated Learning through Activation-based Attention Transfer. ICDM (Workshops) (2023)
Réda Alami, Mohammed Mahfoud, Mastane Achab
A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits. ICDM (Workshops) (2023)
Xiaomin Xiong, Yuqi Zhang, Lihua Gu, Yi Li, Bo Lin, Dajiang Lei, Guoyin Wang, Bo Xu
Pyramid Feature Iterative Fusion: A Cross-Scale Fusion Algorithm for Enhanced Analysis of H&E Images in HER2-Positive Breast Cancer. ICDM (Workshops) (2023)
IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023 ICDM (Workshops) (2023)
Qi Liu, Xiao Chen, Kun Niu, Wanru Zhang, Yiman Gao, Jin Wei
Intelligent Practical Teaching Platform based on Data Mining. ICDM (Workshops) (2023)
Doru Anastasiu Popescu, Doru Constantin, Nicolae Bold
Generating assessment tests using image-based items. ICDM (Workshops) (2023)
Jiaxing Shen, Yulin He, Yunfei Long, Jiaqi Wen, Yanwen Wang, Yu Yang
Birds of a Feather Purchase Together: Accurate Social Network Inference using Transaction Data. ICDM (Workshops) (2023)
Yi Hu, Hanchi Ren, Chen Hu, Jingjing Deng, Xianghua Xie
An Element-Wise Weights Aggregation Method for Federated Learning. ICDM (Workshops) (2023)
Hasan Kemik, Nusret Özates, Meysam Asgari-Chenaghlu, Yang Li, Erik Cambria
BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter. ICDM (Workshops) (2023)
S. M. F. Sani, Seyed Abbas Hosseini, Hamid R. Rabiee
Epsilon non-Greedy: A Bandit Approach for Unbiased Recommendation via Uniform Data. ICDM (Workshops) (2023)
Peishu Wu, Haipeng Xu, Meilin Liu, Han Li, Hongfu Zeng, Huihua Hu, Nianyin Zeng
A3C: A novel attention-based 3D-CNN model for accurately identifying clinical lung lesions. ICDM (Workshops) (2023)
Patrick Killeen, Iluju Kiringa, Tet Hin Yeap, Paula Branco
Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield Prediction. ICDM (Workshops) (2023)
Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin
Video Instance Segmentation Using Graph Matching Transformer. ICDM (Workshops) (2023)
Maximilian Becker, Emrah Toprak, Jürgen Beyerer
Explainable Artificial Intelligence for Interpretable Data Minimization. ICDM (Workshops) (2023)
Stanislaw Wozniak, Jan Kocon
From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis. ICDM (Workshops) (2023)
Henrique Duarte Moura, Leonid Kholkine, Lynn D'eer, Kevin Mets, Tom De Schepper
Towards graph-based forecasting with attention for real-world restaurant sales. ICDM (Workshops) (2023)
Diksha Shrivastava, Sarthak Pujari, Yatin Katyal, Siddhartha Asthana, Chandrudu K, Aakashdeep Singh
INFRANET: Forecasting intermittent time series using DeepNet with parameterized conditional demand and size distribution. ICDM (Workshops) (2023)