- Ian Davidson, Michael J. Livanos, Antoine Gourru, Peter B. Walker, Julien Velcin, S. S. Ravi:
An Exemplars-Based Approach for Explainable Clustering: Complexity and Efficient Approximation Algorithms. SDM 2024: 46-54 - Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh:
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies. SDM 2024: 37-45 - Majid Farhadloo, Arun Sharma, Jayant Gupta, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar:
Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data. SDM 2024: 616-624 - Mahsa Forouzesh, Patrick Thiran:
Differences Between Hard and Noisy-labeled Samples: An Empirical Study. SDM 2024: 91-99 - Hongchang Gao, Yubin Duan, Yihan Zhang, Jie Wu:
Decentralized Stochastic Compositional Gradient Descent for AUPRC Maximization. SDM 2024: 226-234 - Junruo Gao, Chen Ling, Carl Yang, Liang Zhao:
Helper Recommendation with seniority control in Online Health Community. SDM 2024: 253-261 - Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, Vipin Kumar:
Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. SDM 2024: 334-342 - Michal K. Grzeszczyk, Tomasz Trzcinski, Arkadiusz Sitek:
MISS: Multiclass Interpretable Scoring Systems. SDM 2024: 55-63 - Zhiqiang Guo, Guohui Li, Jianjun Li, Chaoyang Wang, Si Shi:
DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation. SDM 2024: 571-579 - Erhu He, Yiqun Xie, Licheng Liu, Zhenong Jin, Dajun Zhang, Xiaowei Jia:
Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features. SDM 2024: 715-723 - Shamima Hossain, Christos Faloutsos, Boris Baer, Hyoseung Kim, Vassilis J. Tsotras:
EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series. SDM 2024: 298-306 - Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu:
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. SDM 2024: 370-378 - Wei Hu, Bowen Jin, Minhao Jiang, Sizhe Zhou, Zhaonan Wang, Jiawei Han, Shaowen Wang:
Geospatial Topological Relation Extraction from Text with Knowledge Augmentation. SDM 2024: 472-480 - Mingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo:
Only Attending What Matter within Trajectories - Memory-Efficient Trajectory Attention. SDM 2024: 481-489 - Chuxuan Hu, Qinghai Zhou, Hanghang Tong:
Genius: Subteam Replacement with Clustering-based Graph Neural Networks. SDM 2024: 10-18 - Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch:
Early Multiple Temporal Patterns Based Event Prediction in Heterogeneous Multivariate Temporal Data. SDM 2024: 199-207 - Ujun Jeong, Ayushi Nirmal, Kritshekhar Jha, Xu Tang, H. Russell Bernard, Huan Liu:
User Migration across Multiple Social Media Platforms. SDM 2024: 436-444 - Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu:
Disinformation Detection: An Evolving Challenge in the Age of LLMs. SDM 2024: 427-435 - Nasrin Kalanat, Yiqun Xie, Yanhua Li, Xiaowei Jia:
Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow Prediction. SDM 2024: 598-606 - Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra:
Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. SDM 2024: 815-823 - Ryoji Kubo, Djellel Eddine Difallah:
XGExplainer: Robust Evaluation-based Explanation for Graph Neural Networks. SDM 2024: 64-72 - Fengxin Li, Hongyan Liu, Jun He, Xiaoyong Du:
CausalCDR: Causal Embedding Learning for Cross-domain Recommendation. SDM 2024: 553-561 - Qingfeng Li, Huifang Ma, Wangyu Jin, Yugang Ji, Zhixin Li:
Multi-Interest Network with Simple Diffusion for Multi-Behavior Sequential Recommendation. SDM 2024: 734-742 - Qiang Li, Yiqiao Sun, Linsey Pang, Liang Sun, Qingsong Wen:
Stable Synthetic Control with Anomaly Detection for Causal Inference. SDM 2024: 770-778 - Haowen Lin, Yao-Yi Chiang, Li Xiong, Cyrus Shahabi:
Unified Modeling and Clustering of Mobility Trajectories with Spatiotemporal Point Processes. SDM 2024: 625-633 - Yuansan Liu, Sudanthi N. R. Wijewickrema, Ang Li, Christofer Bester, Stephen J. O'Leary, James Bailey:
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation. SDM 2024: 325-333 - Michael J. Livanos, Ian Davidson:
Identification and Uses of Deep Learning Backbones via Pattern Mining. SDM 2024: 697-705 - Wang Lu, Jindong Wang, Yidong Wang, Xing Xie:
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. SDM 2024: 244-252 - Qikai Lu, Di Niu, Mohammadamin Samadi Khoshkho, Baochun Li:
HyperFLoRA: Federated Learning with Instantaneous Personalization. SDM 2024: 824-832 - Xueqi Ma, Xingjun Ma, Sarah M. Erfani, James Bailey:
Training Sparse Graph Neural Networks via Pruning and Sprouting. SDM 2024: 136-144