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Publication search results
found 2,009 matches
- 2024
- Shaofei Shen, Chenhao Zhang, Alina Bialkowski, Weitong Chen, Miao Xu:
CaMU: Disentangling Causal Effects in Deep Model Unlearning. SDM 2024: 779-787 - Saket Sathe, Charu Aggarwal, Horst Samulowitz, Deepak S. Turaga:
Feature-Engineered Random Forests. SDM 2024: 100-108 - Zhe Jiang, Yu Wang, Zelin Xu:
Foundation Models for Spatiotemporal Tasks in the Physical World. SDM 2024: 392-395 - Giulia Bernardini, Huiping Chen, Alessio Conte, Roberto Grossi, Veronica Guerrini, Grigorios Loukides, Nadia Pisanti, Solon P. Pissis:
Utility-Oriented String Mining. SDM 2024: 190-198 - Liang Wang, Hao Fu, Shu Wu, Qiang Liu, Xuelei Tan, Fangsheng Huang, Mengdi Zhang, Wei Wu:
CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction. SDM 2024: 454-462 - Dongliang Guo, Yun Fu, Sheng Li:
Ada-VAD: Domain Adaptable Video Anomaly Detection. SDM 2024: 634-642 - Kunpeng Xu, Lifei Chen, Jean-Marc Patenaude, Shengrui Wang:
RHINE: A Regime-Switching Model with Nonlinear Representation for Discovering and Forecasting Regimes in Financial Markets. SDM 2024: 526-534 - Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng:
Graph Summarization for Preserving Spectral Characteristics. SDM 2024: 271-279 - Shreya Ghosh, Prasenjit Mitra:
Bridging Semantics: Mobility Analytics Framework for Knowledge Transfer. SDM 2024: 607-615 - Hongyu Zhang, Dongyi Zheng, Xu Yang, Jiyuan Feng, Qing Liao:
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning. SDM 2024: 535-543 - Zhong Chen, Yi He, Di Wu, Huixin Zhan, Victor S. Sheng, Kun Zhang:
Robust Sparse Online Learning for Data Streams with Streaming Features. SDM 2024: 181-189 - Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez:
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. SDM 2024: 833-841 - Cong Fu, Xuan Zhang, Huixin Zhang, Hongyi Ling, Shenglong Xu, Shuiwang Ji:
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems. SDM 2024: 490-498 - Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji:
3D Molecular Geometry Analysis with 2D Graphs. SDM 2024: 343-351 - Zheng Zhang, Liang Zhao:
Self-Similar Graph Neural Network for Hierarchical Graph Learning. SDM 2024: 28-36 - Zheng Zhang, Sirui Li, Jingcheng Zhou, Junxiang Wang, Abhinav Angirekula, Allen Zhang, Liang Zhao:
Non-Euclidean Spatial Graph Neural Network. SDM 2024: 154-162 - Vivek Anand, Jiaming Cui, Jack Heavey, Anil Vullikanti, B. Aditya Prakash:
H2ABM: Heterogeneous Agent-based Model on Hypergraphs to Capture Group Interactions. SDM 2024: 280-288 - Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek:
Dimensionality-Aware Outlier Detection. SDM 2024: 652-660 - Ehtesamul Azim, Dongjie Wang, Kunpeng Liu, Wei Zhang, Yanjie Fu:
Feature Interaction Aware Automated Data Representation Transformation. SDM 2024: 878-886 - Karuna Bhaila, Wen Huang, Yongkai Wu, Xintao Wu:
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach. SDM 2024: 1-9 - Dainis Boumber, Rakesh M. Verma, Fatima Zahra Qachfar:
Blue Sky: Multilingual, Multimodal Domain Independent Deception Detection. SDM 2024: 396-399 - Frederik Brüning, Anne Driemel, Alperen Ergür, Heiko Röglin:
On the number of iterations of the DBA algorithm. SDM 2024: 172-180 - Louis Carpentier, Len Feremans, Wannes Meert, Mathias Verbeke:
Pattern-based Time Series Semantic Segmentation with Gradual State Transitions. SDM 2024: 316-324 - Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael S. Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar:
Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. SDM 2024: 589-597 - Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang:
Test-Time Training for Spatial-Temporal Forecasting. SDM 2024: 463-471 - Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan:
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. SDM 2024: 418-426 - Hongliang Chi, Cong Qi, Suhang Wang, Yao Ma:
Active Learning for Graphs with Noisy Structures. SDM 2024: 262-270 - Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian:
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion. SDM 2024: 688-696 - Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma:
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. SDM 2024: 289-297 - Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma:
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. SDM 2024: 361-369
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