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SDM 2025

A

SIAM International Conference on Data Mining

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71
accepted papers
70
authors
May 1-3, 2025
dates
USA
location

71 / 71 papers

  1. 1
    A Look Into News Avoidance Through AWRS: An Avoidance-Aware Recommender System
    Igor L. R. Azevedo
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  2. 2
    Acceleration in Low-Rank Tensor Completion
    Yifan Kang
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  3. 3
    Accurately Estimating Unreported Infections using Information Theory
    Jiaming Cui
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  4. 4
    An Interpretable Measure for Quantifying Predictive Dependence between Continuous Random Variables
    Renato Assunção
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  5. 5
    AnchorDrug: A system for drug-induced gene expression prediction in new contexts through active learning
    Han Meng
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  6. 6
    Anomaly Detection via Graph Contrastive Learning
    Emre Sefer
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  7. 7
    Approximating splits for decision trees quickly in sparse data streams
    Nikolaj Tatti
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  8. 8
    Automated Learning of Semantic Embedding Representations for Diffusion Models
    Limai Jiang
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  9. 9
    AutoSTDiff: Autoregressive Spatio-Temporal Denoising Diffusion Model for Asynchronous Trajectory Generation
    Rongchao Xu
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  10. 10
    AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation
    MohammadReza EskandariNasab
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  11. 11
    Better AI For Understanding Life on Earth: Predict First, Design Later
    Yana Bromberg
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  12. 12
    Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation
    Renqi Jia
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  13. 13
    Blue Sky: Expert-in-the-Loop Representation Learning Framework for Audio Anti-Spoofing: Multimodal, Multilingual, Multi-speaker, Multi-attack (4M) Scenarios
    Zahra Khanjani
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  14. 14
    Blue Sky: Reducing Performance Gap between Commercial and Open-Source LLMs
    Adithya Kulkarni
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  15. 15
    Bridging Numbers and Narratives: Enhancing Financial Market Risk Predictions through Numerical Information from Financial Documents
    Yu Qin
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  16. 16
    CDSRNP: Cross-Domain Sequential Recommendation via Neural Process
    Haipeng Li
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  17. 17
    CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic
    Huaiyuan Yao
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  18. 18
    Conformal Edge-Weight Prediction in Latent Space
    Akash Choudhuri
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  19. 19
    Constraint-Focused Training for Multistate Survival Analysis with Neural Networks
    Ryosuke Takayama
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  20. 20
    Context-Aware Frequency-Embedding Networks for Spatio-Temporal Portfolio Selection
    Ruirui Liu
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  21. 21
    Convergence-Guaranteed Elastic Net Graphical Model Estimation with Applications to Anomaly Localization
    Dzung T. Phan
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  22. 22
    CoT-Decoding: Complex Reasoning via Chain-of-Thought Decoding
    Guoquan Lu
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  23. 23
    Data mining the functional architecture of the brain's circuitry
    Adam S. Charles
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  24. 24
    Defense Against Shortest Path Attacks
    Benjamin A. Miller
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  25. 25
    Differentially Private Associative Co-clustering
    Elena Battaglia
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  26. 26
    DMDHC: Discovery of Multi-Density Hierarchical Cluster Structures
    Walid Durani
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  27. 27
    Domain Knowledge Augmented Contrastive Learning on Dynamic Hypergraphs for Improved Health Risk Prediction
    Akash Choudhuri
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  28. 28
    Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems
    Yiming Sun
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  29. 29
    DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering
    Shangdi Yu
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  30. 30
    Efficient Sampling of Temporal Networks with Preserved Causality Structure
    Felix I. Stamm
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  31. 31
    Emergence of Cooperation in Multi-Agent Reinforcement Learning via Coalition Labeling and Structural Entropy
    Dingli Su
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  32. 32
    End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection
    Boje Deforce
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  33. 33
    Equipping Graph Autoencoders: Revisiting Masking Strategies from a Robustness Perspective
    Shuhan Song
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  34. 34
    Evaluating Time Series Models with Knowledge Discovery
    Li Zhang
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  35. 35
    Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs
    Ruomeng Ding
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  36. 36
    Explainable AI for Real-Time Video Anomaly Anticipation
    David C. Anastasiu
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  37. 37
    Feature Deviation Embedding Improves Graph Structure Learning for Spatial Interpolation
    Chaofan Li
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  38. 38
    Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection
    Long Tan Le
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  39. 39
    FedGrAINS: Personalized SubGraph Federated Learning with AdaptIve Neighbor Sampling
    Emir Ceyani
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  40. 40
    Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph
    Wang-Tao Zhou
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  41. 41
    GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization
    Xiaodong Yang
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  42. 42
    Heterogeneous Multi-Agent Framework for Dynamic Generalized Category Discovery
    Fatimah Alotaibi
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  43. 43
    Hierarchical Superpixel Segmentation via Structural Information Theory
    Minhui Xie
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  44. 44
    Hybrid Bayesian Optimization with DIRECT
    Hongsheng Liu
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  45. 45
    Inter-Well Active Magnetic Ranging with Temporal and Interaction Network
    Zelong Hao
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  46. 46
    Label Shift Estimation With Incremental Prior Update
    Yunrui Zhang
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  47. 47
    Language Models are Explorers for Join Discovery on Data Lakes
    Yaohua Wang
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  48. 48
    Learning Confident Classifiers in the Presence of Label Noise
    Asma Ahmed Hashmi
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  49. 49
    Meta-learning of Class Knowledge in Zero-shot Learning
    Yuta Nambu
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  50. 50
    Metrics for Inter-Dataset Similarity with Example Applications in Synthetic Data and Feature Selection Evaluation
    Muhammad Rajabinasab
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