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Yasuko Matsubara

19 papers at tracked venues · 16 at CORE A* · active 2024–2026

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Venues

SIGKDD ×7WWW ×4AAAI ×3ICDM ×2ICLR ×1ICWSM ×1NeurIPS ×1

Frequent coauthors

Rikuto Kotoge
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Kohei Obata
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Kota Nakamura
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Shingo Higashiguchi
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Soshi Kakio
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Yuka Tamura
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Ziwei Yang
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Taichi Murayama
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Zheng Chen
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Ren Fujiwara
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Naoki Chihara
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Xihao Piao
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Papers

  1. Fast Mining and Dynamic Time-to-Event Prediction over Multi-sensor Data Streams
    SIGKDD 2026 ·
    Kota Nakamura
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  2. Interpretable Dynamic Network Modeling of Tensor Time Series via Kronecker Time-Varying Graphical Lasso
    WWW 2026 ·
    Shingo Higashiguchi
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  3. Multi-Aspect Mining and Anomaly Detection for Heterogeneous Tensor Streams
    WWW 2026 ·
    Soshi Kakio
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  4. Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation
    AAAI 2026 ·
    Rikuto Kotoge
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  5. CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems
    WWW 2025 ·
    Kota Nakamura
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  6. D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
    SIGKDD 2025 ·
    Shingo Higashiguchi
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  7. Discovery of Latent Dynamical Patterns in Biomedical Data
    ICDM 2025 ·
    Yuka Tamura
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  8. EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks
    NeurIPS 2025 ·
    Rikuto Kotoge
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  9. GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
    ICLR 2025 ·
    Ziwei Yang
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  10. Linguistic Landscape of Generative AI Perception: A Global Twitter Analysis Across 14 Languages
    ICWSM 2025 ·
    Taichi Murayama
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  11. Long-Term EEG Partitioning for Seizure Onset Detection
    AAAI 2025 ·
    Zheng Chen
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  12. MicroAdapt: Self-Evolutionary Dynamic Modeling Algorithms for Time-evolving Data Streams
    SIGKDD 2025 · Yasuko Matsubara
  13. Modeling Latent Non-Linear Dynamical System over Time Series
    AAAI 2025 ·
    Ren Fujiwara
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  14. Modeling Time-evolving Causality over Data Streams
    SIGKDD 2025 ·
    Naoki Chihara
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  15. Robust and Explainable Detector of Time Series Anomaly via Augmenting Multiclass Pseudo-Anomalies
    SIGKDD 2025 ·
    Kohei Obata
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  16. Dynamic Multi-Network Mining of Tensor Time Series
    WWW 2024 ·
    Kohei Obata
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  17. Fredformer: Frequency Debiased Transformer for Time Series Forecasting
    SIGKDD 2024 ·
    Xihao Piao
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  18. Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series
    SIGKDD 2024 ·
    Kohei Obata
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  19. SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning
    ICDM 2024 ·
    Rikuto Kotoge
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