Yasuko Matsubara

According to our database, Yasuko Matsubara authored at least 57 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

EvoBrain: Dynamic Multi-channel EEG Graph Modeling for Time-evolving Brain Network.

Rikuto Kotoge, Zheng Chen, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, Yasushi Sakurai

CoRR, September, 2025

Robust and Explainable Detector of Time Series Anomaly via Augmenting Multiclass Pseudo-Anomalies.

Kohei Obata, Yasuko Matsubara, Yasushi Sakurai

CoRR, May, 2025

ExPath: Towards Explaining Targeted Pathways for Biological Knowledge Bases.

Rikuto Kotoge, Ziwei Yang, Zheng Chen, Yushun Dong, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai

CoRR, February, 2025

Antimicrobial resistance recommendations via electronic health records with graph representation and patient population modeling.

Pei Gao, Zheng Chen, Xin Liu, Peng Chen, Yasuko Matsubara, Yasushi Sakurai

Comput. Methods Programs Biomed., 2025

CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems.

Kota Nakamura, Koki Kawabata, Shungo Tanaka, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning.

Kohei Obata, Taichi Murayama, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the Data Science: Foundations and Applications, 2025

D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams.

Shingo Higashiguchi, Yasuko Matsubara, Koki Kawabata, Taichi Murayama, Yasushi Sakurai

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Modeling Time-evolving Causality over Data Streams.

Naoki Chihara, Yasuko Matsubara, Ren Fujiwara, Yasushi Sakurai

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Linguistic Landscape of Generative AI Perception: A Global Twitter Analysis Across 14 Languages.

Taichi Murayama, Kunihiro Miyazaki, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025

GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation.

Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Modeling Latent Non-Linear Dynamical System over Time Series.

Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Long-Term EEG Partitioning for Seizure Onset Detection.

Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

SODor: Long-Term EEG Partitioning for Seizure Onset Detection.

Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun

CoRR, 2024

FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting.

Xihao Piao, Zheng Chen, Yushun Dong, Yasuko Matsubara, Yasushi Sakurai

CoRR, 2024

CMOB: Large-Scale Cancer Multi-Omics Benchmark with Open Datasets, Tasks, and Baselines.

Ziwei Yang, Rikuto Kotoge, Zheng Chen, Xihao Piao, Yasuko Matsubara, Yasushi Sakurai

CoRR, 2024

BEHRNOULLI: A Binary EHR Data-Oriented Medication Recommendation System.

Xihao Piao, Pei Gao, Zheng Chen, Lingwei Zhu, Yasuko Matsubara, Yasushi Sakurai

CoRR, 2024

Dynamic Multi-Network Mining of Tensor Time Series.

Kohei Obata, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the ACM on Web Conference 2024, 2024

Fredformer: Frequency Debiased Transformer for Time Series Forecasting.

Xihao Piao, Zheng Chen, Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series.

Kohei Obata, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning.

Rikuto Kotoge, Zheng Chen, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, Yasushi Sakurai

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

Fast and Multi-aspect Mining of Complex Time-stamped Event Streams.

Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai

Proceedings of the ACM Web Conference 2023, 2023

Modeling Dynamic Interactions over Tensor Streams.

Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the ACM Web Conference 2023, 2023

The Chance of Winning Election Impacts on Social Media Strategy.

Taichi Murayama, Akira Matsui, Kunihiro Miyazaki, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling.

Ziwei Yang, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation.

Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Mining Reaction and Diffusion Dynamics in Social Activities.

Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai

CoRR, 2022

Fast Mining and Forecasting of Co-evolving Epidemiological Data Streams.

Tasuku Kimura, Yasuko Matsubara, Koki Kawabata, Yasushi Sakurai

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Mining Reaction and Diffusion Dynamics in Social Activities.

Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai, None None

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Partial Discharge Detection for Underground Transmission Lines Using Nonnegative Matrix Factorization.

Akihiro Tanabe, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the IEEE International Conference on Big Data, 2022

2020

Real-time Forecasting of Non-linear Competing Online Activities.

Thinh Minh Do, Yasuko Matsubara, Yasushi Sakurai

J. Inf. Process., 2020

Non-Linear Mining of Social Activities in Tensor Streams.

Koki Kawabata, Yasuko Matsubara, Takato Honda, Yasushi Sakurai

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Dynamic Modeling and Forecasting of Time-evolving Data Streams.

Yasuko Matsubara, Yasushi Sakurai

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Multi-aspect Mining of Complex Sensor Sequences.

Takato Honda, Yasuko Matsubara, Ryo Neyama, Mutsumi Abe, Yasushi Sakurai

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Automatic Sequential Pattern Mining in Data Streams.

Kouki Kawabata, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

StreamScope: Automatic Pattern Discovery over Data Streams.

Kouki Kawabata, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the First International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2018

Data Stream Analysis of Online Activities.

Kouki Kawabata, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

Automatic Mining of Large IoT Sensor Tensor.

Takato Honda, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Ecosystem on the Web: non-linear mining and forecasting of co-evolving online activities.

Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos

World Wide Web, 2017

Nonlinear Dynamics of Information Diffusion in Social Networks.

Yasuko Matsubara, Yasushi Sakurai, B. Aditya Prakash, Lei Li, Christos Faloutsos

ACM Trans. Web, 2017

Automatic and Effective Mining of Coevolving Online Activities.

Thinh Minh Do, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2016

Non-linear Time-series Analysis of Social Influence.

Thinh Minh Do, Yasuko Matsubara, Yasushi Sakurai

J. Inf. Process., 2016

Mining Big Time-series Data on the Web.

Yasushi Sakurai, Yasuko Matsubara, Christos Faloutsos

Proceedings of the 25th International Conference on World Wide Web, 2016

Non-Linear Mining of Competing Local Activities.

Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos

Proceedings of the 25th International Conference on World Wide Web, 2016

Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences.

Yasuko Matsubara, Yasushi Sakurai

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

The Web as a Jungle: Non-Linear Dynamical Systems for Co-evolving Online Activities.

Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos

Proceedings of the 24th International Conference on World Wide Web, 2015

Mining and Forecasting of Big Time-series Data.

Yasushi Sakurai, Yasuko Matsubara, Christos Faloutsos

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014

AutoPlait: automatic mining of co-evolving time sequences.

Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos

Proceedings of the International Conference on Management of Data, 2014

Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries.

Flavio Figueiredo, Jussara M. Almeida, Yasuko Matsubara, Bruno Ribeiro, Christos Faloutsos

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

FUNNEL: automatic mining of spatially coevolving epidemics.

Yasuko Matsubara, Yasushi Sakurai, Willem G. van Panhuis, Christos Faloutsos

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Fast and Exact Monitoring of Co-Evolving Data Streams.

Yasuko Matsubara, Yasushi Sakurai, Naonori Ueda, Masatoshi Yoshikawa

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

F-Trail: Finding Patterns in Taxi Trajectories.

Yasuko Matsubara, Lei Li, Evangelos E. Papalexakis, David Lo, Yasushi Sakurai, Christos Faloutsos

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2012

Rise and fall patterns of information diffusion: model and implications.

Yasuko Matsubara, Yasushi Sakurai, B. Aditya Prakash, Lei Li, Christos Faloutsos

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Fast mining and forecasting of complex time-stamped events.

Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos, Tomoharu Iwata, Masatoshi Yoshikawa

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

<i>D-Search</i>: an efficient and exact search algorithm for large distribution sets.

Yasuko Matsubara, Yasushi Sakurai, Masatoshi Yoshikawa

Knowl. Inf. Syst., 2011

WindMine: Fast and Effective Mining of Web-click Sequences.

Yasushi Sakurai, Lei Li, Yasuko Matsubara, Christos Faloutsos

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

2009

Scalable Algorithms for Distribution Search.

Yasuko Matsubara, Yasushi Sakurai, Masatoshi Yoshikawa

Proceedings of the ICDM 2009, 2009

2007

Development of a Desktop Search System Using Correlation between User's Schedule and Data in a Computer.

Yasuko Matsubara, Ichiro Kobayashi

Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2007