Yasuko Matsubara

Orcid: 0000-0003-3566-7721

According to our database1, Yasuko Matsubara authored at least 43 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
CMOB: Large-Scale Cancer Multi-Omics Benchmark with Open Datasets, Tasks, and Baselines.
CoRR, 2024

BEHRNOULLI: A Binary EHR Data-Oriented Medication Recommendation System.
CoRR, 2024

Linguistic Landscape of Generative AI Perception: A Global Twitter Analysis Across 14 Languages.
CoRR, 2024

Dynamic Multi-Network Mining of Tensor Time Series.
Proceedings of the ACM on Web Conference 2024, 2024

Fredformer: Frequency Debiased Transformer for Time Series Forecasting.
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.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Fast and Multi-aspect Mining of Complex Time-stamped Event Streams.
Proceedings of the ACM Web Conference 2023, 2023

Modeling Dynamic Interactions over Tensor Streams.
Proceedings of the ACM Web Conference 2023, 2023

The Chance of Winning Election Impacts on Social Media Strategy.
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.
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.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Mining Reaction and Diffusion Dynamics in Social Activities.
CoRR, 2022

Fast Mining and Forecasting of Co-evolving Epidemiological Data Streams.
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.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Partial Discharge Detection for Underground Transmission Lines Using Nonnegative Matrix Factorization.
Proceedings of the IEEE International Conference on Big Data, 2022

2020
Real-time Forecasting of Non-linear Competing Online Activities.
J. Inf. Process., 2020

Non-Linear Mining of Social Activities in Tensor Streams.
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.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Multi-aspect Mining of Complex Sensor Sequences.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Automatic Sequential Pattern Mining in Data Streams.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
StreamScope: Automatic Pattern Discovery over Data Streams.
Proceedings of the First International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2018

Data Stream Analysis of Online Activities.
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.
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.
World Wide Web, 2017

Nonlinear Dynamics of Information Diffusion in Social Networks.
ACM Trans. Web, 2017

Automatic and Effective Mining of Coevolving Online Activities.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2016
Non-linear Time-series Analysis of Social Influence.
J. Inf. Process., 2016

Mining Big Time-series Data on the Web.
Proceedings of the 25th International Conference on World Wide Web, 2016

Non-Linear Mining of Competing Local Activities.
Proceedings of the 25th International Conference on World Wide Web, 2016

Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences.
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.
Proceedings of the 24th International Conference on World Wide Web, 2015

Mining and Forecasting of Big Time-series Data.
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.
Proceedings of the International Conference on Management of Data, 2014

Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

FUNNEL: automatic mining of spatially coevolving epidemics.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Fast and Exact Monitoring of Co-Evolving Data Streams.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
F-Trail: Finding Patterns in Taxi Trajectories.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2012
Rise and fall patterns of information diffusion: model and implications.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Fast mining and forecasting of complex time-stamped events.
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.
Knowl. Inf. Syst., 2011

WindMine: Fast and Effective Mining of Web-click Sequences.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

2009
Scalable Algorithms for Distribution Search.
Proceedings of the ICDM 2009, 2009

2007
Development of a Desktop Search System Using Correlation between User's Schedule and Data in a Computer.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2007


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