Ryota Tomioka

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Researcher (help)
Ryota Tomioka
Affiliation: Toyota Technological Institute at Chicago
Department of Mathematical Informatics, University of Tokyo
Intelligent Data Analysis Group
Section for Cognitive Systems, Technical University of Denmark
Location: Japan
Position: Research Assistant Professor
Interest(s):
Databases: Google Scholar Scopus Twitter (ryotat)
Link(s): http://ttic.uchicago.edu/~ryotat/
http://www.ibis.t.u-tokyo.ac.jp/RyotaTomioka
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Ryota Tomioka is Research Assistant Professor at the Toyota Technological Institute at Chicago.

He has been at the Information-Theoretic Machine Learning and Data Mining Group at the Department of Mathematical Informatics, University of Tokyo.

He is also a Visting Associate Professor at the Section for Cognitive Systems, Technical University of Denmark.

[edit] Work

  1. A regularized discriminative framework for EEG analysis with application to brain-computer interface
  2. Logistic regression for single trial EEG classification
  3. Optimizing spectral filters for single trial EEG classification
  4. Spectrally weighted common spatial pattern algorithm for single trial EEG classification

[edit] As co-author

  1. Invariant common spatial patterns: alleviating nonstationarities in brain-computer interfacing
  2. Large-scale EEG/MEG source localization with spatial flexibility
  3. Modeling sparse connectivity between underlying brain sources for EEG/MEG
  4. Optimizing spatial filters for robust EEG single-trial analysis
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