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Kazuhisa Fujita
PeerJ Author & Reviewer
250 Points

Contributions by role

Author 235
Reviewer 15

Contributions by subject area

Algorithms and Analysis of Algorithms
Artificial Intelligence
Data Mining and Machine Learning
Software Engineering
Neural Networks

Kazuhisa Fujita

PeerJ Author & Reviewer

Summary

Dr. Kazuhisa Fujita obtained his Ph.D. from the University of Electro-Communications in 2007. His research interests include AI, machine learning, artificial neural network, spiking neural network, clustering, and free energy principle.

Artificial Intelligence Data Mining & Machine Learning Neural Networks

Past or current institution affiliations

University of Electro-Communications

Work details

Associate Professor

Komatsu University
April 2018

Websites

  • Fujita’s website
  • Google Scholar
  • GitHub

PeerJ Contributions

  • Articles 3
January 8, 2024
An efficient and straightforward online vector quantization method for a data stream through remove-birth updating
Kazuhisa Fujita
https://doi.org/10.7717/peerj-cs.1789
October 4, 2022
AlphaDDA: strategies for adjusting the playing strength of a fully trained AlphaZero system to a suitable human training partner
Kazuhisa Fujita
https://doi.org/10.7717/peerj-cs.1123
August 20, 2021
Approximate spectral clustering using both reference vectors and topology of the network generated by growing neural gas
Kazuhisa Fujita
https://doi.org/10.7717/peerj-cs.679