Shotaro Akaho

J-GLOBAL         Last updated: Nov 3, 2018 at 17:25
 
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Name
Shotaro Akaho
E-mail
s.akahoaist.go.jp
URL
http://staff.aist.go.jp/s.akaho/
Affiliation
National Institute of Advanced Industrial Science and Technology
Section
Mathematical Neuroinformatics Group
Job title
Group Leader
Degree
Ph.D.(University of Tokyo)
ORCID ID
0000-0002-4623-2718

Academic & Professional Experience

 
Apr 2015
 - 
Today
Group Leader, Human Informatics Research Institute, Mathematical NeuroInformatics Group, AIST
 
Apr 2010
 - 
Mar 2015
Group Leader, AIST Human Technology Research Institute, Mathematical Neuroinformatics Group
 
Apr 2001
 - 
Mar 2010
Group leader, AIST Neuroscience Research Institute, Mathematical Neuroinformatics Group
 
Mar 2001
   
 
Ph.D, University of Tokyo, Mathematical Engineering
 
Apr 1990
   
 
Researcher, Electrotechnical Laboratory, Information Science Division, Mathematical Informatics Section
 

Published Papers

 
Ryo Karakida,Shotaro Akaho,Shun-ichi Amari
CoRR   abs/1806.01316    2018   [Refereed]
Takano K, Hino H, Akaho S, Murata N.
Neural Computation   28(12) 2687-2725   2016   [Refereed]
Toshihiro Kamishima,Shotaro Akaho,Hideki Asoh,Jun Sakuma
Conference on Fairness, Accountability and Transparency, FAT 2018, 23-24 February 2018, New York, NY, USA   187-201   2018   [Refereed]
Hino H, Takano K, Akaho S, Murata N.
Neural Information Processing, Iconip 2016, Pt Ii   9948 3-10   2016   [Refereed]
Array,Shotaro Akaho,Hideki Asoh,Jun Sakuma
Data Min. Knowl. Discov.   32(1) 258-286   2018   [Refereed]

Misc

 
城真範, 興梠貴英, 赤穗昭太郎
人工知能学会全国大会論文集(CD-ROM)   30th ROMBUNNO.2C3‐3   2016
KAMISHIMA Toshihiro, AKAHO Shotaro, ASOH Hideki, SAKUMA Jun
電子情報通信学会技術研究報告 = IEICE technical report : 信学技報   114(198) 85-92   Sep 2014
Calders and Verwer's two-naive-Bayes is one of fairness-aware classifiers, which classify objects while excluding the influence of a specific information. We analyze why this classifier achieves very high level of the fairness, and show that this ...
KAMISHIMA Toshihiro, AKAHO Shotaro, ASOH Hideki, SAKUMA Jun
Technical report of IEICE. PRMU   114(197) 85-92   Sep 2014
Calders and Verwer's two-naive-Bayes is one of fairness-aware classifiers, which classify objects while excluding the influence of a specific information. We analyze why this classifier achieves very high level of the fairness, and show that this ...
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
IPSJ SIG Notes. CVIM   2014(15) 1-8   Aug 2014
Calders and Verwer's two-naive-Bayes is one of fairness-aware classifiers, which classify objects while excluding the influence of a specific information. We analyze why this classifier achieves very high level of the fairness, and show that this ...
神嶌 敏弘, 赤穂 昭太郎, 麻生 英樹
人工知能学会全国大会論文集   28 1-4   2014

Books etc

 
渡辺 澄夫, 萩原 克幸, 赤穂 昭太郎, 本村 陽一, 福水 健次, 岡田 真人, 青柳 美輝
森北出版株式会社   Jul 2005   ISBN:4627829418