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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM, IBISML [detail] 2016-09-06
Toyama   [Invited Talk] Data Analysis Using Ptyhon (Summarized version)
Toshihiro Kamishima (AIST) PRMU2016-86 IBISML2016-41
This talk is a summary version of the talk entitled ``Data Analysis in Python'', held on Sep.~9,~2016 in FIT2016. Data a... [more] PRMU2016-86 IBISML2016-41
PRMU, IBISML, IPSJ-CVIM [detail] 2014-09-01
Ibaraki   Analysing the Fairness of Fairness-aware Classifiers
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh (AIST), Jun Sakuma (Univ. of Tsukuba) PRMU2014-47 IBISML2014-28
Calders and Verwer's two-naive-Bayes is one of fairness-aware classifiers, which classify objects while excluding the in... [more] PRMU2014-47 IBISML2014-28
IBISML 2013-07-18
Tokyo Nishiwaseda Campus (Waseda univ.) An improvement of a Neutrality Term in an Information-neutral Recommender System
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh (AIST), Jun Sakuma (Univ. of Tsukuba) IBISML2013-7
Information-neutral recommender systems aim to make recommendations whose neutrality from the specified viewpoint is gua... [more] IBISML2013-7
NC, NLP 2013-01-24
Hokkaido Hokkaido University Centennial Memory Hall Analysis of Medical Treatment Data using Inverse Reinforcement Learning
Hideki Asoh, Masanori Shiro, Toshihiro Kamishima, Shotaro Akaho (AIST), Takahide Kohro (Univ. of Tokyo Hospital) NLP2012-106 NC2012-96
It is an important issue to utilize large amount of medical records which are accumulated on medical information systems... [more] NLP2012-106 NC2012-96
(Joint) [detail]
Tokyo   A Survey on Fairness/Discrimination-Aware Mining
Toshihiro Kamishima (AIST) PRMU2012-30 IBISML2012-13
Fairness-aware / discrimination-aware mining is data analysis techniques while keeping aware of fairness, discrimination... [more] PRMU2012-30 IBISML2012-13
NC 2012-01-27
Hokkaido Future University Hakodate Analysis of Time Series Data Accompanied with Rewards and Actions using Reinforcement Learning
Hideki Asoh, Masanori Shiro, Toshihiro Kamishima, Shotaro Akaho (AIST), Takahide Kohro (Univ. Tokyo) NC2011-115
Although the main applications of reinforcement learning (RL) is online
learning of intelligent agents working in envir... [more]
IBISML 2010-06-14
Tokyo Takeda Hall, Univ. Tokyo Customized Pricing Recommender System -- Simple Implementation and Preliminary Experiments --
Toshihiro Kamishima, Shotaro Akaho (AIST), Jun Sakuma (Univ. of Tsukuba/JST) IBISML2010-11
Recommender systems suggests items that would be preferred to customers. Here, we propose to add new function, price dis... [more] IBISML2010-11
SWIM 2008-08-22 Tokyo Kikai-Shinko-Kaikan Bldg [Special Talk] Usage of Information in Information Overload Era -- Recommender System and Collaborative Filtering --
Toshihiro Kamishima (AIST) SWIM2008-7
We will talk about a recommender system, especially the algorithms and design options adopted for implementing the syste... [more] SWIM2008-7
 Results 1 - 8 of 8  /   
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