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Daisuke Kitakoshi
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2020 – today
- 2022
- [c17]Tomoshi Iiyama, Daisuke Kitakoshi, Masato Suzuki:
Optimizing Food Allocation in Food Banks with Multi-agent Deep Reinforcement Learning. TAAI 2022: 203-208 - 2021
- [c16]Tomoshi Iiyama, Daisuke Kitakoshi, Masato Suzuki:
An Approach for Creation of Logistics Management System for Food Banks Based on Reinforcement Learning. ICISS 2021: 60-67 - 2020
- [c15]Daisuke Kitakoshi, Kentarou Suzuki, Masato Suzuki:
A Study on Coordination of Exercise Difficulty in Cognitive Training System for Older Adults. SCIS/ISIS 2020: 1-6
2010 – 2019
- 2019
- [c14]Daisuke Kitakoshi, Sho Hirose, Akihiro Yamashita, Masato Suzuki, Kentarou Suzuki:
Development of an Intelligent Dialogue Agent for Older Adults : Evaluation of Functions to Control Spontaneous Talk and Coordinate Speech Content. TAAI 2019: 1-6 - 2018
- [c13]Satoshi Yamada, Daisuke Kitakoshi, Akihiro Yamashita, Kentarou Suzuki, Masato Suzuki:
Development of an Intelligent Dialogue Agent with Smart Devices for Older Adults: A Preliminary Study. TAAI 2018: 50-53 - 2017
- [j5]Daisuke Kitakoshi, Takuya Okano, Masato Suzuki:
An empirical study on evaluating basic characteristics and adaptability to users of a preventive care system with learning communication robots. Soft Comput. 21(2): 331-351 (2017) - [c12]Godai Azuma, Daisuke Kitakoshi, Masato Suzuki:
Stepwise Structure Learning Using Probabilistic Pruning for Bayesian Networks: Improving Efficiency and Comparing Characteristics. ICISA 2017: 533-543 - [c11]Daisuke Kitakoshi, Kazuki Yanagisawa, Masato Suzuki:
Empirical Study of Student Evaluations of Research Activity Support System for Higher Education Students in Various Fields. TAAI 2017: 112-117 - 2016
- [c10]Daisuke Kitakoshi, Shunya Toda, Masato Suzuki:
A Validity Analysis of a User Model Employed in a Research Activity Support System. SCIS&ISIS 2016: 591-597 - 2015
- [j4]Daisuke Kitakoshi, Ryo Hanada, Keitarou Iwata, Masato Suzuki:
Cognitive Training System for Dementia Prevention Using Memory Game Based on the Concept of Human-Agent Interaction. J. Adv. Comput. Intell. Intell. Informatics 19(6): 727-737 (2015) - 2014
- [c9]Ryo Hanada, Daisuke Kitakoshi, Masato Suzuki:
Analysis of a system for dementia prevention based on the concept of Human-Agent Interaction. GrC 2014: 88-93 - 2013
- [c8]Takuya Okano, Daisuke Kitakoshi, Masato Suzuki:
A Preliminary Study on Preventive Care System Based on Game Playing with Communication Robots. TAAI 2013: 84-89 - 2012
- [j3]Uthai Phommasak, Daisuke Kitakoshi, Hiroyuki Shioya:
An Adaptation System in Unknown Environments Using a Mixture Probability Model and Clustering Distributions. J. Adv. Comput. Intell. Intell. Informatics 16(6): 733-740 (2012) - 2011
- [c7]Daisuke Kitakoshi, Shuhei Wakasaki, Masato Suzuki:
A probabilistic reasoning algorithm for Bayesian networks by simplifying their structures. GrC 2011: 336-341 - [c6]Naoto Ohsaka, Daisuke Kitakoshi, Masato Suzuki:
A reinforcement learning method to improve the sweeping efficiency for an agent. GrC 2011: 515-520 - [c5]Daisuke Kitakoshi, Ryunosuke Miyauchi, Masato Suzuki:
A study on Reinforcement Learning system for agents to acquire cooperative behavior in gap-widening situations. RiiSS 2011: 55-62 - 2010
- [j2]Daisuke Kitakoshi, Hiroyuki Shioya, Ryohei Nakano:
Empirical analysis of an on-line adaptive system using a mixture of Bayesian networks. Inf. Sci. 180(15): 2856-2874 (2010)
2000 – 2009
- 2007
- [c4]Yusuke Tanahashi, Daisuke Kitakoshi, Ryohei Nakano:
Nominally Piecewise Multiple Regression Using a Four-Layer Perceptron. KES (3) 2007: 218-226 - 2006
- [c3]Masayuki Karasuyama, Daisuke Kitakoshi, Ryohei Nakano:
Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error. IJCNN 2006: 319-326 - [c2]Yusuke Tanahashi, Kazumi Saito, Daisuke Kitakoshi, Ryohei Nakano:
Finding Nominally Conditioned Multivariate Polynomials Using a Four-Layer Perceptron Having Shared Weights. KES (2) 2006: 969-976 - 2005
- [c1]Daisuke Kitakoshi, Hiroyuki Shioya, Ryohei Nakano:
Analysis for Adaptability of Policy-Improving System with a Mixture Model of Bayesian Networks to Dynamic Environments. KES (4) 2005: 730-737 - 2003
- [j1]Daisuke Kitakoshi, Hiroyuki Shioya, Masahito Kurihara:
Analysis of a Method Improving Reinforcement Learning Agents' Policies. J. Adv. Comput. Intell. Intell. Informatics 7(3): 276-282 (2003)
Coauthor Index
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