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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 32  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
AI 2021-01-27
16:25
Online Online AI2020-21  [more] AI2020-21
pp.42-45
AI 2020-12-10
15:25
Shizuoka Online and HAMAMATSU ACT CITY
(Primary: On-site, Secondary: Online)
Preliminary Analysis of Educational Cloud Platforms using Multi-agent Learning.
Kandel Asmita, Naoki Fukuta (Shizuoka Univ.) AI2020-5
 [more] AI2020-5
pp.25-27
AI 2020-12-10
15:50
Shizuoka Online and HAMAMATSU ACT CITY
(Primary: On-site, Secondary: Online)
What Affect Motivation to Participate in Online Mini-publics with Artificial Intelligence Technologies ? -- Focusing on Social Attributes and Attitudes towards Politics and Information Technology --
Tomoyuki Tatsumi, Takashi Nakazawa, Naoki Fukuta (Shizuoka Univ.) AI2020-6
This paper examined how willingness to participate in deliberative polls was related with the use of ICT, societal attri... [more] AI2020-6
pp.28-33
AI 2020-12-11
09:30
Shizuoka Online and HAMAMATSU ACT CITY
(Primary: On-site, Secondary: Online)
Preliminary analysis of path planning and environmental recognition for autonomous car parking
Anand Nidhi, Naoki Fukuta (Shizuoka Univ.) AI2020-8
 [more] AI2020-8
pp.39-42
AI 2020-12-11
09:55
Shizuoka Online and HAMAMATSU ACT CITY
(Primary: On-site, Secondary: Online)
Preliminary Analysis on Smart Traffic Control Using Multi-Agent Learning
Raihan MD Golam, Naoki Fukuta (Shizuoka Univ.) AI2020-9
 [more] AI2020-9
pp.43-45
AI 2020-12-11
10:20
Shizuoka Online and HAMAMATSU ACT CITY
(Primary: On-site, Secondary: Online)
A Preliminary Multi-Agent Reinforcement Learning Approach for Responding Dynamic Traffic in Communication Destination Anonymization
Keita Sugiyama, Naoki Fukuta (Shizuoka Univ.) AI2020-10
In this paper, we describe our prototype mechanism using the simulation-based multi-agent reinforcement learning for aut... [more] AI2020-10
pp.46-51
AI 2020-12-11
11:20
Shizuoka Online and HAMAMATSU ACT CITY
(Primary: On-site, Secondary: Online)
Preliminary analysis of recommender-based approach for medical diagnostic problems.
Halim Md Abdul, Naoki Fukuta (Shizuoka Univ.) AI2020-12
 [more] AI2020-12
pp.57-58
AI 2019-12-06
14:00
Overseas The University of Adelaide
Masaaki Horie, Naoki Fukuta (Shizuoka Univ.) AI2019-40
(To be available after the conference date) [more] AI2019-40
pp.9-14
AI 2019-12-06
14:25
Overseas The University of Adelaide AI2019-41  [more] AI2019-41
pp.15-16
AI 2019-07-22
10:30
Hokkaido   AI2019-2 (To be available after the conference date) [more] AI2019-2
pp.7-8
AI 2019-07-22
13:20
Hokkaido   AI2019-7 (To be available after the conference date) [more] AI2019-7
pp.33-38
AI 2019-07-22
15:15
Hokkaido   AI2019-12 (To be available after the conference date) [more] AI2019-12
pp.63-64
AI 2019-07-22
15:35
Hokkaido   AI2019-13 (To be available after the conference date) [more] AI2019-13
pp.65-70
AI, SC 2014-08-20
15:40
Tokyo National Institute of Informatics A Preliminary Analysis on Dynamic Query Optimisation Mechanism for SPARQL Query Processing
Yuji Yamagata, Naoki Fukuta (Shizuoka Univ.) AI2014-15 SC2014-12
[more] AI2014-15 SC2014-12
pp.25-30
AI 2013-11-29
14:00
Fukuoka   A Preliminary Analysis on Approximation for Large-Scale Multi-Unit Combinatorial Auctions with Reserve-Price Bidding
Naoki Fukuta (Shiuoka Univ.) AI2013-32
In this paper, I discuss about a preliminary idea and its possible implementation of an approximation of multi-unit comb... [more] AI2013-32
pp.77-82
AI 2011-05-26
14:30
Tokyo Kwansei Gakuin Univ. Tokyo Marunouchi Campus A Preliminary Study on Metadata Estimation Using Similar Images for Clustering Image Search Results
Masaharu Hirota, Naoki Fukuta, Shohei Yokoyama, Hiroshi Ishikawa (Shizuoka Univ.) AI2011-5
 [more] AI2011-5
pp.21-26
AI 2010-09-28
16:00
Kyoto Kyoto Univ. Clock Tower Centennial Hall On Implementing Fast Runtime Engine of Combinatorial Auctions for Practical Applications
Naoki Fukuta (Shizuoka Univ.), Takayuki Ito (Nagoya Inst. Tech.) AI2010-29
Auction mechanisms are demanded to be used for efficient resource allocation and pricing among self-interested entities.... [more] AI2010-29
pp.43-48
DE 2010-06-28
14:15
Aichi Nagoya Univ. Visualization System of a Large-scale Sensing Data Based on Tiled Display Wall
Takashi Nakane, Shohei Yokoyama, Naoki Fukuta, Hiroshi Mineno, Hiroshi Ishikawa (Shizuoka Univ.) DE2010-8
Recently, the BEMS application (Building Energy Management System), which exploits large-scale sensor networks for energ... [more] DE2010-8
pp.39-44
AI 2010-01-22
16:55
Tokyo   Towards Better Image Search Result Presentation Using Photo Metadata and Low-level Image Features
Masaharu Hirota, Shohei Yokoyama, Naoki Fukuta, Hiroshi Ishikawa (Shizuoka Univ.) AI2009-29
In this paper, we propose a method in order to effectively present image search results on the Web.
Social tagging is u... [more]
AI2009-29
pp.61-66
AI 2009-09-25
15:00
Kyoto Kyoto Univ. Clock Tower Towards Approximation Algorithms on Large-scale Multi-unit Combinatorial Auctions
Naoki Fukuta (Shizuoka Univ.), Takayuki Ito (Nagoya Inst. of Tech.) AI2009-14
Multi-unit combinatorial auction is an auction that has some items that can bee seen as indistinguishable. It can be app... [more] AI2009-14
pp.25-30
 Results 1 - 20 of 32  /  [Next]  
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