Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380
[TOP] | [2013] | [2014] | [2015] | [2016] | [2017] | [2018] | [2019] | [Japanese] / [English]
AI2016-12
Extraction of Current Actual Status and Demand Expressions in Community Complaint Reports
Yuta Sano, Tsunenori Mine (Kyushu Univ.)
pp. 1 - 6
AI2016-13
Prediction of Business Results from Sales Reports Focused on the Usage of Synonyms
Nao Wariishi, Kazuhisa Noguchi, Takahiko Suzuki, Sachio Hirokawa (Kyushu Univ.)
pp. 7 - 11
AI2016-14
Estimation of Vocuburaly based on Item Response Theory
Kazuhisa Noguchi, Brendan Flanagan, Sachio Hirokawa (Kyushu Univ.)
pp. 13 - 16
AI2016-15
Play Estimation Based on Player's View in American Football
Hana Miwa, Yasuhiko Kitamura (Kwansei Gakuin Univ.)
pp. 17 - 22
AI2016-16
[Special Talk]
Computer-based Writing Tests
-- From the point of view of artificial intelligence utilization --
Tsunenori Ishioka (NCUEE)
pp. 23 - 25
AI2016-17
Interactive Visualization System of Contexts
Nao Wariishi, Kazuhisa Noguchi (Kyushu Univ.), Akira Aiba (Shibaura Inst. Tech.), Takahiko Suzuki, Sachio Hirokawa (Kyushu Univ.)
pp. 27 - 32
AI2016-18
Mahoca: Reality-based e-Sticky Notes for Reusing Discussion Cases
Tadachika Ozono, Yusuke Niwa, Shotaro Fujie, Masato Watanabe, Tomoya Suzuki, Eishun Ito, Satoru Iwata, Toramatsu Shintani (NIT)
pp. 33 - 38
AI2016-19
A platform of sharing and recommending information at a local community area
Shiro Mise, Tsunenori Mine, Hiroyuki Nakamura (Kyushu Univ)
pp. 39 - 42
AI2016-20
Communication behavior analysis using BLE and smartphone sensor information
Masaki Maruta, Tsunenori Mine (Kyushu Univ.)
pp. 43 - 48
AI2016-21
Applying reinforcement learning to multi-agent patrolling with priority setting
Harunobu Ozeki, Ayumi Sugiyama, Toshiharu Sugawara (Waseda Univ.)
pp. 49 - 54
AI2016-22
Reinforcement Learning using Filter and Coarse-Grained States in Multiagent Exploration Problems
Takahisa Yutoku, Ayumi Sugiyama, Toshiharu Sugawara (Waseda Univ.)
pp. 55 - 60
AI2016-23
Incentive design in crowdsourcing as a multi-armed bandit problem
-- A case of more than one requesters --
Shigeo Matsubara, Akihiko Itoh (Kyoto Univ.)
pp. 61 - 66
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.