Online edition: ISSN 2432-6380
[TOP] | [2016] | [2017] | [2018] | [2019] | [2020] | [2021] | [2022] | [Japanese] / [English]
AI2019-30
A proposal of a method for analyzing causes of incorrect detection when detecting objects using Deep Learning
Tomonori Kubota, Takanori Nakao, Eiji Yoshida (Fujitsu Lab.)
pp. 1 - 6
AI2019-31
On a Method for Constructing a Mahjong Tile Detector from Abstract Training Data
Ryosuke Suzuki, Tadachika Ozono, Toramatsu Shintani (NIT)
pp. 7 - 12
AI2019-32
Realizing a Video Editing System for Flipped Classrooms with AR Puppets
Hitomi Kataoka, Tadachika Ozono, Toramatsu Shintani (NIT)
pp. 13 - 18
AI2019-33
Action Planning considering State of Agents for Multi-Agent Pickup and Delivery
Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara (Waseda Univ.)
pp. 19 - 24
AI2019-34
Effectiveness of feature selection as pre-processing of LSTM using W2V
Shiori Koga, Tsunenori Mine, Sachio Hirokawa (Kyushu Univ.)
pp. 25 - 30
AI2019-35
Emotion Learning from Emotion Tags and Comparative Experience with LSTM and GRU
-- Heading toward Sublimation from Desktop Mascot to AI Agent --
Kuniaki Yuba, Eisuke Ito (Kyudai)
pp. 31 - 36
AI2019-36
Keisuke Ikeda, Kazufumi Kojima, Masahiro Tani (NEC Corporation)
pp. 37 - 42
AI2019-37
Prediction of Gene Mutation Position by Machine Learning and Feature Selection
Sachio Hirokawa (Kyushu Univ.), Tetsuji Kuboyama (Gakushin Univ.), Koichi Hirata (Kyutech)
pp. 43 - 45
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.