Online edition: ISSN 2432-6380
[TOP] | [2016] | [2017] | [2018] | [2019] | [2020] | [2021] | [2022] | [Japanese] / [English]
AI2019-54
Proposal of Data Augmentation Methods for Echo Sounder Image Analysis
Min Jie, Soichiro Yokoyama, Tomohisa Yamashita, Hidenori Kawamura (Hokudai)
pp. 1 - 5
AI2019-55
Proposition from CNN based feature extraction of multi-channel data through data-colorization technique
Komei Hiruta, Eichi Takaya (Keio Univ.), Kazuki Ito, Hiroki Aramaki (NetOne), Takao Inagaki, Norio Yamagishi (TOYOTA), Satoshi Kurihara (Keio Univ.)
pp. 7 - 12
AI2019-56
Discrimination of EEG Recalling Arrow Symbols and Alphabets by High Frequency Band
Yuya Akama, Seiji Tsuchiya, Hirokazu Watabe (Doshisha)
pp. 13 - 18
AI2019-57
An automatic counter system for cafeterias based on Re-identification technology
Chenyu Dang, Xin Chang, Yanjiao Ao, Hirohiko Suwa, Keiichi Yasumoto (NAIST)
pp. 19 - 24
AI2019-58
State Recognition with In-Cabin Monitoring using Deep Learning
Ryo Kidoguchi, Soichiro Yokoyama, Tomohisa Yamashita, Hidenori Kawamura (Hokudai)
pp. 25 - 30
AI2019-59
Please Fill In
Yuji Yamada (Keio Univ.)
pp. 31 - 36
AI2019-60
Object Placement Recognition Using Depth Camera and Distance Sensor for Autonomous Mobile Robot
Masanori Irie, Hirokazu Watabe, Seiji Tsuchiya (Doshisha)
pp. 37 - 42
AI2019-61
Extraction of strengths and weaknesses of accommodation facilities from reviews
Kazutoshi Hiramoto, Tetsuya Toyota, Kouzou Ohara (Aoyama Gakuin Univ.)
pp. 43 - 48
AI2019-62
A Stylistic Feature-based Analysis of the Inter-/Intra-community Difference in Word Usage in Twitter Communication
Taichi Hayashi, Atsuko Mutoh, Koichi Moriyama, Azusa Yokogoshi, Nobuhiro Inuzuka (NiTech)
pp. 49 - 54
AI2019-63
Improvement of generalization performance in fish species discrimination and catch prediction using echo sounder images
Yuto Mori, Keiji Suzuki, Masaaki Wada (FUN)
pp. 55 - 60
AI2019-64
Construction of Rent Estimation Model for Restaurants using W2VXM
Yukiko Tsuruyama, Hirohiko Suwa (NAIST), Yuki Ogawa (RITS), Yutaka Arakawa (KU), Keiichi Yasumoto (NAIST)
pp. 61 - 66
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.