Online edition: ISSN 2432-6380
[TOP] | [2016] | [2017] | [2018] | [2019] | [2020] | [2021] | [2022] | [Japanese] / [English]
AI2019-1
Automatic Generation of Training Data for Scene Labeling using Deep Neural Network
Yuichiro Motegi, Makoto Murakami (Toyo Univ.)
pp. 1 - 5
AI2019-2
(See Japanese page.)
pp. 7 - 8
AI2019-3
Human Motion Generative Model using Generative Adversarial Networks
Ayumi Shiobara, Makoto Murakami (Toyo Univ.)
pp. 9 - 14
AI2019-4
Review analysis using interpretation method of machine learning
Takayuki Onongawa, Yuichi Sei, Yasuyuki Tahara, Ryohei Orihara, Akihiko Ohsuga (UEC)
pp. 15 - 19
AI2019-5
An Efficient Graph Sequence Clustering by Merging Vertices and Deleting Edges
Yoshitaka Kimura, Akihiro Inokuchi (Kwansei Gakuin Univ.)
pp. 21 - 26
AI2019-6
Developing an Extended Support Mechanism of an Effect Editor for AR Pop-up Picture Books
Hitomi Kataoka, Tadachika Ozono, Toramatsu Shintani (NIT)
pp. 27 - 32
AI2019-7
(See Japanese page.)
pp. 33 - 38
AI2019-8
(See Japanese page.)
pp. 39 - 44
AI2019-9
Predicting Issue Weights and Detecting Breakdowns in Negotiation Dialogue
Atsuki Yamaguchi (TUAT), Kosui Iwasa (DeNA), Katsuhide Fujita (TUAT)
pp. 45 - 50
AI2019-10
Strategy using psychological effects for multi-round human-agent negotiation
Shogo Matsushita, Fujita Katsuhide (TUAT)
pp. 51 - 56
AI2019-11
Bandit-Based Strategy Selection for Multi-Time Negotiation
Ryohei Kawata, Katsuhide Fujita (TUAT)
pp. 57 - 62
AI2019-12
(See Japanese page.)
pp. 63 - 64
AI2019-13
(See Japanese page.)
pp. 65 - 70
AI2019-14
A Recommendation System using Auto-encoders for Data Divided on Item Densities
Go Tanioka, Akihiro Inokuchi (KGU)
pp. 71 - 75
AI2019-15
Modeling of Cyber Attack Based on POMDP
Kazuma Igami, Hirofumi Yamaki (Tokyo Denki Univ.)
pp. 77 - 82
AI2019-16
Investigation of Generating Dataset for Recognizing Figures on Augmented Reality
Ryosuke Suzuki, Tadachika Ozono, Toramatsu Shintani (Nitech)
pp. 83 - 88
AI2019-17
Construction of Business-IT Alignment Model for AI Service System
Hironori Takeuchi (Musasi Univ.), Shuichiro Yamamoto (Nagoya Univ.)
pp. 89 - 94
AI2019-18
A Study on Sampling Efficiency of Active Sampling Using Gaussian Process Regression for Warehouse Capacity Planning in Joint Replenishment Problem
Hiroshi Suetsugu, Yoshiaki Narusue, Hiroyuki Morikawa (UTokyo)
pp. 95 - 100
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.