Online edition: ISSN 2432-6380
[TOP] | [2017] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [Japanese] / [English]
AI2020-1
Study on Depth Estimation from 4D Light Field Videos
Takahiro Kinoshita, Satoshi Ono (Kagoshima Univ.)
pp. 1 - 6
AI2020-2
Developing an Agent Control Mechanism for Live Performance with Augmented Reality
Hitomi Kataoka, Yuma Ito, Yuki Konaka, Tadachika Ozono, Toramatsu Shintani (NIT)
pp. 7 - 12
AI2020-3
Slide Design Assessment Featuring Visual and Structural Analysis
Shengzhou Yi (UTokyo), Junichiro Matsugami (Rubato), Xueting Wang, Toshihiko Yamasaki (UTokyo)
pp. 13 - 18
AI2020-4
Realizing a Paper Title Generation System Using BERT for Keyword Extraction and Title Evaluation
Kento Kaku, Tadachika Ozono, Toramatsu Shintani (NITech)
pp. 19 - 24
AI2020-5
Preliminary Analysis of Educational Cloud Platforms using Multi-agent Learning.
Kandel Asmita, Naoki Fukuta (Shizuoka Univ.)
pp. 25 - 27
AI2020-6
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.)
pp. 28 - 33
AI2020-7
An Automated Driving Strategy for Microscopic Road Traffic Using Multi-Agent Deep Reinforcement Learning
Ryota Suwa, Toshiharu Sugawara (Waseda Univ.)
pp. 34 - 38
AI2020-8
Preliminary analysis of path planning and environmental recognition for autonomous car parking
Anand Nidhi, Naoki Fukuta (Shizuoka Univ.)
pp. 39 - 42
AI2020-9
Preliminary Analysis on Smart Traffic Control Using Multi-Agent Learning
Raihan MD Golam, Naoki Fukuta (Shizuoka Univ.)
pp. 43 - 45
AI2020-10
A Preliminary Multi-Agent Reinforcement Learning Approach for Responding Dynamic Traffic in Communication Destination Anonymization
Keita Sugiyama, Naoki Fukuta (Shizuoka Univ.)
pp. 46 - 51
AI2020-11
An application of Differentiable Neural Architecture Search to Multimodal Neural Networks
Yushiro Funoki, Satoshi Ono (Kagoshima Univ)
pp. 52 - 56
AI2020-12
Preliminary analysis of recommender-based approach for medical diagnostic problems.
Halim Md Abdul, Naoki Fukuta (Shizuoka Univ.)
pp. 57 - 58
AI2020-13
The detection of the bottleneck within the supply chain from the specific KPI
Yoshiatsu Kawabata, Yuta Hosokawa, Katsuhide Fujita (TUAT)
pp. 59 - 64
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.