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Technical Committee on Artificial Intelligence and Knowledge-Based Processing (AI) (Searched in: 2020)
Search Results: Keywords 'from:2020-12-10 to:2020-12-10'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2020-12-10 13:30 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
Study on Depth Estimation from 4D Light Field Videos Takahiro Kinoshita, Satoshi Ono (Kagoshima Univ.)  AI2020-1 |
Depth (disparity) estimation from 4D Light Field (LF) images has been a research topic for the last couple of years. Mos... [more] | AI2020-1 pp.1-6 |
| AI | 2020-12-10 13:55 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
Developing an Agent Control Mechanism for Live Performance with Augmented Reality Hitomi Kataoka, Yuma Ito, Yuki Konaka, Tadachika Ozono, Toramatsu Shintani (NIT) AI2020-2 |
[more] | AI2020-2 pp.7-12 |
| AI | 2020-12-10 14:20 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
Slide Design Assessment Featuring Visual and Structural Analysis Shengzhou Yi (UTokyo), Junichiro Matsugami (Rubato), Xueting Wang, Toshihiko Yamasaki (UTokyo) AI2020-3 |
Appealing design of presentation slides is a great way to make the presentation more attractive and easier to understand... [more] | AI2020-3 pp.13-18 |
| AI | 2020-12-10 15:00 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
Realizing a Paper Title Generation System Using BERT for Keyword Extraction and Title Evaluation Kento Kaku, Tadachika Ozono, Toramatsu Shintani (NITech) AI2020-4 |
It is necessary to create a system that proposes appropriate titles in order to support the creation of titles that accu... [more] | AI2020-4 pp.19-24 |
| AI | 2020-12-10 15:25 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
Preliminary Analysis of Educational Cloud Platforms using Multi-agent Learning. Kandel Asmita, Naoki Fukuta (Shizuoka Univ.) AI2020-5 |
[more] | AI2020-5 pp.25-27 |
| AI | 2020-12-10 15:50 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
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.) AI2020-6 |
This paper examined how willingness to participate in deliberative polls was related with the use of ICT, societal attri... [more] | AI2020-6 pp.28-33 |
| AI | 2020-12-11 09:05 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
An Automated Driving Strategy for Microscopic Road Traffic Using Multi-Agent Deep Reinforcement Learning Ryota Suwa, Toshiharu Sugawara (Waseda Univ.) AI2020-7 |
This study proposes a method for interaction-aware automated driving in microscopic road traffic simulations using multi... [more] | AI2020-7 pp.34-38 |
| AI | 2020-12-11 09:30 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
Preliminary analysis of path planning and environmental recognition for autonomous car parking Anand Nidhi, Naoki Fukuta (Shizuoka Univ.) AI2020-8 |
[more] | AI2020-8 pp.39-42 |
| AI | 2020-12-11 09:55 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
Preliminary Analysis on Smart Traffic Control Using Multi-Agent Learning Raihan MD Golam, Naoki Fukuta (Shizuoka Univ.) AI2020-9 |
[more] | AI2020-9 pp.43-45 |
| AI | 2020-12-11 10:20 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
A Preliminary Multi-Agent Reinforcement Learning Approach for Responding Dynamic Traffic in Communication Destination Anonymization Keita Sugiyama, Naoki Fukuta (Shizuoka Univ.) AI2020-10 |
In this paper, we describe our prototype mechanism using the simulation-based multi-agent reinforcement learning for aut... [more] | AI2020-10 pp.46-51 |
| AI | 2020-12-11 10:55 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
An application of Differentiable Neural Architecture Search to Multimodal Neural Networks Yushiro Funoki, Satoshi Ono (Kagoshima Univ) AI2020-11 |
This paper proposes a method that designs an architecture of a deep neural network for multimodal sequential data using ... [more] | AI2020-11 pp.52-56 |
| AI | 2020-12-11 11:20 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
Preliminary analysis of recommender-based approach for medical diagnostic problems. Halim Md Abdul, Naoki Fukuta (Shizuoka Univ.) AI2020-12 |
[more] | AI2020-12 pp.57-58 |
| AI | 2020-12-11 11:45 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
The detection of the bottleneck within the supply chain from the specific KPI Yoshiatsu Kawabata, Yuta Hosokawa, Katsuhide Fujita (TUAT) AI2020-13 |
[more] | AI2020-13 pp.59-64 |
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