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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2018-12-07 14:40 |
Fukuoka |  AI2018-28 |
Many researches targeting review of goods and services are doing today. Although research is conducted from various view... [more] | AI2018-28 pp.15-18 |
|
| AI | 2018-12-07 15:30 |
Fukuoka | Evolutionary Multitask Deep Reinforcement Learning in 2D Maze Task Shota Imai, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2018-29 |
In Deep reinforcement learning, it is difficult to converge when the exploration is insufficient or a reward is sparｓe. ... [more] | AI2018-29 pp.19-24 |
|
| AI | 2018-12-07 15:55 |
Fukuoka | Toyoaki Kuwahara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2018-30 |
The emotion estimation by speech makes it possible to estimate with higher precision with the development of deep learni... [more] | AI2018-30 pp.25-29 |
|
| AI | 2018-12-07 16:20 |
Fukuoka | Proposal of Method for Detecting White-of-Eye Region in Grayscale Character Line Drawing for Automatic Colorization Masashi Aizawa, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2018-31 |
Colorizing line drawings requires special skill, experience, knowledge. And artists consume a lot of time and effort in ... [more] | AI2018-31 pp.31-35 |
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| AI | 2018-12-07 16:45 |
Fukuoka | Generation of Curriculum-Based Multiple Choice Questions Using Linked Data Tatsuki Fujii, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2018-32 |
Research on caption generation that modifies the contents of images and moving images with natural language using deep l... [more] | AI2018-32 pp.37-41 |
|
| SP | 2018-08-27 11:35 |
Kyoto | Kyoto Univ. | [Poster Presentation]
An Experimental Study on Transforming the Emotion in Speech using GAN Kenji Yasuda, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) SP2018-26 |
In domain transfer task deep learning has made it possible to generate more natural and highly accurate output. Especial... [more] | SP2018-26 pp.19-22 |
| AI | 2018-07-02 13:50 |
Hokkaido | Generation of Curriculum-Based Multiple Choice Questions Using Linked Data Fumika Okuhara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2018-7 |
In recent years, Landscape leaning is required for learning activities in the entire subject and the relevant subject as... [more] | AI2018-7 pp.35-40 |
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| AI | 2018-07-02 15:50 |
Hokkaido | Transforming the Emotion in Speech using CycleGAN Kenji Yasuda, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2018-11 |
In domain transfer task deep learning makes it possible to generate more natural and highly accurate output. Especially ... [more] | AI2018-11 pp.61-66 |
|
| AI | 2015-06-18 11:05 |
Tokyo | Decision Making Strategy Based on Time Series Data of Voting Behavior: Preliminary Report Shogo Higuchi, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2015-2 |
In gambling such as horse racing, we are sometimes able to peep specific voting behavior by a punter with the advantageo... [more] | AI2015-2 pp.7-11 |
|
| AI | 2013-11-28 16:50 |
Fukuoka | An Algorithm of k-anonymization for Location Information with Errors Yuichi Sei, Akihiko Ohsuga (Univ. of Electro-Comm.) AI2013-26 |
Data mining can support effective marketing or advertisement based on user' attributes such as sex, age, and current loc... [more] | AI2013-26 pp.41-46 |
|
| DE | 2013-09-12 15:20 |
Tokyo | NII、12F Room1208, 1210 | A Proposal of Calculation method of Surprising Value of Recipe Based on Ingredient Kyosuke Ikejiri, Yuichi Sei, Hiroyuki Nakagawa, Yasuyuki Tahara, Akihiko Ohsuga (UEC) DE2013-33 |
Many surprising recipes exist in the user-generated recipe site. However, we cannot find surprising recipes in an easy w... [more] | DE2013-33 pp.1-6 |
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