Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AI |
2018-12-07 13:00 |
Fukuoka |
|
Feature Selection for Document Classification focused on Support Vector Kota Sakasegawa, Sachio Hirokawa (Kyushu Univ.) AI2018-25 |
Feature selection is a well-known approach for improving the prediction performance of document classifcation, where cru... [more] |
AI2018-25 pp.1-4 |
AI |
2018-12-07 13:25 |
Fukuoka |
|
Related Term Suggestion for Bibliographic Retrieval in Informatics Michiko Yasukawa (Gunma Univ.) AI2018-26 |
To find important research papers, users need assistance with effective search clues. We propose a novel framework of re... [more] |
AI2018-26 pp.5-10 |
AI |
2018-12-07 13:50 |
Fukuoka |
|
Interview Mining of Librarian, Archivist and Curator Zou Yuehan, Kanakawa Kumiko, Tosaki Yusuke, Nakato Tetsuya, Sachio Hirokawa (Kyushu Univ.) AI2018-27 |
[more] |
AI2018-27 pp.11-14 |
AI |
2018-12-07 14:15 |
Fukuoka |
|
A prototype of chatbot with human like emotional and characteristic response Kuniaki Yuba, Eisuke Ito (Kyushu Univ.) |
[more] |
|
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 |
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 |
AI |
2018-12-08 10:00 |
Fukuoka |
|
A wedding hall recommender system based on the information-gathering process of a cold start user Yuta Yamashita, Junichiro Mori (The Univ of Tokyo) AI2018-33 |
ItisanimportantissueinaWebservicetopredictuser’sconversionfromtheactionhistory.InWedding services, few users make reserv... [more] |
AI2018-33 pp.43-47 |
AI |
2018-12-08 10:25 |
Fukuoka |
|
A BLE-based Recommendation Method of Elevators by Estimating Waiting Time of the Elevators Takuya Hiraoki, Tsunenori Mine (Kyushu Univ) AI2018-34 |
When moving in a building, we have experienced that selecting the
elevator nearest from the current position sometimes ... [more] |
AI2018-34 pp.49-54 |
AI |
2018-12-08 10:50 |
Fukuoka |
|
Developing a Real-World Task Support System Requiring Recognizing Many Symbols by Using Machine Learning and AR Technologies Ryosuke Suzuki, Tadachika Ozono, Toramatsu Shintani (NITech) AI2018-35 |
[more] |
AI2018-35 pp.55-60 |
AI |
2018-12-08 11:15 |
Fukuoka |
|
Implementing a Mechanism of Support for Editing Effects on AR Pop-up Picture Books Hitomi Kataoka, Tadachika Ozono, Toramatsu Shintani (NITech) AI2018-36 |
Digital picture books that improve children’s interest are often used to help children get into the reading habits. We h... [more] |
AI2018-36 pp.61-66 |