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Technical Committee on Artificial Intelligence and Knowledge-Based Processing (AI)  (Searched in: 2018)

Search Results: Keywords 'from:2018-12-07 to:2018-12-07'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 13 of 13  /   
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
 Results 1 - 13 of 13  /   
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