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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 45  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
AI 2022-12-21
10:40
Fukuoka   Density-based Bias-Free Automatic Chart Generation for Rhythm Games
Zhao Yifan, Tsunenori Mine (Kyushu Univ.) AI2022-35
Automatic chart generation methods for rhythm games often use both acoustic features and difficulty information when bui... [more] AI2022-35
pp.13-17
AI 2022-12-21
11:40
Fukuoka   Modality estimation of reflection texts written in In-house training
Makoto Yamada, Tsunenori Mine (Kyushu Univ.) AI2022-37
In this study, we propose a modality estimation method for the reflection texts written in in-house training programs. B... [more] AI2022-37
pp.24-29
AI 2022-12-21
12:00
Fukuoka   Error analysis based on Authorship Attribution results from employee training review texts
Kanta Takeuchi, Tsunenori Mine (Kyushu Univ) AI2022-38
This study proposes Authorship Attribution method based on the reflection texts as one of the analyses of the reflection... [more] AI2022-38
pp.30-35
AI 2022-12-21
15:30
Fukuoka   Grade estimation from instructor reports using contrastive learning
Kyouhei Ueno, Tsunenori Mine (Kyushu Univ.) AI2022-43
 [more] AI2022-43
pp.56-61
AI 2022-12-21
15:50
Fukuoka   Generating Student Progress Reports in Cram School Based on Keywords
Shumpei Kobashi, Tsunenori Mine (Kyushu Univ) AI2022-44
In many cram schools, instructors write reports on students' progress after each class. The generation of these reports ... [more] AI2022-44
pp.62-67
AI 2022-09-15
13:50
Shizuoka
(Primary: On-site, Secondary: Online)
Identification by report after training
Kanta Takeuchi, Tsunenori Mine (Kyushu Univ) AI2022-19
There is a problem that employees are not able to demonstrate their knowledge and skills in the field because they do no... [more] AI2022-19
pp.7-12
AI 2022-09-15
15:05
Shizuoka
(Primary: On-site, Secondary: Online)
AI2022-22 (To be available after the conference date) [more] AI2022-22
pp.25-30
AI 2021-01-27
13:05
Online Online Feature analysis for score estimation from junior high school students' comments.
Momoko Hosoya, Tsunenori Mine (Kyushu Univ.) AI2020-14
(To be available after the conference date) [more] AI2020-14
pp.1-6
AI 2021-01-27
13:30
Online Online Automatic Short Answer Scoring using Thesaurus-Based Data Augmentation
Hiroyuki Kato (Kyushu Univ.), Tsunenori Ishioka (DNC), Tsunenori Mine (Kyushu Univ) AI2020-15
In the field of natural language processing, the invention of large-scale general-purpose language models such as BERT h... [more] AI2020-15
pp.7-12
AI 2021-01-27
13:55
Online Online Coloration of Emotional Expressions in Texts Based on Hue Circle
Kuniaki Yuba, Tsunenori Mine (Kyushu Univ) AI2020-16
When having a conversation using only text, there is sometimes a discrepancy in emotions when using only the written wor... [more] AI2020-16
pp.13-18
AI 2021-01-27
14:20
Online Online Author identification from photographic images of handmade works
Taisei Tanaka (Kyushu City Univ), Yusuke Miyake, Hiroka Zaitsu (Pepabo Laboratory), Tsunenori Mine (Kyushu City Univ) AI2020-17
 [more] AI2020-17
pp.19-23
ITS, IEE-ITS 2020-03-10
10:30
Shiga Ritsumeikan Univ. (BKC)
(Cancelled but technical report was issued)
SMArch: Software Architecture for Smart Mobility
Tsuneo Nakanishi (Fukuoka Univ.), Yutaka Arakawa, Takahiro Ando, Shigemi Ishida (Kyushu Univ.), Kunihiko Kaneko (Fukuyama Univ.), Shigeaki Tagashira (Kansai Univ.), Kenji Hisazumi, Tsunenori Mine, Akira Fukuda (Kyushu Univ.) ITS2019-59
In this article, the authors present SMArch, a software architecture for smart mobility services which tend to evolve co... [more] ITS2019-59
pp.13-18
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2019-12-04
11:15
Tokyo NHK Science & Technology Research Labs.
Shiori Koga (Kyushu Univ.), Tsunenori Mine (kyushu Univ.), Sachio Hirokawa (Kyushu Univ.) NLC2019-31
Among RNNs, especially LSTM is capable of long-term memory and can be expected to acquire information including better c... [more] NLC2019-31
pp.13-18
AI 2019-11-28
15:15
Fukuoka   Effectiveness of feature selection as pre-processing of LSTM using W2V
Shiori Koga, Tsunenori Mine, Sachio Hirokawa (Kyushu Univ.) AI2019-34
Among RNNs, especially LSTM is capable of long-term memory, and can be expected to acquire information including better ... [more] AI2019-34
pp.25-30
AI 2019-07-22
13:40
Hokkaido   AI2019-8  [more] AI2019-8
pp.39-44
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
KBSE, SS, IPSJ-SE [detail] 2018-07-20
10:30
Hokkaido   Development and Operation of Services for Open Smart Mobility Markets -- Architecture Strategy and Service Supply Chain Management --
Tsuneo Nakanishi (Fukuoka Univ.), Kenji Hisazumi, Takao Ando, Tsunenori Mine, Akira Fukuda (Kyushu Univ.) SS2018-15 KBSE2018-25
The article discusses an architectural strategy to develop and operate information services in the open, dynamic smart m... [more] SS2018-15 KBSE2018-25
pp.183-188
AI 2018-07-02
11:15
Hokkaido   An investigation of prediction accuracy of bus delay time influenced by the amount of training data and the variation of outlier detection
Tsubasa Yamaguchi, Mansur AS, Tsunenori Mine (Kyushu Univ.) AI2018-4
Prediction of bus delay is one of crucial research tasks in the intelligent transport systems (ITS) field, and is import... [more] AI2018-4
pp.15-21
AI 2017-11-24
10:30
Fukuoka   AI2017-7  [more] AI2017-7
pp.1-6
AI 2017-11-24
10:55
Fukuoka   Estimation of Waiting Time of Elevators toward Ito-Campus Guide System
Takuya Hiraoki, Tsunenori Mine (Kyushu Univ) AI2017-8
 [more] AI2017-8
pp.7-12
 Results 1 - 20 of 45  /  [Next]  
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