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 |