Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AI |
2022-12-21 10:00 |
Fukuoka |
|
On the relationship between lyricist-artist entropy and lyricist classification difficulty Mitsuki Morita, Masato Kikuchi, Tadachika Ozono (NITech) AI2022-33 |
Determining a lyricist of a lyric is a more difficult task than an author of a novel. A lyric may contain a mixture of i... [more] |
AI2022-33 pp.1-6 |
AI |
2022-12-21 10:20 |
Fukuoka |
|
AI2022-34 |
(To be available after the conference date) [more] |
AI2022-34 pp.7-12 |
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 11:20 |
Fukuoka |
|
Developing a context-aware tidying-up support system using AR technology Yuna Kaneko, Koki Yasue, Masato Kikuchi, Tadachika Ozono (NIT) AI2022-36 |
To look up things in group spaces effectively, sharing implicit knowledge among group members takes much work. For examp... [more] |
AI2022-36 pp.18-23 |
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 13:50 |
Fukuoka |
|
Visually impaired support system for meal planning using volume estimation based on RGB-D camera Taro Tokui, Yuya Osaki, Yukie Nagano, Daiki Takamura (Keio), Yuichi Nagaoka (TILS), Yoshimune Hiratsuka (Juntendo), Hirotaka osawa, Satoshi Kurihara (Keio) AI2022-39 |
Visually impaired people tend to eat such as "eating one kind of food at a time" or "mixing all the food together" when ... [more] |
AI2022-39 pp.36-41 |
AI |
2022-12-21 14:10 |
Fukuoka |
|
Application of artificial intelligence techniques to multi-modal data obtained in cognitive behavioral therapy and clinical assessment
-- Identification of mental status and estimation of treatment outcomes -- Yuko Shigeeda (NCNP), Takuichi Nishimura (JAIST), Yoshitake Takebayashi (FMU), Jun Kashihara (TU), Seiji Muranaka (OU), Shun Nakajima (NCNP), Shuntaro Aoki (FMU), Chiaki Oshiyama (JAIST), Yoshihiko Kunisato (SU), Daichi Sugawara (ITF), Takumasa Tsuji, Jun'ichi Kotoku (Teikyo), Hitomi Oi, Kaichi Yabe, So Sugita, Noriko Kato, Masaya Ito (NCNP) AI2022-40 |
We are conducting research within the Area of Scientific Transformation (B), "Ultra-high-definition mental health care T... [more] |
AI2022-40 pp.42-45 |
AI |
2022-12-21 14:30 |
Fukuoka |
|
Knowledge structing in Ultra - High - Definition Mental Health Care
-- For adaptation to various clinical contexs -- Chiaki Oshiyama (JAIST), Yuko Shigeeda, Ayaka Toyoda, Noriko Kato, Masaya Ito (NCNP), Takuichi Nishimura (JAIST) AI2022-41 |
In clinical psychology, for problem-solving care, specialists formally and implicitly use their knowledge, including the... [more] |
AI2022-41 pp.46-49 |
AI |
2022-12-21 15:10 |
Fukuoka |
|
Grasping Trends in Major Choice and Specialization Through Clustering of Students Based on Completed Courses Daisuke Suzuki (Hokuriku Univ.) AI2022-42 |
This study aims to grasp trends of students' selection of specialized fields through clustering and visualization of stu... [more] |
AI2022-42 pp.50-55 |
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 |
2022-12-21 16:30 |
Fukuoka |
|
Agent based Modeling and Reinforcement Learning for optimal allocation of resources Rashmi Tilak, Toshiharu Sugawara (Waseda Univ.) AI2022-45 |
We propose a model and notation for business process for delivery of parcels using drones and attempt to improve the tot... [more] |
AI2022-45 pp.68-73 |
AI |
2022-12-21 16:50 |
Fukuoka |
|
Distributed Action Planning and Execution with fluctuated movement for Iterative Multi-agent Path Planning Yuki Miyashita (Shimizu Corp.), Tomoki Yamauchi, Toshiharu Sugawara (Waseda Univ) AI2022-46 |
This study proposes a distributed planning method with asynchronous execution for the multi-agent pick up and delivery (... [more] |
AI2022-46 pp.74-79 |
AI |
2022-12-21 17:10 |
Fukuoka |
|
An Algorithm Combined Grouping and Adding Dummy to Satisfy l-diversity Keiichiro Oishi, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2022-47 |
Universities and companies access personal information databases for a wide range of purposes, and privacy consideration... [more] |
AI2022-47 pp.80-86 |