Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SS |
2024-03-07 15:25 |
Okinawa |
(Primary: On-site, Secondary: Online) |
SS2023-57 |
While code review plays a crucial role in enhancing software quality, it remains time-consuming. Over the years, various... [more] |
SS2023-57 pp.49-54 |
MI |
2024-03-03 14:00 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Latest Research Trends 2023: Image Segmentation and General Overview of MICCAI Masahiro Oda (Nagoya Univ.), Itaru Otomaru (Canon), Ryo Furukawa (Kindai Univ.), Kensaku Mori (Nagoya Univ.) MI2023-46 |
In this paper, we overview the outlines of MICCAI 2023's main conference sessions and satellite workshops. Several inter... [more] |
MI2023-46 pp.45-49 |
MI |
2024-03-03 14:10 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Latest Research Trends 2023: Computer-Assisted Intervention Ken'ichi Morooka (Kumamoto Univ.) MI2023-45 |
In this paper, we overview the outlines of MICCAI 2023's main conference sessions and satellite workshops. Several inter... [more] |
MI2023-45 pp.43-44 |
MI |
2024-03-03 14:20 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Report of MICCAI 2023: Pathological Image Analysis Ryoma Bise (Kyushu Univ.) MI2023-47 |
This paper provides an overview of particularly interesting research on pathological image analysis presented at the mai... [more] |
MI2023-47 pp.50-52 |
MI |
2024-03-03 14:30 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Latest Research Trends 2023: Machine Learning for Medical Image Processing Fukashi Yamazaki (Canon) MI2023-48 |
In this paper, we overview the outlines of MICCAI 2023’s main conference sessions and satellite workshops. Several inter... [more] |
MI2023-48 pp.53-55 |
HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka |
Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Relationships between product package colors gazed by potential buyers and purchasing motivations Atsushi Furuichi, Tomoko Kajiyama, Akira Hara (Hiroshima City Univ.), Shin'ichi Satoh (NII) |
In purchasing activities of potential customers, to estimate their feelings or preferences based on their gaze informati... [more] |
|
ET |
2023-11-11 10:25 |
Kagawa |
Kagawa University Saiwai-cho (Main) Campus / Online (Primary: On-site, Secondary: Online) |
Review Support System Based on Text Translation and Verbatim Presentation Yuto Aota, Kota Kunori, Tomoko Kojiri (Kansai Univ.) ET2023-27 |
When creating a text, it is necessary to review whether the text contains the information that are enough to conveys the... [more] |
ET2023-27 pp.17-21 |
SDM |
2023-11-09 10:30 |
Tokyo |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
SISPAD 2023 Review Hajime Tanaka (Osaka Univ.) SDM2023-62 |
The 2023 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD 2023), which focuses on t... [more] |
SDM2023-62 pp.1-6 |
AI |
2023-09-12 16:30 |
Hokkaido |
|
Exploring the Potential of LLM for Review-driven Goal Model Generation Shuaicai Ren, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya (Osaka Univ.) AI2023-20 |
User reviews play a crucial role for developers as they contain expectations regarding new features and bug reports. The... [more] |
AI2023-20 pp.109-116 |
NLC |
2023-09-06 15:30 |
Osaka |
Osaka Metropolitan University. Nakamozu Campus. (Primary: On-site, Secondary: Online) |
Rating Prediction of Multi-aspect Reviews Using Multi-task Learning Framework Masaki Takeo, Shinnosuke Kawasaki, Kazutaka Shimada (Kyutech) NLC2023-4 |
In this paper, we propose a method for rating prediction tasks in review documents.
Existing models for predicting the ... [more] |
NLC2023-4 pp.18-23 |
NLC |
2023-09-07 10:45 |
Osaka |
Osaka Metropolitan University. Nakamozu Campus. (Primary: On-site, Secondary: Online) |
Ramen Restaurant Recommendation System by Automatic Generation of Reviews Yota Amano, Kengo Enami, Hiroyuki Sakai (SEIKEI Univ.) NLC2023-10 |
In this research, we propose a method for recommending ramen restaurants by automatically generating reviews. Our method... [more] |
NLC2023-10 pp.51-56 |
DE |
2023-06-16 09:10 |
Tokyo |
Musashino University (Primary: On-site, Secondary: Online) |
A POI recommendation method with explanatory nature for user's purpose based on online review information Hajjime Katayama, Taketoshi Ushiama (Kyushu Univ.) DE2023-2 |
In this study, we propose a method in which the purpose of searching for a POI is entered as a query, and a POI suitable... [more] |
DE2023-2 pp.7-12 |
SS |
2023-03-14 18:25 |
Okinawa |
(Primary: On-site, Secondary: Online) |
A feature analysis of merged change requests on a version Mizuki Uenaka, Akinori Ihara (Wakayama Univ.), Yutaro Kashiwa (NAIST) SS2022-60 |
Large software development projects have a large number of the source code change requests on a daily basis. Developers ... [more] |
SS2022-60 pp.79-84 |
MI |
2023-03-06 10:45 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Report on MICCAI 2022 Hayato Itoh, Masahiro Oda, Chen Shen, Cheng Wang (Nagoya Univ.), Kanta Miura (Tohoku Univ.), Junya Sato (Osaka Univ.), Yoshito Otake (NAIST), Ryoma Bise (Kyushu Univ.), Ryo Furukawa (Kindai Univ.), Hidekata Hontani (NITech), Yoshitaka Masutani (Tohoku Univ.), Kensaku Mori (Nagoya Univ.) MI2022-79 |
In this paper, we overview the outlines of MICCAI 2022’s main conference sessions and satellite workshops. Several inter... [more] |
MI2022-79 pp.26-37 |
KBSE |
2023-01-20 13:00 |
Ishikawa |
(Primary: On-site, Secondary: Online) |
A study for using deep learning inference results of program defects in code review checklists Kazuhiko Ogawa, Takako Nakatani (OUJ) KBSE2022-51 |
In system development, various efforts are made to improve the quality of programs.
One of these efforts is code review... [more] |
KBSE2022-51 pp.46-51 |
MSS, SS |
2023-01-11 14:20 |
Osaka |
(Primary: On-site, Secondary: Online) |
A Systematic Review of Source Code Coverage Metrics: Preliminary Results Masayuki Taniguchi, Shinsuke Matsumoto, Shinji Kusumoto (Osaka Univ.) MSS2022-58 SS2022-43 |
Software testing plays an essential role in software quality assurance. It helps developers to reveal and remove bugs in... [more] |
MSS2022-58 SS2022-43 pp.78-83 |
SDM |
2022-11-11 16:15 |
Online |
Online |
[Invited Talk]
SISPAD2022 Review Satofumi Souma (Kobe Univ.) SDM2022-77 |
The 27th International Conference on Simulation of Semiconductor Processes and Devices (SISPAD 2022)
was held on Septe... [more] |
SDM2022-77 pp.61-67 |
SS, IPSJ-SE, KBSE [detail] |
2022-07-30 10:30 |
Hokkaido |
Hokkaido-Jichiro-Kaikan (Sapporo) (Primary: On-site, Secondary: Online) |
The Use of Review Effort Objective for Search-based Refactoring Recommendation Lei Chen, Shinpei Hayashi (Tokyo Tech) SS2022-18 KBSE2022-28 |
Search-based refactoring is to search for a sequence of refactorings that achieves a specific objective. Although a typi... [more] |
SS2022-18 KBSE2022-28 pp.103-108 |
AI |
2022-07-04 15:40 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Developing a Part-Oriented Aspect Term Extractor for Part-Specific Review Classification Shogo Anda, Masato Kikuchi, Tadachika Ozono (NIT) AI2022-13 |
Aspect term extraction is the extraction of terms representing entities and attributes in the target domain of sentiment... [more] |
AI2022-13 pp.66-71 |
R |
2022-05-28 13:00 |
Online |
Online |
Correlation analysis of reviewer rating trends and trustworthiness on EC site Ryohei Suzuki, Iifan Tyou, Naoto Kiribuchi, Nami Ashizawa (NTT), Kazutoshi Sasahara (Tokyo Tech) R2022-1 |
E-commerce sites have a system to evaluate the reputation of products by the number of stars and reviews. When purchasin... [more] |
R2022-1 pp.1-6 |