Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ICM |
2024-03-22 09:30 |
Okinawa |
Okinawa Prefectural Museum and Art Museum (Primary: On-site, Secondary: Online) |
A study of method for Auto-Generating of Orchestration Application Satoshi Kondoh, Kazuki Aiura, Shingo Omata, Yu Miyoshi (NTT) ICM2023-52 |
In recent years, DX and new business creation using ICT have been actively promoted in various fields. In the past, when... [more] |
ICM2023-52 pp.41-46 |
MI |
2024-03-03 09:29 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Automatic generation of PET/CT images by using large multimodal model Yasushi Hirano, Seiya Konomi, Haku Ishida (Yamaguchi Univ.), Shoji Kido (Osaka Univ.) MI2023-32 |
The purpose of this study was to reduce the workload of radiologists by developing a computer-aided diagnosis (CADx) sys... [more] |
MI2023-32 pp.7-10 |
LOIS, ICM |
2024-01-26 14:40 |
Nagasaki |
Nagasaki Prefectural Art Museum (Primary: On-site, Secondary: Online) |
Proposal for how to output documents from configuration management tools Tomoki Sugimoto, Ichiro Morinaga, Seiji Inomata, Fumiaki Konishi, Hiromi Katayama, Shinsaku Numata (MF) ICM2023-41 LOIS2023-45 |
Documentation is very important in system operation. In recent years, system updates have been greatly automated with th... [more] |
ICM2023-41 LOIS2023-45 pp.75-79 |
ET |
2024-01-20 15:55 |
Kyoto |
Kyoto University Yoshida Campus / Online (Primary: On-site, Secondary: Online) |
Difficulty-Controllable Question Generation of Reading Comprehension incorporating Answerability Evaluation Mechanism Ayaka Suzuki, Masaki Uto (UEC) ET2023-51 |
Question generation (QG) for reading comprehension is a technology for automatically generating questions related to giv... [more] |
ET2023-51 pp.38-44 |
ET |
2023-11-11 09:10 |
Kagawa |
Kagawa University Saiwai-cho (Main) Campus / Online (Primary: On-site, Secondary: Online) |
Joint Generation of Questions and Reference Answers for Reading Comprehension with Difficulty-Controllability Teruyoshi Goto, Yuto Tomikawa, Masaki Uto (UEC) ET2023-24 |
Recently, deep learning techniques have been employed to automatically generate reading comprehension questions tailored... [more] |
ET2023-24 pp.1-7 |
NS |
2023-04-14 11:15 |
Fukushima |
Nihon University, Koriyama Campus + Online (Primary: On-site, Secondary: Online) |
Automatic Test Cases Generation Method by Structuring Specification Documents using Deep Learning Kiyoshi Ueda, Yuya Sato (Nihon Univ.) NS2023-8 |
In the development of large-scale communication software, problems such as high development costs and insufficient manpo... [more] |
NS2023-8 pp.38-43 |
IN, NS (Joint) |
2023-03-03 09:30 |
Okinawa |
Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
A Method for Selecting Training Data using Doc2Vec for Automatic Test Cases Generation Yuto Fujita, Kiyoshi Ueda (Nihon Univ) NS2022-223 |
In software development, research has been conducted to automate the process of extracting test cases for comprehensive/... [more] |
NS2022-223 pp.322-327 |
ICTSSL, CAS |
2023-01-27 11:25 |
Tokyo |
TBD (Primary: On-site, Secondary: Online) |
On automatic illustrations generated by GAN networks Aika Honne, Kazuya Ozawa, Hideaki Okazaki (SIT) CAS2022-83 ICTSSL2022-47 |
In this report, we discuss automatic illustrations generated by GAN networks (adversarial generative networks). First, a... [more] |
CAS2022-83 ICTSSL2022-47 pp.104-107 |
NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 10:40 |
Ishikawa |
The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
A Method for Selecting Training Data using Topic Models and Doc2Vec for Automatic Test Cases Generation Yuto Fujita, Kiyoshi Ueda (Nihon Univ.) NS2022-52 |
In the development of large-scale communication software, due to the increase in development cost and shortage of manpow... [more] |
NS2022-52 pp.121-126 |
DE |
2022-06-25 10:45 |
Tokyo |
Musashino University (Primary: On-site, Secondary: Online) |
Evaluation Method of Product Descriptions Kenji Fukumoto, Risa Takeuchi (Konan Univ.), Hiroyuki Terada (Ochanoko-net), Masafumi Bato (Contact), Akiyo Nadamoto (Konan Univ.) DE2022-3 |
(To be available after the conference date) [more] |
DE2022-3 pp.13-18 |
MI |
2022-01-26 11:05 |
Online |
Online |
Study on automatic generation of COVID-19 related radiology reports from chest CT images Shinji Okazaki, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Masahiro Hashimoto, Masahiro Jinzaki (Keio Univ.), Toshiaki Akashi, Shigeki Aoki (Juntendo Univ.), Kensaku Mori (Nagoya Univ./NII) MI2021-57 |
In this paper, we describe a study on automatic generation of COVID-19 related radiology reports from chest CT images. T... [more] |
MI2021-57 pp.49-54 |
KBSE |
2022-01-20 13:30 |
Online |
Online (Zoom) |
Support for adapting mobile UI to PC environment Ryuya Nishino (Waseda Univ.), Hajime Iwata (Kanagawa Institute of Technology), Junko Shirogane (Tokyo Woman's Christian Univ.), Yoshiaki Fukazawa (Waseda Univ.) KBSE2021-35 |
With the widespread use of mobile devices such as smartphones and tablets, various Internet services are increasingly pr... [more] |
KBSE2021-35 pp.1-6 |
ICM |
2021-03-19 09:50 |
Online |
Online |
Evaluation of automatic generation method of network failure point estimation rule Fumika Asai, Norio Yamamoto, Shunsuke Kanai, Haruhisa Nozue, Kenichi Tayama (NTT) ICM2020-67 |
It is important to identify the suspected failure point quickly in order to realize the early restoration in the failure... [more] |
ICM2020-67 pp.42-47 |
HIP |
2020-12-23 09:30 |
Online |
Online |
Font Generation Support System Reflecting Emotions in Voice Takuto Nonaka, Sho Takizawa, Qiu Chen (Kogakuin Univ.) HIP2020-63 |
Plain text alone cannot be conveying sufficient emotional expression to users. In order to quantitatively express emotio... [more] |
HIP2020-63 pp.50-54 |
NLC |
2020-09-10 10:05 |
Online |
Online |
Extraction of medical technology sentences from the Faculty of Medicine Websites Yuta Sugawara, Kaito Takano, Hiroyuki Sakai (Seikei) NLC2020-2 |
In this research, we propose a method for extracting sentences including medical technology form the faculty of medicine... [more] |
NLC2020-2 pp.7-10 |
MSS, CAS, SIP, VLD |
2020-06-18 13:35 |
Online |
Online |
Characteristic Analyses and Generation of Maximally Asymmetric Functions Hiroshi Kanehagi, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) CAS2020-7 VLD2020-7 SIP2020-23 MSS2020-7 |
Maximally asymmetric functions are discrete functions such that "asymmetry" defined by the minimum Hamming distance from... [more] |
CAS2020-7 VLD2020-7 SIP2020-23 MSS2020-7 pp.35-40 |
DE, IPSJ-DBS, IPSJ-IFAT |
2019-09-10 13:25 |
Tokyo |
Kogakuin University |
An Experiment of Laughter for Cancer Patients using Manzai Robots. Kazuki Yane, Kazuki Haraguchi (Konan Univ.), Akira Sato (OICI), Eiji Aramaki (NAIST), Isao Miyashiro (OICI), Akiyo Nadamoto (Konan Univ.) DE2019-20 |
(To be available after the conference date) [more] |
DE2019-20 pp.29-34 |
RECONF |
2019-05-09 13:25 |
Tokyo |
Tokyo Tech Front |
RECONF2019-3 |
(To be available after the conference date) [more] |
RECONF2019-3 pp.11-16 |
PRMU, BioX |
2019-03-17 10:45 |
Tokyo |
|
Classification of Hand-Written and Computer-Generated Texts Using Distribution of Patch-Wise Character Style Features Naoki Hamasaki, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) BioX2018-32 PRMU2018-136 |
Recently, there have been proposed several methods for generating clone images of handwritten texts resembling a target ... [more] |
BioX2018-32 PRMU2018-136 pp.19-24 |
EA, SIP, SP |
2019-03-14 13:30 |
Nagasaki |
i+Land nagasaki (Nagasaki-shi) |
[Poster Presentation]
Design of automatic soundscape generation with a privacy protection Yoshifumi Chisaki (CIT), Toshiharu Horiuchi (KDDI Research) EA2018-109 SIP2018-115 SP2018-71 |
Soundscape is quite important for our daily life.
Visual information, such as scene, and sound information generated f... [more] |
EA2018-109 SIP2018-115 SP2018-71 pp.61-64 |