Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 10:20 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Exploring the impressions formed from age-specific product descriptions generated by ChatGPT Tatsuya Maseki, Rintaro Chujo, Ari Hautasaari, Yoshihiro Kawahara, Takeshi Naemura (Tokyo Univ.) IMQ2023-26 IE2023-81 MVE2023-55 |
This study explores the generation of product descriptions on flea market apps that take into account the reader’s age g... [more] |
IMQ2023-26 IE2023-81 MVE2023-55 pp.75-80 |
RCC, ISEC, IT, WBS |
2024-03-14 16:35 |
Osaka |
Osaka Univ. (Suita Campus) |
Construction of an MDL Estimator with Tight Risk Bound in Simple ReLU Networks Yoshinari Takeishi, Jun'ichi Takeuchi (Kyushu Univ.) IT2023-134 ISEC2023-133 WBS2023-122 RCC2023-116 |
We consider the problem of estimating the parameters of the final layer in two-layer neural networks with ReLU activatio... [more] |
IT2023-134 ISEC2023-133 WBS2023-122 RCC2023-116 pp.368-373 |
NC, MBE (Joint) |
2024-03-12 10:50 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Data Description Formats for Efficient Reverse Engineering of Brain Computational Functions Hiroshi Yamakawa, Yoshimasa Tawatsuji (Tokyo Univ.), Tatsuya Miyamoto (Waseda Univ.), Naoya Arakawa, Yuta Ashihara, Ayako Fukawa (WBAI), Koichi Takahashi (RIKEN), Yutaka Matsuo (Tokyo Univ.) NC2023-52 |
In the current situation where neuroscience knowledge is still insufficient, a bidirectional design that integrates both... [more] |
NC2023-52 pp.53-58 |
IBISML |
2023-12-20 16:25 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
Anomaly detection by deep support data descriptions with pseudo-anomaly data Shuta Tsuchio, Takuya Kitamura (NIT, Toyama college) IBISML2023-34 |
This paper presents deep support vector data description (DSVDD) with pseudo-anomaly data that generated by generative m... [more] |
IBISML2023-34 pp.25-30 |
NLC, IPSJ-NL |
2023-03-18 10:45 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Variable Description Prediction Method Based on Nomenclature in Chemical Engineering Domain Papers Shota Kato, Manabu Kano (Kyoto U.) NLC2022-21 |
Digital twins require a physical model, but physical model building requires significant effort. To streamline the arduo... [more] |
NLC2022-21 pp.12-15 |
NLC, IPSJ-NL |
2023-03-18 11:05 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Estimating Named Entity Label Representation for Generative Low-Resource NER Yuya Sawada (NAIST), Hiroki Teranishi (RIKEN AIP), Hiroki Ouchi (NAIST), Yuji Matsumoto (RIKEN AIP), Taro Watanabe (NAIST) NLC2022-22 |
Named entity recognition (NER) system needs to identify the entities of novel entity types with fewer examples. Few-shot... [more] |
NLC2022-22 pp.16-21 |
WIT, HI-SIGACI |
2022-12-08 14:30 |
Tokyo |
AIST Tokyo Waterfront (TBD) |
Discrepancies between Film Audio Descriptions Created by Professional and Novice Describers Ryohei Kuriyama, Sawako Nakajima, Kazutaka Mitobe (Akita Univ.) WIT2022-11 |
In recent years, a research on the production method of audio descriptions (ADs) to help people with visual impairment i... [more] |
WIT2022-11 pp.41-46 |
KBSE |
2022-03-09 12:30 |
Online |
Online (Zoom) |
Extending Traverser for defining use cases from a conceptual model Takako Nakatani (OUJ), Kazuaki Sato (Nanohana Systems), Osamu Shigo (Tokyo Denki University) KBSE2021-41 |
Software systems have become indispensable to our daily lives.
Thus, we have to consider the importance of UX (User eXp... [more] |
KBSE2021-41 pp.1-6 |
SS |
2022-03-07 13:40 |
Online |
Online |
A Method to Generate a CCS Process from Algebraic Data Transfer Architecture Model Shinji Kageyama, Naoya Nitta (Konan Univ.) SS2021-47 |
Deciding in which style, push or pull, the data should be transferred between software components generally has great im... [more] |
SS2021-47 pp.31-36 |
VLD, HWS [detail] |
2022-03-08 11:25 |
Online |
Online |
A Method for Automatic Test Pattern Generation using an SMT Solver for HDL Code Ryoichi Isawa, Nobuyuki Kanaya, Yoshitada Fujiwara, Tatsuta Takehisa, Hayato Ushimaru, Dai Arisue, Daisuke Makita, Satoshi Mimura, Daisuke Inoue (NICT) VLD2021-95 HWS2021-72 |
(To be available after the conference date) [more] |
VLD2021-95 HWS2021-72 pp.105-110 |
AI |
2021-12-13 11:15 |
Fukuoka |
Aimattain Hakata station (Primary: On-site, Secondary: Online) |
Embedding Models for Logical Inference on Individuals and Subsumption Relations Yukihiro Shiraishi, Ken Kaneiwa (UEC) AI2021-4 |
Knowledge graph embeddings are limited to predicting missing links. The embedding model EmEL++ can infer logical relatio... [more] |
AI2021-4 pp.18-23 |
WIT, HI-SIGACI |
2021-12-09 13:25 |
Online |
Online |
Acceptability of Distributed Audio Descriptions Complementing Live TV Sports Programs through Practical Experiment Manon Ichiki, Masaru Miyazaki (NHK), Atsushi Imai, Tohru Takagi (NHK-ES) WIT2021-37 |
We are conducting research with the aim of realizing a new type of audio descriptions with the aim of further enhancing ... [more] |
WIT2021-37 pp.28-33 |
WIT |
2021-06-01 14:55 |
Online |
Online |
The relationship between speech rate and environmental noise in synthesized speech for easy listening of movie audio discription Takeya Naono, Sawako Nakajima, Kazutaka Mitobe (Akita Univ) WIT2021-8 |
In recent years, speech synthesis has been used for audio description of movies and videos, and there is a need to impro... [more] |
WIT2021-8 pp.38-42 |
TL |
2020-10-25 12:30 |
Online |
Online |
[Invited Talk]
Naming Foods and Describing Food Memories
-- Verbalizing Delicious Eating Experiences -- Nami Fukutome (Tokyo Seiei Col.) TL2020-1 |
In this presentation, the relationship between food, eating behavior, and linguistic expression will be examined from th... [more] |
TL2020-1 pp.1-5 |
CS, IN, NS, NV (Joint) |
2020-09-11 14:10 |
Online |
Online |
A study on IoT service composition method based on service description with high abstraction Kousuke Wamuro, Gen Kitagata, Gou Hasegawa (Tohoku Univ.) IN2020-28 |
In this report, we consider a service composition method that allows users with little knowledge of IoT to easily use se... [more] |
IN2020-28 pp.37-42 |
KBSE, SC |
2019-11-08 16:40 |
Nagano |
Shinshu University |
A tool for genarating class diagrams using Japanese requirements documents Tatsunosuke Okazaki, Takayuki Omori, Atsushi Ohnishi (Ritsumeikan univ.) KBSE2019-32 SC2019-29 |
The purpose of this research is to generate a class diagram semi-automatically from a Japanese requirements description ... [more] |
KBSE2019-32 SC2019-29 pp.53-58 |
ISEC, SITE, LOIS |
2019-11-01 16:20 |
Osaka |
Osaka Univ. |
A study on open data processing and its applications Toshihiko Wakahara, Akihisa Kodate, Takahisa Suzuki, Yoshinori Sakai, Noboru Sonehara (Tsuda Univ.) ISEC2019-73 SITE2019-67 LOIS2019-32 |
With the advancement of Internet technology, open data has been progressed and anyone can use it freely, and redistribut... [more] |
ISEC2019-73 SITE2019-67 LOIS2019-32 pp.79-83 |
WIT, SP |
2018-10-28 09:25 |
Fukuoka |
Kyushu Institute of Technology(Kitakyushu) |
Timing determination method to insert an automated audio description in live television broadcast Manon Ichiki, Tadashi Kumano, Atsushi Imai (NHK), Tohru Takagi (NHK-ES) SP2018-41 WIT2018-29 |
We are conducting research on "automated audio description (ADD)" which automatically generates audio descriptions for v... [more] |
SP2018-41 WIT2018-29 pp.45-50 |
RECONF |
2018-09-18 14:50 |
Fukuoka |
LINE Fukuoka Cafe Space |
Data Flow Representation and its Applications to Machine Learning Accelerator Kazuki Nakada (Tsukuba Univ. of Tech.), Keiji Miura (Kwansei Gakuin Univ.) RECONF2018-32 |
Researches and development of machine learning accelerators have been rapidly progressing. It is becoming important to r... [more] |
RECONF2018-32 pp.73-78 |
TL |
2018-06-17 17:30 |
Hyogo |
Kobe Gakuin University (Port Island Campus) |
Elucidation of the Functions of the Synonymous Onomatopoeia of "shikkari" , "chanto", and "kichinto"
-- From the perspective of Japanese education -- Jingxin Zhang (Kobe Univ) TL2018-9 |
Understanding the functions of synonymous onomatopoeia can be a major problem in learning Japanese language for Japanese... [more] |
TL2018-9 pp.47-52 |