Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
LOIS |
2024-03-14 11:40 |
Okinawa |
Okinawa Pref Danjyo-Kyoudou-Sankaku Center (Primary: On-site, Secondary: Online) |
Consideration of ChatGPT and Human Tagging Characteristics in Text Classification Yuta Tokuhiro, Takumi Saiki, Yasuhiko Higaki, Sachiyo Arai (Chiba Univ.) LOIS2023-62 |
We had ChatGPT perform annotation for the purpose of utilizing text data, and verified the characteristics of tags and t... [more] |
LOIS2023-62 pp.84-89 |
MI |
2024-03-04 13:28 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Experimental validation of relationship between training data amount and accuracy of automatic annotation in developing image diagnosis AI Koki Muranaka, Mitsutaka Nemoto, Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami, Yukako Nakamae (Kindai Univ.), Takeharu Yoshikawa (Tokyo Univ.) MI2023-77 |
To reduce the development cost of image diagnosis AI systems, we have studied and proposed an automatic process for crea... [more] |
MI2023-77 pp.149-151 |
LOIS, ICM |
2024-01-25 15:40 |
Nagasaki |
Nagasaki Prefectural Art Museum (Primary: On-site, Secondary: Online) |
A Study of Complementary Recommendation Focused on Functional Aspects Kai Sugahara, Chihiro Yamasaki, Yuma Nagi, Kazushi Okamoto (UEC) ICM2023-31 LOIS2023-35 |
Complementary recommendation is a task of recommending items that should be purchased together with an item. In previous... [more] |
ICM2023-31 LOIS2023-35 pp.17-22 |
HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka |
Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Prototype of interactive gameplay viewing system for annotating highlights
-- Comic-like decorations in real-time -- Takuma Fukui, Ryosuke Yamanishi, Mitsunori Matsushita (Kansai Univ.) |
This paper proposes a prototype of the interactive gameplay viewing system for annotating highlights.
Due to more atten... [more] |
|
NLC |
2023-09-06 13:45 |
Osaka |
Osaka Metropolitan University. Nakamozu Campus. (Primary: On-site, Secondary: Online) |
An Investigation of the Performance of Large-scale Generative Language Models on Subjective and Objective Emotion Estimation Mizuki Tada, Makoto Okada, Naoki Mori (Osaka Metropolitan Univ.) NLC2023-2 |
The cost of annotating datasets is often an issue in natural language processing tasks. One way to reduce costs is to us... [more] |
NLC2023-2 pp.7-11 |
ICM |
2023-03-17 09:50 |
Okinawa |
Okinawa Prefectural Museum and Art Museum (Primary: On-site, Secondary: Online) |
Proposal of annotation method for RPA scenario Uchida Ryo, Misa Fukai, Taisuke Wakasugi, Kimio Tsuchikawa, Haruo Oishi (NTT) ICM2022-52 |
In recent years, work automation using RPA tools has become widespread. People need to read and interpret RPA
scenario... [more] |
ICM2022-52 pp.43-48 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 10:25 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Cell mitosis detection with partial annotation Kazuya Nishimura (Kyushu Univ.), Ami Katanaya, Shinichiro Chuma (Kyoto Univ.), Ryoma Bise (Kyushu Univ.) PRMU2022-67 IBISML2022-74 |
(To be available after the conference date) [more] |
PRMU2022-67 IBISML2022-74 pp.48-53 |
HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa |
Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Development of a collaborative reading annotation system for lecture materials Yusuke Kawamura, Saburo Higuchi (Ryukoku Univ.) |
With the spread of online classes, it has become difficult for students to feel connected to each other while learning, ... [more] |
|
SC |
2022-03-11 09:50 |
Online |
EventIn |
Proposal of Production Site Event Annotation Feature for IIoT Data Utilization Shizhen Hu, Masaharu Ukeda (Hitachi) SC2021-36 |
With the shift to IoT in factories, systems that accumulate and utilize production-related performance data are being in... [more] |
SC2021-36 pp.13-16 |
PRMU, IPSJ-CVIM |
2022-03-11 14:15 |
Online |
Online |
Precise Affordance Annotation for Egocentric Action Video Datasets Zecheng Yu, Yifei Huang, Ryosuke Furuta, Yusuke Goutsu, Yoichi Sato (Univ. of Tokyo) PRMU2021-81 |
Object affordance has attracted a growing interest in computer vision. It is an important concept that builds a bridge b... [more] |
PRMU2021-81 pp.133-138 |
NLC |
2022-03-07 13:50 |
Online |
Online |
Structured Annotations and Analysis of ACL Papers Aya Ishino (HUE), Hiroyuki Shindo (NAIST) NLC2021-33 |
In recent years, the number of scientific and technical papers published has been increasing at an accelerated rate, mak... [more] |
NLC2021-33 pp.30-34 |
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-22 13:15 |
Online |
Online |
Noise-Resistant Learning for Object Detection Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2021-52 IE2021-61 |
Supervised training of object detectors requires well-annotated large-scale datasets, whose production is extremely expe... [more] |
ITS2021-52 IE2021-61 pp.163-166 |
PRMU |
2021-12-17 11:15 |
Online |
Online |
Automatic Video Summarization Using Archive of Edited Videos Haruna Watanabe, Soma Shiraishi, Jun Piao, Katsuhiko Takahashi (NEC), Yu Nabeto (NEC Solution Innovators) PRMU2021-47 |
For the video summarization model, especially in the case of supervised learning methods, it is necessary to have the tr... [more] |
PRMU2021-47 pp.124-129 |
ET |
2021-09-10 11:05 |
Online |
Online |
Development of annotation enhancement teaching materials for online lessons Kenichi Iwai (Shiga Univ.) ET2021-9 |
It has already been a year since the coronavirus crisis began. Under such circumstances, since just taking online lesson... [more] |
ET2021-9 pp.7-10 |
SP, EA, SIP |
2020-03-02 13:00 |
Okinawa |
Okinawa Industry Support Center (Cancelled but technical report was issued) |
The Effectiveness of Additional Context in DNN-based Spontaneous Speech Synthesis Yuki Yamashita, Tomoki Koriyama, Yuki Saito, Shinnosuke Takamichi (UTokyo), Yusuke Ijima, Ryo Masumura (NTT), Hiroshi Saruwatari (UTokyo) EA2019-112 SIP2019-114 SP2019-61 |
In DNN-based speech synthesis, contexts, which are input features of DNN, can be used not only for the representation of... [more] |
EA2019-112 SIP2019-114 SP2019-61 pp.65-70 |
CNR |
2019-06-13 15:40 |
Tokyo |
|
A Survey of Selection Method for Annotation via Communication Robots Tran Quang Khai, Mutsumi Tamai, Ryohei Kagawa, Masahiro Matsunaga (SECOM) CNR2019-3 |
There is a need for using high quality annotations to improve the accuracy of a machine learning model. For example, we ... [more] |
CNR2019-3 pp.13-17 |
AI |
2019-02-22 15:10 |
Tokyo |
|
Active Inference of Variable Labels Using Annotation to Some Variable Labels in Data Jackets Hiroo Iwanaga (UTokyo/NTT DATA MSI), Teruaki Hayashi, Yukio Ohsawa (UTokyo) AI2018-44 |
Data Jacket (DJ) is a framework for sharing summaries of the data and encouraging collaboration and utilization of data ... [more] |
AI2018-44 pp.39-44 |
NLC, IPSJ-IFAT |
2019-02-08 15:25 |
Kyoto |
Ryukoku University Omiya Campus |
Assisting Text Classification for Request Post Analysis Kanji Takahashi, Yuki Okuda (Sansan, Inc.) NLC2018-48 |
We collect customers requests for our own product to improve service. For quantitative analysis, we manually classify th... [more] |
NLC2018-48 pp.69-74 |
MI |
2019-01-22 13:20 |
Okinawa |
|
Deep learning-based segmentation of head anatomical structures using multi-modal images
-- Segmentation accuracy validation for training on a small amount of image data -- Takaaki Sugino, Holger R. Roth, Masahiro Oda (Nagoya Univ.), Taichi kin (Univ. of Tokyo), Kensaku Mori (Nagoya Univ.) MI2018-77 |
This paper proposes a fully convolutional network-based method for segmenting head anatomical structures from multi-moda... [more] |
MI2018-77 pp.65-70 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2018-12-12 16:30 |
Tokyo |
Waseda Univ. Nishiwaseda Campus |
Proposing an Unsupervised Approach to Evaluate Essays Using IDF on Reference Data Masayuki Ohno, Koichi Takeuchi, Kota Motojin, Yuya Obata, Masahiro Taguchi, Yoshihiko Inada, Masaya Iizuka, Tatsuhiko Abo, Hitoshi Ueda (Okayama Univ.) NLC2018-33 |
In this paper, we describe an on-going study of developing an
automatic essay-scoring system in Japanese. Essay scoring... [more] |
NLC2018-33 pp.103-108 |