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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-16 16:50 |
Tottori | (Primary: On-site, Secondary: Online) |
On Food Plant Classification from Luehdorfia Japonica Images using Multi-label Classification ABN Tsubasa Hirakawa, Takaaki Arai, Takayoshi Yamashita, Hironobu Fujiyoshi, Yuichi Oba, Hiromichi Fukui (Chubu Univ.), Masaya Yago (Tokyo Univ.)  PRMU2023-27 |
Butterfly is a familiar taxon. Because of the abundance of specimens and the ease of comparison between specimens, regio... [more] | PRMU2023-27 pp.62-67 |
| MI | 2023-03-06 09:57 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Multi-label multi-class estimation of pathology in high-resolution chest CT images using SRGAN Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-76 |
The purpose of this research, three pathologies (thickening, calcification, and cavitation) were accurately estimated as... [more] | MI2022-76 pp.14-19 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 10:45 |
Hokkaido | Hokkaido Univ. | Classification of illustration images by mood using a combination of supervised and unsupervised learning Keisuke Kubota, Masahiro Okuda (Doshisha Univ.) ITS2022-45 IE2022-62 |
With the spread of animation, games, and animated movies, users are increasingly drawing and posting illustrations on so... [more] | ITS2022-45 IE2022-62 pp.19-24 |
| NLC, IPSJ-ICS | 2022-07-08 15:55 |
Online | Online | Topic Classification of Kyutech Corpus by Machine Learning Shinnosuke Kawasaki, Kazutaka Shimada (Kyutech) NLC2022-3 |
Discussion summarization is one of the most important tasks for discussion analysis. Utterances in a discussion contain... [more] |
NLC2022-3 pp.13-18 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2021-12-03 16:10 |
Online | Online | Label smoothing with co-occurrences information for multi-label classification Yuki Yasuda, Taichi Ishiwatari, Taro Miyazaki, Jun Goto (NHK) NLC2021-27 SP2021-48 |
Imbalanced learning is one of the big issues in multi-label classification task. Training models using such imbalanced d... [more] | NLC2021-27 SP2021-48 pp.48-53 |
| MI | 2021-03-16 09:15 |
Online | Online | Tuberculosis in Chest CT Image Analysis based on multi-axis projections using Deep learning Tetsuya Asakawa, Masaki Aono (Toyohashi Univ) MI2020-64 |
The purpose of this research is to make accurate estimates for the six labels (Left affected, Right affected, Light ple... [more] | MI2020-64 pp.74-79 |
| SP | 2019-08-28 17:00 |
Kyoto | Kyoto Univ. | Speech Emotion Classification based on Multi-Label Emotion Existence Estimation Atsushi Ando, Ryo Masumura, Hosana Kamiyama, Satoshi Kobashikawa, Yushi Aono (NTT) SP2019-16 |
This paper presents a novel speech emotion classification that addresses the ambiguous nature of emotions in speech. Mos... [more] | SP2019-16 pp.39-44 |
| NLC, IPSJ-DC | 2018-09-07 13:10 |
Tokyo | Seikei University | Short text categorization with fine-tuning Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto (Univ of Yamanashi) NLC2018-20 |
We propose an approach for multi-label categorization of short texts and explore the use of a hierarchical structure (HS... [more] | NLC2018-20 pp.73-78 |
| PRMU | 2017-10-12 14:30 |
Kumamoto | Generalized Subclass Method for Multi-label Classification Batzaya Norov-Erdene, Mineichi Kudo (Hokkaido Univ.) PRMU2017-74 |
Multi-label classification (MLC) problems are emerging in medical diagnosis, web page annotation, image annotation, etc.... [more] | PRMU2017-74 pp.67-72 |
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| ITS, IE, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2016-02-23 10:15 |
Hokkaido | Hokkaido Univ. | Refinement of Multi-Label Classification Results using Class Relations Based on Higher-Order MRF Ryosuke Furuta, Yusuke Fukushima, Toshihiko Yamasaki, Kiyoharu Aizawa (UT) ITS2015-76 IE2015-118 |
In multi-label classi cation problems, in which multiple labels are estimated for an input data, the simplest way is to ... [more] | ITS2015-76 IE2015-118 pp.241-246 |
| IBISML | 2013-03-05 15:40 |
Aichi | Nagoya Institute of Technology | Hierarchical Multi-label Classification on Statistical Decision Theory Kiyohito Yamamoto, Tota Suko, Toshiyasu Matsushima (Waseda Univ.) IBISML2012-107 |
This paper considers multi-label classification on statistical decision theory. In Label Power Set format, multi-label c... [more] | IBISML2012-107 pp.101-106 |
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