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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 14:50 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Evaluating the Ranking Performance of Transferable Influencer Identification Methods with a Focus on Follower Counts of Influencers Kota Tahara, Sho Tsugawa (UT)  CQ2023-76 |
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more] | CQ2023-76 pp.32-37 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Improving training recipe of Remixed2Remixed for speech enhancement Li Li, Shogo Seki (CyberAgent) EA2023-95 SIP2023-142 SP2023-77 |
In the use of deep learning for speech enhancement, supervised learning models that use pairs of clean speech and artifi... [more] | EA2023-95 SIP2023-142 SP2023-77 pp.202-207 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Domain adaptation of speech recognition model based on multilingual SSL model with only nonparallel corpus. Takahiro Kinouchi (TUT), Atsunori Ogawa (NTT), Yukoh Wakabayashi (TUT), Kengo Ohta (NITA), Norihide Kitaoka (TUT) EA2023-100 SIP2023-147 SP2023-82 |
Automatic speech recognition (ASR) models are used in various services and businesses, and each domain’s recognition acc... [more] | EA2023-100 SIP2023-147 SP2023-82 pp.232-237 |
| MIKA (3rd) |
2023-10-10 15:35 |
Okinawa | Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
An Evaluation of the Generalizability of Influencer Prediction Models between Social Networks in Different Domains Kota Tahara, Sho Tsugawa (ITF) |
Identifying influencers on social media is one of the important research issues. Various methods for identifying influen... [more] | |
| NLC | 2023-09-06 14:10 |
Osaka | Osaka Metropolitan University. Nakamozu Campus. (Primary: On-site, Secondary: Online) |
Construction and Validation of Pre-trained Language Model Using Corpus of National and Local Assembly Minutes Keiyu Nagafuchi (HU), Eisaku Sato, Yasutomo Kimura (OUC), Kazuma Kadowaki (JRI), Kenji Araki (HU) NLC2023-3 |
In recent years, there has been a surge in pre-trained language models based on the large-scale corpora derived from the... [more] | NLC2023-3 pp.12-17 |
| CQ, MIKA (Joint) (2nd) |
2023-08-30 15:00 |
Fukushima | Tenjin-Misaki Sports Park | [Poster Presentation]
A Study on Generalization of Broker Identification Methods between Social Networks in Different Domains Kota Tahara, Sho Tsugawa (ITF) |
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more] | |
| CQ | 2023-07-12 14:50 |
Hokkaido | (Primary: On-site, Secondary: Online) |
A Study on Influencer Prediction Methods Applicable to Dfferent Domains Kota Tahara, Sho Tsugawa (ITF) CQ2023-12 |
Identifying influencers on social media who can spread information to many other users is one of the important research ... [more] | CQ2023-12 pp.24-29 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-24 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Domain adaptation of speech recognition models based on self-supervised learning using target domain speech Takahiro Kinouchi (TUT), Atsunori Ogawa (NTT), Yuko Wakabayashi, Norihide Kitaoka (TUT) SP2023-19 |
In this study, we propose a domain adaptation method using only speech data in the target domain without using transcrib... [more] | SP2023-19 pp.91-96 |
| MI | 2023-03-06 16:25 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Domain Generalization for Mitosis Detection Yusuke Kurose (U-Tokyo), Yuko Hiroshima, Hiroshi Nanjo (Akita-U), Tatsuya Harada (U-Tokyo) MI2022-93 |
In pathological image analysis, it is known that the existence of inter-institutional differences (domain shift) causes ... [more] | MI2022-93 pp.100-104 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 10:00 |
Hokkaido | Hokkaido Univ. | ITS2022-60 IE2022-77 |
Unsupervised domain adaptation (UDA) is extremely effective for transferring knowledge from a label-rich source domain t... [more] | ITS2022-60 IE2022-77 pp.101-106 |
| SeMI, SeMI (Joint) |
2023-01-19 15:15 |
Tokushima | Naruto grand hotel (Primary: On-site, Secondary: Online) |
[Short Paper]
A Study on Improving the Robustness of Wi-Fi Sensing against Environmental Change Sorachi Kato (OU), Tomoki Murakami (NTT), Takuya Fujihashi, Takashi Watanabe, Shunsuke Saruwatari (OU) SeMI2022-82 |
There is research on invasive sensing of objects using Channel State Information (CSI), which represents the propagation... [more] | SeMI2022-82 pp.49-50 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2022-12-01 15:20 |
Tokyo | (Primary: On-site, Secondary: Online) |
Domain and language adaptation of large-scale pretrained model for speech recognition of low-resource language Kak Soky (Kyoto University), Sheng Li (NICT), Chenhui Chu, Tatsuya Kawahara (Kyoto University) NLC2022-17 SP2022-37 |
The self-supervised learning (SSL) models are effective for automatic speech recognition (ASR). Due to the huge paramete... [more] | NLC2022-17 SP2022-37 pp.45-49 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2022-12-01 15:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
ASR model adaptation to target domain with large-scale audio data without transcription Takahiro Kinouchi, Daiki Mori (TUT), Ogawa Atsunori (NTT), Norihide Kitaoka (TUT) NLC2022-18 SP2022-38 |
Nowadays, speech recognition is used in various services and businesses thanks to the advent of high-performance models ... [more] | NLC2022-18 SP2022-38 pp.50-53 |
| MI | 2022-07-08 16:00 |
Hokkaido | (Primary: On-site, Secondary: Online) |
[Short Paper]
Unsupervised Domain Adaptation for Liver Tumor Detection in Multi-Phase CT images Using Adversarial Learning with Maximum Square Loss Rahul Kumar Jain (Ritsumeikan Univ.), Takahiro Sato, Taro Watasue, Tomohiro Nakagawa (tiwaki), Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Hongjie Hu (Zhejiang Univ.), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-37 |
Liver tumor detection in multi-phase CT images is essential in computer-aided diagnosis. Deep learning has been widely ... [more] | MI2022-37 pp.22-23 |
| MI | 2022-07-08 16:20 |
Hokkaido | (Primary: On-site, Secondary: Online) |
[Short Paper]
Multi-phase CT Image Segmentation with Single-Phase Annotation Using Adversarial Unsupervised Domain Adaptation Swathi Ananda, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua HAN (Yamaguchi Univ.), Lanfen Lin, Hongjie Hu (Zhejiang Univ.), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-38 |
Multi-phase computed tomography (CT) images are widely used for the diagnosis of liver disease, since different phase ha... [more] | MI2022-38 pp.24-25 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 17:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
Cost-effective Framework for Gradual Domain Adaptation with Multifidelity Shogo Sagawa (SOKENDAI), Hideitsu Hino (ISM/RIKEN) NC2022-7 IBISML2022-7 |
In domain adaptation, when there is a large distance between the source and target domains, the prediction performance w... [more] | NC2022-7 IBISML2022-7 pp.61-68 |
| PRMU, IPSJ-CVIM | 2022-03-10 09:15 |
Online | Online | Unsupervised adaptation of appearance-based gaze estimation models for domains with different label distributions. Takuru Shimoyama, Yusuke Sugano (The Univ. of Tokyo) PRMU2021-61 |
The annotation of gaze estimation is time-consuming, and it is not easy to collect training data under the exact same li... [more] | PRMU2021-61 pp.7-12 |
| PRMU, IPSJ-CVIM | 2022-03-11 14:45 |
Online | Online | Hand Segmentation in Egocentric Videos by Combining UMA and MCD Kenichi Suzuki, Katsufumi Inoue, Michifumi Yoshioka (Osaka Prefecture Univ.) PRMU2021-83 |
Domain shift in the egocentric video analysis is caused by the difference between shooting environment of training and t... [more] | PRMU2021-83 pp.145-150 |
| MBE, NC (Joint) |
2022-03-04 14:45 |
Online | Online | EEG classification with Aligners and Adversarial Domain Adaptation for Invariant Feature Extraction and Calibration Across Subjects Tatsuhiro Shiraishi (NAIST), Reinmar Kober, Kazuaki Kawanabe (ATR) NC2021-75 |
Due to non-stationarity and inter-subject difference, conventional machine learning methods are yet to achieve a breakth... [more] | NC2021-75 pp.149-154 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 15:35 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Epileptic Seizure Detection Using Active Learning with Riemannian Manifold Toshiki Orihara, Toshihisa Tanaka (TUAT) EA2021-96 SIP2021-123 SP2021-81 |
In order to realize machine learning for diagnosis, it is necessary to solve the problem that the training model is not ... [more] | EA2021-96 SIP2021-123 SP2021-81 pp.201-206 |
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