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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-26 15:34 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | Comparison of Imbalanced Data Handling Techniques in Emotion Estimation of Expressway Service Area Workers using Stacking Ensemble Learners for Complex Decision Boundaries Akihiro Sato, Satoki Ogiso, Ryosuke Ichikari, Takeshi Kurata (AIST)  PRMU2023-47 |
Estimating emotions of workers is promising to promote health and productivity management, while it has difficulty in c... [more] | PRMU2023-47 pp.40-45 |
| PRMU | 2022-09-14 11:00 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Disease and severity classification of coffee leaf images by global low-level feature aggregation network Takuhiro Okada, Satoshi Iizuka, Kazuhiro Fukui (Univ. of Tsukuba) PRMU2022-14 |
Coffee leaf disease is one of the most important problems in coffee production. It is very important in the coffee produ... [more] | PRMU2022-14 pp.25-30 |
| PRMU | 2021-10-09 09:15 |
Online | Online | Cross-modal CycleGAN for Low-Resource Anime Style Face Translation Shiping Deng (Hosei Univ./USTC), Kaoru Uchida (Hosei Univ.) PRMU2021-18 |
Human face to anime face translation has attracted the attention of many researchers in recent years, and various works... [more] |
PRMU2021-18 pp.11-16 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2021-02-19 14:05 |
Online | Online | [Special Talk]
A Note on Discrimination of Road Surface Conditions Based on Deep Learning Using Road Images Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we study the discrimination of road surface conditions based on deep learning using images captured by fi... [more] | |
| MI | 2020-01-29 13:20 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Imbalanced Subarachnoid Hemorrhage data automatic detection by using SMOTE algorithm based on deep learning Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Hayato Ito (Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The Univ of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio Univ School of Medicine), Kensaku Mori (Nagoya Univ) MI2019-75 |
Based on deep learning techniques, the performance of image classification has made significant progress. Especially in ... [more] | MI2019-75 pp.47-52 |
| WIT, SP | 2019-10-26 17:00 |
Kagoshima | Daiichi Institute of Technology | Neural Whispered Speech Detection with Imbalanced Learning Takanori Ashihara, Yusuke Shinohara, Hiroshi Sato, Takafumi Moriya, Kiyoaki Matsui, Yoshikazu Yamaguchi (NTT) SP2019-26 WIT2019-25 |
In this paper, we present a neural whispered-speech detection technique that offers utterance-level classification of wh... [more] | SP2019-26 WIT2019-25 pp.51-56 |
| NLC, IPSJ-DC | 2019-09-27 10:35 |
Tokyo | Future Corporation | Automatic Detection of Unfair Sentences in Terms of Service Keiko Aoyama, Yasuhiro Ogawa, Takahiro Komamizu, Katsuhiko Toyama (Nagoya Univ.) NLC2019-8 |
Many users skip the terms of service (ToS) since they have many sentences and take time to read. However, they may inclu... [more] | NLC2019-8 pp.1-6 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
In-Hospital Mortality Prediction for Trauma Patients Using Cost-Sensitive MedLDA Haruya Ishizuka, Tsukasa Ishigaki, Naoya Kobayashi, Daisuke Kudo, Atsuhiro Nakagawa (Tohoku Univ.) IBISML2018-75 |
In the field of emergency medical care, decision support systems, which support doctors’ judgements, have attracted. Acc... [more] | IBISML2018-75 pp.233-240 |
| ASN, NS, RCS, SR, RCC (Joint) |
2018-07-12 10:55 |
Hokkaido | Hakodate Arena | [Poster Presentation]
Supervised Learning-based Primary Exclusive Region Update Robust Against Imbalanced Data for Spectrum Sharing Aogu Yamada, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ.) RCC2018-44 NS2018-57 RCS2018-102 SR2018-41 ASN2018-38 |
In spectrum sharing, secondary users (SUs) utilize a licensed frequency band under a condition to avoid interference wit... [more] | RCC2018-44 NS2018-57 RCS2018-102 SR2018-41 ASN2018-38 pp.97-98(RCC), pp.103-104(NS), pp.115-116(RCS), pp.107-108(SR), pp.113-114(ASN) |
| MoNA | 2018-01-19 11:40 |
Kyoto | Campus Plaza Kyoto | Machine Learning-based Primary Exclusive Region Update for Spectrum Sharing Aogu Yamada, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ.) MoNA2017-52 |
In spectrum sharing, secondary users (SUs) utilize a licensed frequency band under a condition to avoid interference wit... [more] | MoNA2017-52 pp.63-68 |
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