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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS | 2024-03-14 15:10 |
Kanagawa | Kanagawa Institute of Technology (Primary: On-site, Secondary: Online) |
Diagnosis Support System for Oral Mucosal Diseases Development Which Using Tendency of User's Select a Diseases Area Taiyo Sato (NIT), Taishi Ohtani, Manabu Habu, Kazuhiro Tominaga (KDU), Keiichi Horio (Kyutech), Nanto Ozaki (NIT)  SIS2023-51 |
The Diagnosis Support System for Oral Mucosal Diseases is a system designed to assist dentists. The input to the system ... [more] | SIS2023-51 pp.33-38 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 10:10 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Construction and accuracy verification of bus passenger counting system using image processing Yuta Tashiro, Soichirou Yanagihara, Yuukou Horita (Univ. of Toyama) IMQ2023-62 IE2023-117 MVE2023-91 |
In recent years, the decline of transportation infrastructure in rural areas in Japan and the disparity in transportatio... [more] | IMQ2023-62 IE2023-117 MVE2023-91 pp.270-275 |
| VLD, HWS, ICD | 2024-02-29 10:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
() VLD2023-108 HWS2023-68 ICD2023-97 |
(To be available after the conference date) [more] | VLD2023-108 HWS2023-68 ICD2023-97 pp.54-59 |
| 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 |
| IMQ, HIP | 2023-07-28 15:05 |
Hokkaido | Satellite Campus, Sapporo City University | Estimation of subjective fatigue level using heart rate variability and physical acceleration during indoor movement Yuuya Okazaki, Seiya Kawamata, Yuukou Horita (Univ.of Toyama) IMQ2023-5 HIP2023-44 |
Well-being is attracting increasing attention both in Japan and overseas as a term that expresses a state of mental, phy... [more] | IMQ2023-5 HIP2023-44 pp.9-14 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-06-29 13:55 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
NC2023-2 IBISML2023-2 |
(To be available after the conference date) [more] | NC2023-2 IBISML2023-2 pp.9-16 |
| SeMI, SeMI (Joint) |
2023-01-19 15:55 |
Tokushima | Naruto grand hotel (Primary: On-site, Secondary: Online) |
[Short Paper]
Hand Written Digit Recognition by Ensemble Learning using Leap Motion Noriaki Kaneko, Masakatsu Ogawa (Sophia Univ.) SeMI2022-86 |
In recent years, contactless input technologies have been attracting attention due to the spread of the new coronavirus ... [more] | SeMI2022-86 pp.61-64 |
| MSS, SS | 2023-01-11 10:25 |
Osaka | (Primary: On-site, Secondary: Online) |
Automatic Diagnosis of Fissured Tongue in Traditional Chinese Medicine Tongue Diagnosis Zhenyu An (Yamaguchi Univ.), Ren Wu (Yamaguchi Junior College), Mitsuru Nakata, Qi-Wei Ge (Yamaguchi Univ.) MSS2022-53 SS2022-38 |
A fissured tongue is a tongue in which the surface of the tongue (meaty part of the tongue) is split. This study aims to... [more] | MSS2022-53 SS2022-38 pp.48-53 |
| NLC | 2022-09-13 14:10 |
Kanagawa | Keio Univ. Yagami Campus. (Primary: On-site, Secondary: Online) |
A Proposal of an Ensemble Learning Method by Using Pre-Trained BERT Models for Authorship Attribution Taisei Kanda, Liu Yejia, Jin Mingzhe (Doshisha Univ.) NLC2022-6 |
Although bidirectional encoder representations from transformers (BERT) is a highly versatile model, there have been rep... [more] | NLC2022-6 pp.9-12 |
| RCS | 2022-06-17 10:25 |
Okinawa | University of the Ryukyus, Senbaru Campus and online (Primary: On-site, Secondary: Online) |
A Study on Support Vector Classification-Aided Regression with Ensemble Learning for GNSS Positioning Shugo Maruyama, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2022-60 |
In Global Navigation Satellite System (GNSS) positioning, the receiver position is estimated by solving the nonlinear si... [more] | RCS2022-60 pp.212-217 |
| MI | 2021-07-09 10:30 |
Online | Online | Applying Convolutional Network to Predict Pathology of Postchemotherapy Retroperitoneal Nodal Masses in Germ Cell tumors Yoshimasa Iwano, Satoshi Nitta (Univ. of Tsukuba), Takahiro Kojima (Aichi Cancer Center), Hideki Kakeya (Univ. of Tsukuba) MI2021-15 |
The main treatment for advanced testicular cancer is chemotherapy and following surgical resection of residual masses. T... [more] | MI2021-15 pp.25-30 |
| SIS, IPSJ-AVM | 2021-06-24 13:25 |
Online | Online | A Study of Ensemble Learning for Randomly Weighted Neural Network Yasuyuki Okoshi, Kazutoshi Hirose, Kota Ando, Kazushi Kawamura, Thiem Van Chu, Masato Motomura, Jaehoon Yu (Tokyo Tech) SIS2021-7 |
Recent research on deep learning shows the possibility of building neural networks by learning connection existences ins... [more] | SIS2021-7 pp.37-42 |
| RECONF | 2021-06-08 14:10 |
Online | Online | RECONF2021-2 |
(To be available after the conference date) [more] | RECONF2021-2 pp.2-7 |
| MBE | 2021-05-28 13:55 |
Online | Online | Emotional Estimation by Micro-expression Using Ensemble Learning Koki Kato, Hironobu Takano (Toyama Pref. Univ.), Masahiro Saiko, Masahiro Kubo, Hitoshi Imaoka (NEC) MBE2021-2 |
Bad news, such as cancer notifications from doctors, has a big impact on patients. The patient does not remember the con... [more] | MBE2021-2 pp.2-5 |
| PRMU, IPSJ-CVIM | 2021-03-04 09:45 |
Online | Online | Discrimination between Real and Cloned Images by Ensemble Learning of GAN Discriminators Naoki Hamasaki, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) PRMU2020-70 |
(To be available after the conference date) [more] | PRMU2020-70 pp.7-12 |
| IN, NS (Joint) |
2021-03-05 10:10 |
Online | Online | Routing Design Method using Deep Learning for Congestion Control in Backbone Network Makoto Ito, Taiju Mikoshi (Nihon Univ.) NS2020-146 |
We have been propose a routing design method using deep neural network for guaranteed bandwidth services. The proposed m... [more] | NS2020-146 pp.137-142 |
| NC, MBE (Joint) |
2021-03-05 13:50 |
Online | Online | DCSOM with Ensemble Learning Classifier Akito Takahashi, Yukari Yamauchi (Nihon Univ) NC2020-71 |
Deep Convolutional Self-Organizing Map (DCSOM) which extracts visual features from images by using self-organizing maps ... [more] | NC2020-71 pp.163-168 |
| BioX, CNR | 2021-03-02 09:50 |
Online | Online | Improving an Accuracy of Personal Identification Using Ensemble Learning and Footsteps Yoshiki Goto, Akitoshi Itai (Chubu Univ.) BioX2020-41 CNR2020-14 |
It is known that the footstep includes personal characteristics. We often recognize a person from walking footsteps in l... [more] | BioX2020-41 CNR2020-14 pp.7-11 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 11:10 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Investigation of diagnostic support system for portable chest X-ray images by two-step classification using ensemble learning Takahiro Dozono, Yuichiro Yoshimura, Kumiko Arai, Takaaki Nakada, Shigeto Oda, Toshiya Nakaguchi (Chiba Univ) IMQ2019-33 IE2019-115 MVE2019-54 |
Portable radiographs are used to monitor critically ill patients in intensive care units who have difficulty moving. How... [more] | IMQ2019-33 IE2019-115 MVE2019-54 pp.89-92 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2020-01-22 17:20 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | Many Universal Convolution Cores for Ensemble Sparse Convolutional Neural Networks Ryosuke Kuramochi, Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (Titech) VLD2019-65 CPSY2019-63 RECONF2019-55 |
A convolutional neural network (CNN) is one of the most successful neural networks and widely used for computer vision t... [more] | VLD2019-65 CPSY2019-63 RECONF2019-55 pp.67-72 |
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