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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 61  /  [Next]  
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
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
CCS 2023-03-26
11:35
Hokkaido RUSUTSU RESORT A Study on Hardware Architectures of Ensemble Kalman Filters towards High-Speed and Memory-Efficient Online Learning for Reservoir Computing
Kota Tamada, Yuki Abe, Kose Yoshida, Tetsuya Asai (Hokkaido Univ) CCS2022-70
The objective of this study was to develop a hardware architecture for an ensemble Kalman filter in reservoir computing.... [more] CCS2022-70
pp.42-47
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
16:40
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Does the class imbalance in the pre-training always adversely affect transfer learning performance?
Shojun Nakayama (Toshiba) PRMU2022-89 IBISML2022-96
In this work, we studied how class-imbalance in the pre-training affect to the accuracy of the transfer learning. We div... [more] PRMU2022-89 IBISML2022-96
pp.151-156
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
IT 2022-07-22
15:05
Okayama Okayama University of Science
(Primary: On-site, Secondary: Online)
Bayes Optimal Approximation Algorithm by Boosting-like Construction of Meta-Tree Sets in Classification on Decision Tree Model
Ryota Maniwa, Naoki Ichijo, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-28
Decision trees are used for classification and regression such as predicting the objective variable corresponding to the... [more] IT2022-28
pp.67-72
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
PRMU 2021-12-16
10:30
Online Online Real-world Anomaly Detection by Integrating Long-Term and Short-Term Classifications
Yudai Watanabe, Makoto Okabe (Shizuoka Univ.), Yasunori Harada, Yasuhiko Naoji (Chubu Electric Power Co., Inc.) PRMU2021-27
We propose a model to determine whether a video is normal or abnormal by using all the segments obtained from the video ... [more] PRMU2021-27
pp.19-24
DE, IPSJ-DBS, IPSJ-IFAT 2021-09-16
13:00
Online Online Ensemble BERT-BiLSTM-CNN Model for Sequence Classification
Vuong Thi Hong (NII/SOKENDAI), Takasu Atsuhiro (NII) DE2021-12
Ensemble methods use multiple learning algorithms to obtain better predictive performance. Currently, deep learning mode... [more] DE2021-12
pp.1-6
R 2021-07-17
14:25
Online Virtual Refined Ensemble Learning Algorithms for Software Bug Prediction -- Metaheuristic Approach --
Keisuke Fukuda, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2021-19
In this paper, we propose to apply three metaheuristic algorithms; latin hypercube sampling, ABC (artificial
bee colon... [more]
R2021-19
pp.18-23
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
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
R 2021-05-28
11:10
Online Online Proposal of Classifier Ensembles via Domain Knowledge for anomaly detection
Masafumi Tsuyuki, Soichi Takashige, Daisuke Komaki (Hitachi) R2021-2
Anomaly detection models based on sensor data for preventive maintenance of facilities, need to be updated based on cont... [more] R2021-2
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
 Results 1 - 20 of 61  /  [Next]  
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