Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SANE |
2023-05-23 11:40 |
Kanagawa |
Information Technology R & D Center, MITSUBISHI Electric Corp. (Primary: On-site, Secondary: Online) |
NDVI prediction with SAR data using time series features Raiki Kudo (UTokyo), Seiseke Fukuda (JAXA) SANE2023-7 |
The Normalized Difference Vegetation Index (NDVI) is used to determine the growth of crops, the condition of cultivated ... [more] |
SANE2023-7 pp.36-41 |
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 |
ICSS, IPSJ-SPT |
2021-03-02 11:05 |
Online |
Online |
Accuracy evaluation of CNNs and random forests with Malware API call sequences Shugo Asai, Futa Yuichi (TUT) ICSS2020-58 |
In this paper, we compare the accuracy of the results of classifying each malware family by Random Forest and CNN using ... [more] |
ICSS2020-58 pp.190-194 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2021-02-19 16:50 |
Online |
Online |
[Special Talk]
Improving Efficiency of Hammering Inspection of Subway Tunnels based on Analyzing Inspection Data Motoki Oyama, Yuki Wakuda, Maiku Abe (Hokkaido Univ.), Yukihiro Ishikawa, Yuki Enokidani, Daisuke Tanaka, Hideaki Yamaguchi (Tokyo Metro) |
In this study, we aimed at optimizing the operation of the upper floor hammering sound inspection of the subway tunnel, ... [more] |
|
MICT, MI |
2020-11-04 15:00 |
Online |
Online |
Frequency Analysis of Bio-vibration Data based on Difference of Results Learned by Random Forests between SAS/non-SAS Subjects Iko Nakari, Keiki Takadama (UEC) MICT2020-17 MI2020-43 |
This paper described a frequency analysis of bio-vibration data obtained from mat sensor with sleep apnea syndrome (SAS... [more] |
MICT2020-17 MI2020-43 pp.48-53 |
VLD, HWS (Joint) |
2018-02-28 09:55 |
Okinawa |
Okinawa Seinen Kaikan |
On Memory Size Reduction of Programmable Hardware for Random Forest based Network Intrusion Detection Binbin Xue, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2017-90 |
In our previous research, we proposed dedicated programmable hardware of random forest based NIDSs. In this research, we... [more] |
VLD2017-90 pp.7-12 |
SIS |
2017-12-15 14:00 |
Tottori |
Tottori Prefectural Center for Lifelong Learning |
A Study on Hand Gesture Recognition and Tracking using Random Forest and Median Flow Satoshi Murashige, Takanori Koga (NIT, Tokuyama Col.) SIS2017-56 |
Recently, many interactive art works have been produced using a projector-camera system. To exhibit table-top type works... [more] |
SIS2017-56 pp.129-134 |
SIP, CAS, MSS, VLD |
2017-06-19 11:40 |
Niigata |
Niigata University, Ikarashi Campus |
An Implementation Method of Reconfigurable Network Intrusion Detection Systems Based on Random Forests Binbin Xue, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) CAS2017-7 VLD2017-10 SIP2017-31 MSS2017-7 |
In this paper, we propose an implementation method of reconfigurable network intrusion detection system based on random ... [more] |
CAS2017-7 VLD2017-10 SIP2017-31 MSS2017-7 pp.37-42 |
SIS |
2017-06-01 15:00 |
Oita |
Housen-Sou (Beppu) |
A Fundamental Study on Hand Gesture Recognition in Infrared Image Using Co-occurrence Histograms of Oriented Gradients and Random Forests Satoshi Murashige, Takanori Koga (NIT, Tokuyama Col.) SIS2017-9 |
Recently, many interactive art works have been produced using a projector-camera system. In the case of using table-top ... [more] |
SIS2017-9 pp.47-50 |
PRMU, BioX |
2017-03-21 14:35 |
Aichi |
|
Noise Detection of Regression Forests with AutoEncoder Masaya Hibino (Chubu Univ.), Akisato Kimura (NTT), Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.) BioX2016-68 PRMU2016-231 |
(To be available after the conference date) [more] |
BioX2016-68 PRMU2016-231 pp.209-214 |
SP, IPSJ-SLP, NLC, IPSJ-NL (Joint) [detail] |
2016-12-22 09:30 |
Tokyo |
NTT Musashino R&D |
AI-based Japanese Short-answer Scoring and Support System Tsunenori Ishioka, Masayuki Kameda (NCUEE), Dongyue Louis Liu (GRI) NLC2016-36 |
We have developed an automated Japanese short-answer scoring and support machine for new National Center Test written ex... [more] |
NLC2016-36 pp.87-92 |
PRMU, SP, WIT, ASJ-H |
2016-06-13 14:30 |
Tokyo |
|
A Method for Adding Classification Classes in Random Forests Ryota Ozaki, Yukihiro Tsuboshita, Noriji Kato (Fuji Xerox) PRMU2016-42 SP2016-8 WIT2016-8 |
In estimating classes using Random Forests, it is necessary to re-create decision trees with the data of all classes whe... [more] |
PRMU2016-42 SP2016-8 WIT2016-8 pp.41-45 |
PRMU, BioX |
2016-03-25 15:45 |
Tokyo |
|
Efficient Mondrian Forests by Introducing Supervised Learning Ryuei Murata (Chubu Univ.), Akisato Kimura, Yoshitaka Ushiku (NTT), Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.) BioX2015-73 PRMU2015-196 |
Mondrian Forests is an online learning method based on framework of Random Forests. At the online learning, Mondrian For... [more] |
BioX2015-73 PRMU2015-196 pp.191-196 |
MI |
2016-01-20 09:44 |
Okinawa |
Bunka Tenbusu Kan |
Automatic Polyp Detection from Endoscope Image Using Likelihood Map Based on Edge Information Hiroaki Hagi, Yuji Iwahori (Chubu Univ.), Kunio Kasugai (Aichi Med. Univ.) MI2015-113 |
An endoscope is a medical instrument that acquires images inside the human body.
This paper proposes a new approach f... [more] |
MI2015-113 pp.193-198 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2015-09-15 11:45 |
Ehime |
|
[Short Paper]
Transfer Learning to Avoid Negative Transfer Focusing on Tree Sturucture Kenta Nishiyuki (Megachips), Hironobu Fujiyoshi (Chubu Univ.) PRMU2015-84 IBISML2015-44 |
(To be available after the conference date) [more] |
PRMU2015-84 IBISML2015-44 pp.127-128 |
PRMU, BioX |
2015-03-20 14:00 |
Kanagawa |
|
Training of Random Forests Using Covariate Shift on Parallel Distributed Processing Ryoji Wakayama (Chubu Univ.), Akisato Kimura (NTT), Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.) BioX2014-73 PRMU2014-193 |
Machine learning with big data improves a classification performance but increases computatinal cost for learning. Paral... [more] |
BioX2014-73 PRMU2014-193 pp.205-210 |
NLP |
2013-07-09 15:20 |
Okinawa |
Miyako Island Marine Terminal |
Lossless Image Data Compression Based on Regression Trees Manabu Kobayashi (Shonan Inst. of Tech.), Shigeichi Hirasawa (Waseda Univ.) NLP2013-47 |
It is well known that the random forests proposed by L. Breiman in 2001 achieve the high accuracy for classification pro... [more] |
NLP2013-47 pp.117-122 |
PRMU |
2013-02-21 16:10 |
Osaka |
|
[Poster Presentation]
Estimation of Camera Yaw angle by Regression Forests using Multiple Paths Ryoji Wakayama, Hironobu Fujiyoshi (Chubu Univ.) PRMU2012-151 |
In this paper, we propose a method for estimating camera yaw-angle, which is required for motion stereo, using regressio... [more] |
PRMU2012-151 pp.111-112 |
MBE, NC (Joint) |
2012-03-16 13:20 |
Tokyo |
Tamagawa University |
Prediction for irregular pupil light responses to chromatic stimuli using features of waveform shape Minoru Nakayama (Tokyo Tech.), Wioletta Nowak (WUT), Hitoshi Ishikawa, Ken Asakawa, Yoshiaki Ichibe (Kitasato Univ.) MBE2011-140 |
This report determine a possibility of classification for Pupil Light
Response (PLR) with Age-Related Macular Degenerat... [more] |
MBE2011-140 pp.175-180 |
PRMU, SP |
2012-02-09 16:30 |
Miyagi |
|
[Poster Presentation]
Improving Random Forests by Introducing of Distribution Between Yohei Mishina, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.) PRMU2011-210 SP2011-125 |
(To be available after the conference date) [more] |
PRMU2011-210 SP2011-125 pp.121-122 |