Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
R |
2023-03-10 14:50 |
Hiroshima |
(Primary: On-site, Secondary: Online) |
Model selection between logistic and Gompertz models Daisuke Satoh (NTT) R2022-52 |
A discrete Gompertz model and model selection between the Gompertz and logistic models are proposed. The proposed method... [more] |
R2022-52 pp.25-30 |
MI |
2023-03-06 09:44 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Machine learning models using CT images and clinical variable to classify tumors in testicular cancer Shota Nakagawa, Masanobu Gido (University of Tsukuba), Satoshi Nitta (University of Tsukuba Hospital), Takahiro Kojima (Aichi Cancer Center Hospital), Hideki Kakeya (University of Tsukuba) MI2022-75 |
This paper presents machine learning methods to classify tumors in testicular cancer. The model combines CT images and c... [more] |
MI2022-75 pp.8-13 |
NS, IN (Joint) |
2020-03-05 10:40 |
Okinawa |
Royal Hotel Okinawa Zanpa-Misaki (Cancelled but technical report was issued) |
A Media Access Control using Capture Effect based on Mathematical Model for Improving Throughput Fairness over Densely placed WLANs Yoshiki Miura, Hiroyasu Obata, Chisa Takano, Kenji Ishida (Hiroshima City Univ.) IN2019-88 |
In an environment where multiple wireless LAN (WLAN) systems are densely placed, SACA (Semi-Active CW Adaptation) method... [more] |
IN2019-88 pp.73-78 |
R |
2019-07-26 15:55 |
Iwate |
Ichinoseki Cultural Center |
More precise fitting of logistic curve model with missing data Daisuke Satoh, Ryutaro Matsumura (NTT) R2019-18 |
A parameter estimating method based on a logistic curve model with missing data is proposed. Since the model is describe... [more] |
R2019-18 pp.25-29 |
R |
2019-06-14 15:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Identification comparison of software fault-prone modules using nonlinear logistic regression models Kazunari Yamanaka, Tadashi Dohi, Hiroyuki Okamura (Hiroshima U.) R2019-12 |
In this article, we compare several non-linear logistic regression models used in a fault-prone
identification problem... [more] |
R2019-12 pp.19-24 |
NC, MBE (Joint) |
2018-12-15 15:30 |
Aichi |
Nagoya Institute of Technology |
Proposal of Analysis Accuracy Improvement Method by Logistic Regression in Single Nucleotide Polymorphism Analysis Using Next-Generation Sequencer Ginji Azuma (Kindai Univ.), Atsushi Takahashi (NCVC), Naoki Ohboshi (Kindai Univ.) NC2018-37 |
Single nucleotide polymorphisms are known to be related to phenotypes, and analysis is actively performed. However, the ... [more] |
NC2018-37 pp.51-55 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Inference for Logitistic Regression Mixture Model with Local Variational Approximation and Study for Variational Free Energy Fumito Nakamura, Ryosuke Konishi (Generic Solution), Yasushi Kiyoki (Keio) IBISML2018-48 |
A logistic regression mixture model (LRMM) is a mixed model of the Logistic regression model, and it is widely used in t... [more] |
IBISML2018-48 pp.29-36 |
CAS, NLP |
2018-10-18 14:15 |
Miyagi |
Tohoku Univ. |
Estimation accuracy of causal relation on difference in network structures Kazuya Sawada (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) CAS2018-43 NLP2018-78 |
In this paper, we applied Convergent Cross Mapping to estimate causal relations between multiple timeseries. We used a c... [more] |
CAS2018-43 NLP2018-78 pp.33-38 |
KBSE, SS, IPSJ-SE [detail] |
2018-07-18 10:30 |
Hokkaido |
|
An analysis of the impact of temporal changes of developers' activities on the committer candidate prediction model Daiki Yamasaki, Masao Ohira, Akinori Ihara, Yutaro Kashiwa, Tomoki Miyazaki (Wakayama Univ.) SS2018-4 KBSE2018-14 |
Many of large-scale open source projects have a serious problem in recruiting committers who have a privilege to commit ... [more] |
SS2018-4 KBSE2018-14 pp.19-24 |
SWIM |
2018-05-19 14:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
The Cyberspace Revolution
-- Reconsidering Corporate Organizations -- Shoei Komatsu (APSOM) SWIM2018-2 |
Beginning in the era of the New Industrial Revolution, collaboration between companies, and the formation of business ec... [more] |
SWIM2018-2 pp.3-8 |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 14:45 |
Okinawa |
|
Optimization of Gaussian Kernel Parameters for Kernel Logistic Regression Kosuke Fukumori, Tomoya Wada, Toshihisa Tanaka (TUAT) EA2017-135 SIP2017-144 SP2017-118 |
The kernel logistic regression is a nonlinear classification model that effectively uses kernel methods, which are one o... [more] |
EA2017-135 SIP2017-144 SP2017-118 pp.185-190 |
MBE, NC (Joint) |
2018-03-14 14:25 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Effect of Alzheimer's Disease on factors in waveform features of Pupil Light Reflex Wioletta Nowak (Wroclaw Univ. of S&T), Minoru Nakayama (Tokyo Tech), Krecicki Tomasz (Wroclaw Medical Univ.), Andrzej Hachol (Wroclaw Univ. of S&T) MBE2017-107 |
Pupil light reflex (PLR) for 1 second chromatic stimuli was analysed to
develop a procedure of detecting Alzheimer's D... [more] |
MBE2017-107 pp.131-136 |
SWIM |
2018-02-23 15:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
The Cyberspace Revolution
-- Rethinking Business Engineering -- Shoei Komatsu (APSOM) SWIM2017-25 |
Due to the rapid spread of the Internet / IoT, the environment surrounding enterprises is rapidly changing. That is, for... [more] |
SWIM2017-25 pp.19-24 |
R |
2017-10-20 14:25 |
Kumamoto |
|
Logistic Curve's Parameter Fitting under Missing Data Ryutaro Matsumura, Daisuke Satoh (NTT) R2017-45 |
The logistic difference equation can be solved by regression analysis to estimate parameters of logistic curve model wit... [more] |
R2017-45 pp.7-11 |
R |
2016-10-21 13:30 |
Okinawa |
Okinawaken Seinenkaikan |
Analysis of the Ceiling by the Gompertz Curve Model with Data Described by the Logistic Curve Model Daisuke Satoh, Ryutaro Matsumura (NTT) R2016-42 |
The Gompertz curve and logistic curve models are often used to forecast the ceiling. An accurate model selection method ... [more] |
R2016-42 pp.1-6 |
EA, ASJ-H |
2016-08-09 13:30 |
Miyagi |
Tohoku Gakuin Univ., Tagajo Campus |
Improvement to an Objective Binaural Intelligibility Prediction Method Kazuya Taira, Kazuhiro Kondo (Yamagata Univ.) EA2016-21 |
We attempted to improve the binaural intelligibility estimation method proposed in our previous paper. The number of dat... [more] |
EA2016-21 pp.7-12 |
NLC, TL |
2016-06-04 16:50 |
Hokkaido |
Otaru University of Commerce |
Identification of Tweets that Mention Books
-- Effects of Features, Data Size, and ML Algorithms -- Shuntaro Yada, Kyo Kageura (UTokyo) TL2016-7 NLC2016-7 |
We report performances of a classifier that identify Tweets that Mention Books (TMB) from tweets that contain the same s... [more] |
TL2016-7 NLC2016-7 pp.29-34 |
IA |
2014-11-06 15:50 |
Overseas |
Thailand |
Isan Dhamma Character Recognition on Palm Leaves based on Logistic Model Tree Preecha Khakham, Narumol Chumuang, Mahasak Ketcham (King Mongkut Univ. of Tech.) IA2014-55 |
This paper proposes a new approach for Isan Dhamma handwriting on palm leaves character recognition system based on Logi... [more] |
IA2014-55 pp.109-114 |
NLC |
2014-06-15 09:25 |
Fukuoka |
Kyushu Institute of Technology |
Extraction of Determinants of Postoperative Length of Stay from Operation Records Takanori Yamashita, Yoshifumi Wakata, Satoshi Hamai, Yasuharu Nakashima, Yukihide Iwamoto, Naoki Nakashima, Sachio Hirokawa (Kyushu Univ.) NLC2014-11 |
Secondary use of clinical text data are gaining much attention in improving the quality and the efficiency of medical tr... [more] |
NLC2014-11 pp.59-64 |
IBISML |
2014-03-07 10:05 |
Nara |
Nara Women's University |
Online Prediction with Bradley-Terry Models and Logistic Models Issei Matsumoto, Kohei Hatano, Eiji Takimoto (Kyushu Univ) IBISML2013-74 |
We consider an online density estimation problem under the Bradley-Terry model which determines the probability of the o... [more] |
IBISML2013-74 pp.55-62 |