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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2023-03-06 13:54 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Prediction of missing tooth shape from dental 3D scan data for automated dental treatment planning Ryota Nakatani (NAIST), Yuto Masaki (NAIST/PSP), Yoshito Otake (NAIST), Tomoko Ikawa, Yuko Shigeta, Takuya Kihara, Shuji Shigemoto, Takumi Ogawa (Tsurumi Univ.), Mazen Soufi, Yoshinobu Sato (NAIST)  MI2022-83 |
Although dental CAD/CAM systems have contributed to dental treatment, it is difficult for current systems to design toot... [more] | MI2022-83 pp.52-56 |
| MSS, SS | 2023-01-11 15:00 |
Osaka | (Primary: On-site, Secondary: Online) |
Proposal of expanded STRIM and its application to a real-world dataset Taketo Nishio, Tetsuro Saeki (Yamaguchi Univ.), Yuichi Kato (Shimane Univ.) MSS2022-59 SS2022-44 |
We have previously proposed a statistical test rule induction method (STRIM), which induces the causality by if-then rul... [more] | MSS2022-59 SS2022-44 pp.84-89 |
| EA, US (Joint) |
2022-12-22 16:50 |
Hiroshima | Satellite Campus Hiroshima | [Poster Presentation]
Data augmentation method for machine learning on speech data Tsubasa Maruyama (Tokyo Tech), Tsutomu Ikegami (AIST), Toshio Endo (Tokyo Tech), Takahiro Hirofuchi (AIST) EA2022-68 |
In machine learning, data augmentation is a method to enhance the number and diversity of data by adding transformations... [more] | EA2022-68 pp.42-48 |
| MICT, MI | 2022-11-18 14:25 |
Aichi | Nagoya Institute of Technology | Development of a Statistical Model for Predicting Aging Change in Spine and Pelvis Based on Landmarks Detected in a Large Scale Torso CT Image Database Yuga Shimomoto, Yoshito Otake, Tomoki Hakotani, Mazen Soufi (NAIST), Hideki Shigematu (Nara Med. Univ.), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Toshiaki Akashi (Juntendo Univ.), Kensaku Mori (Nagoya Univ./NII), Kento Aida (NII), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MICT2022-39 MI2022-68 |
One way to describe variations in skeletal shape is a statistical shape model (SSM), which statistically analyzes organ ... [more] | MICT2022-39 MI2022-68 pp.29-32 |
| ET, IPSJ-CLE | 2022-06-12 10:00 |
Aichi | Nagoya Institute of Technology/Online (Primary: On-site, Secondary: Online) |
Developing teaching materials for university students for data analysis in statistical inquiry process Katsumi Yoshine (Nanzan Univ.) ET2022-7 |
While the number of universities where you can study data science is increasing, there is also a growing tendency to inc... [more] | ET2022-7 pp.26-29 |
| IT, ISEC, RCC, WBS | 2022-03-11 14:55 |
Online | Online | On Strong Converse Theorem for Distributed Hypothesis Testing Yasutada Oohama (UEC) IT2021-122 ISEC2021-87 WBS2021-90 RCC2021-97 |
In this study, we consider a communication system in which data generated at two points with correlation is separatley... [more] |
IT2021-122 ISEC2021-87 WBS2021-90 RCC2021-97 pp.228-233 |
| IBISML | 2022-01-18 13:40 |
Online | Online | More Powerful Selective Inference for K-means clustering with Application to Single Cell Analysis Mizuki Sato, Yumehiro Omori, Yu Inatsu, Ichiro Takeuchi (NITech) IBISML2021-25 |
K-means clustering is the most famous clustering method because of its simplicity, and it has been applied to a wide ran... [more] | IBISML2021-25 pp.54-60 |
| IN, IA (Joint) |
2021-12-16 15:35 |
Hiroshima | Higashi-Senda campus, Hiroshima Univ. (Primary: On-site, Secondary: Online) |
[Short Paper]
Study on Performance Bottleneck Analysis of Flow-Level Information-Centric Network Simulator Inoue Shouta, Goto Keita, Soma Yamamoto, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2021-35 |
In recent years, ICN (Information-Centric Networking) that focuses on the data being transferred, rather than hosts exch... [more] | IA2021-35 pp.28-30 |
| R | 2021-10-22 13:50 |
Online | Online | Modeling and prediction of injury occurrences of sumo wrestlers by using Hawkes process Shuhei Ota (Kanagawa Univ.), Mitsuhiro Kimura (Hosei Univ.) R2021-30 |
In sumo wrestling, which is a Japanese traditional sport, lots of sumo wrestlers suffer from injuries through actual bou... [more] | R2021-30 pp.1-6 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-16 13:00 |
Online | Online | On Time Slot Allocation Method with Statistical Channel State Information for Wireless Powered Sensor Networks Takeru Terauchi, Katsuya Suto (UEC), Masashi Wakaiki (Kobe Univ.) SR2021-36 |
Wireless power transfer via microwave is attracting interest because it solves the problem of battery of the sensors wit... [more] | SR2021-36 pp.81-86 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-28 16:10 |
Online | Online | More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method Kazuya Sugiyama (Nitech), Vo Nguyen Le Duy, Ichiro Takeuchi (Nitech/RIKEN) NC2021-8 IBISML2021-8 |
Conditional selective inference (SI) has been actively studied as a new statistical inference framework for data-driven ... [more] | NC2021-8 IBISML2021-8 pp.55-61 |
| R | 2021-06-12 14:50 |
Online | Online (Zoom) | A note on a stochastic model and injury prediction for sumo wrestlers Ota Shuhei (Kanagawa Univ.), Kimura Mitsuhiro (Hosei Univ.) R2021-13 |
In sumo wrestling, one of the martial arts, sumo wrestlers have a risk of injury due to actual bouts. Sumo wrestlers suf... [more] | R2021-13 pp.13-18 |
| ET | 2021-06-05 14:00 |
Online | Online | Collecting example sentences that describe the characteristics of statistical data
-- for the purpose of improving the ability to explain statistics in text -- Katsumi Yoshine (Nanzan Univ.) ET2021-3 |
With the increasing the need for statistical, new goals for statistic learners are being considered. The new goals often... [more] | ET2021-3 pp.13-16 |
| SR | 2021-05-20 10:50 |
Online | Online | Statistic Sample Size Determination for Average Received Signal Power Using Statistical Inference Keita Katagiri, Takeo Fujii (UEC) SR2021-3 |
Nowadays, a crowdsourcing-assisted radio map has attracted attention. In crowdsourcing, distributed mobile terminals obs... [more] | SR2021-3 pp.16-23 |
| MI | 2021-03-16 09:30 |
Online | Online | Statistical modeling of pulmonary vasculatures in CT volumes using a deep generative model Yuki Saeki, Atshushi Saito (TUAT), Jean Cousty, Yukiko Kenmochi (LIGM/ UGE/ CNRS/ ESIEE Paris), Akinobu Shimizu (TUAT) MI2020-65 |
The purpose of this study is to build a statistical intensity model of pulmonary vasculatures in CT volumes. In this stu... [more] | MI2020-65 pp.80-81 |
| US | 2021-02-22 15:20 |
Online | Online | Detecting Diseases Using Korotkoff Sound Analysis
-- - Examples of signal processing and statistical analysis - -- Hitoshi Takagi, Tsuneyoshi Sugimoto, Motoaki Sano, Fumiyo Katayama (Toin Univ) US2020-71 |
The aim of this study is to detect diseases, such as coronary artery disease (CAD), whose symptoms may manifest as abnor... [more] | US2020-71 pp.23-28 |
| SWIM | 2021-02-19 15:50 |
Online | Online | Statistical Analysis of Stock Price Fluctuations in Global Markets Before and After Corona Epidemic Sho Nishi, Yoshitaka Nishino, Yoshihiko Shiina, Jyunya Ohkuma, Kunihiko Usami, Shouta Tokuda, Susumu Ohtsuki, Tomorou Tanabe, Yuta Nakazato, Keisuke Iwaki, Yoshihisa Udagawa (Tokyo Univ. of Information Sciences) SWIM2020-19 |
The spread of COVID-19 is making a serious impact on the world economy. As policies to maintain economic activities have... [more] | SWIM2020-19 pp.44-49 |
| WIT, SP, IPSJ-SLP [detail] | 2020-10-22 13:00 |
Online | Online | [Invited Talk]
NHK's activities on Japanese end-to-end speech synthesis Kiyoshi Kurihara (NHK) SP2020-11 WIT2020-12 |
The main business of NHK (Japan Broadcasting Corporation) is the production and broadcasting of programs. Many programs ... [more] | SP2020-11 WIT2020-12 pp.19-20 |
| IBISML | 2020-10-22 10:25 |
Online | Online | IBISML2020-28 |
I will introduce significant pattern mining techniques that are designed to find statistically significant interactions ... [more] | IBISML2020-28 p.47 |
| OCS, OFT, LSJ (Joint) [detail] |
2020-08-28 15:50 |
Online | Online | Study on Scientific Training Method Using Statistical Analysis and Motion Density Map of Highly Skill worker
-- Case of Optical Fiber Fusion Splicing -- Daisuke Sugita, Ryusei Yamashita (PTU), Takeshi Hadano (NESS), Takuo Kikuchi (PTU) OFT2020-6 |
In this study, we use the SCAT (Steps for Coding and Theorization) to describe the key points of the movements that inst... [more] | OFT2020-6 pp.19-24 |
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