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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 192  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2023-06-29
15:10
Okinawa OIST Conference Center
(Primary: On-site, Secondary: Online)
Selective Inference for DNN-driven Saliency Map
Daiki Miwa (NITech), Vo Nguyen Le Duy (RIKEN), Tomohiro Shiraishi (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) NC2023-5 IBISML2023-5
The usefulness of image classification using DNN models has been confirmed in various fields, but the prediction mechani... [more] NC2023-5 IBISML2023-5
pp.30-34
EMCJ, MICT
(Joint)
2023-03-17
15:15
Tokyo Kikai-Shinko-Kaikan Bldg
(Primary: On-site, Secondary: Online)
Statistical Modeling of Automotive Component Noise-Source Including Load Change
Noboru Maeda (SOKEN), Keishi Miwa (TMC) EMCJ2022-93
Electromagnetic noise is often a phenomenon with large fluctuation, so, it is effective to understand the noise source c... [more] EMCJ2022-93
pp.7-12
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
MI 2023-03-06
14:07
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Application of statistical shape modeling of whole lower limbs in the prediction of musculoskeletal shapes
Yuto Masaki, Yoshito Otake, Mazen Soufi, Yi Gu (NAIST), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ.), Takuma Miyamoto, Yasuhito Tanaka (Nara Medical Univ), Seiji Okada, Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST) MI2022-84
Musculoskeletal modeling of the whole lower limbs that reflects patient-specific anatomical features is important in bio... [more] MI2022-84
pp.57-62
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
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
MSS, NLP 2022-03-28
10:05
Online Online Formal Verification of Control Policy of Elevator Systems using Statistical Model Checking
Yuki Kitahara, Masaki Nakamura, Kazutoshi Sakakibara (Toyama Pref. Univ.) MSS2021-57 NLP2021-128
When designing an elevator system, efficient control laws can be expected to be obtained by considering the probability ... [more] MSS2021-57 NLP2021-128
pp.13-18
IT, ISEC, RCC, WBS 2022-03-11
15:35
Online Online The explicit formula for the distributions of nonoverlapping words
Hayato Takahashi (Random Data Lab.) IT2021-123 ISEC2021-88 WBS2021-91 RCC2021-98
Generating functions of the distributions of number of occurences of words and
approximation of these distributions ar... [more]
IT2021-123 ISEC2021-88 WBS2021-91 RCC2021-98
pp.234-236
MI 2022-01-26
10:00
Online Online MI2021-52 In this report, we propose a method for constructing a statistical intensity model of blood vessels in thoracic CT image... [more] MI2021-52
pp.39-40
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
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
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
MI 2021-03-16
14:00
Online Online Deformable mesh registration of partial lung shapes based on learning of pneumothorax deformation
Hinako Maekawa, Megumi Nakao (Kyoto Univ.), Katsutaka Mineura (Kyoto Univ. Hospital), Toyofumi F. Chen-Yoshikawa (Nagoya Univ. Hospital), Tetsuya Matsuda (Kyoto Univ.) MI2020-74
Intraoperative pneumothorax is accompanied by large deformation including rotation. As intraoperative cone-beam CT (CBCT... [more] MI2020-74
pp.112-117
KBSE 2021-03-06
14:25
Online Online KBSE2020-46 In recent years, the use of open source software (OSS) in product software has been increasing in the industrial world, ... [more] KBSE2020-46
pp.71-76
NC, MBE
(Joint)
2021-03-05
11:20
Online Online Memory Capacity of Sparse-Coding Hopfield model Implemented on Coherent Ising Machine
Ryuta Sasaki, Toru Aonishi (TokyoTech), Kazushi Mimura (Hiroshima City Univ.), Masato Okada (Univ. Tokyo), Yoshihisa Yamamoto (NTT/Stanford Univ.) NC2020-68
The coherent Ising machine (CIM) is being developed as one of the Ising computers for solving combinatorial optimization... [more] NC2020-68
pp.145-150
IT 2020-12-02
10:30
Online Online Error Probability of Classification Based on the Analysis of the Bayes Code -- Extension and Example --
Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-32
Suppose that we have two training sequences generated by parametrized distributions $P_{theta^*}$ and $P_{xi^*}$, where ... [more] IT2020-32
pp.44-49
MBE, NC, NLP, CAS
(Joint) [detail]
2020-10-30
10:50
Online Online statistical mechanical analysis of catastrophic forgetting in continual learning with teacher and student networks
Haruka Asanuma, Shiro Takagi, Yoshihiro Nagano, Yuki Yoshida (Tokyo Univ.), Yasuhiko Igarashi (Tsukuba Univ.), Masato Okada (Tokyo Univ.) NC2020-18
When single neural networks sequentially learns more than one task, catastrophic forgetting occurs except for the last t... [more] NC2020-18
pp.50-55
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
ISEC, IT, WBS 2020-03-10
13:50
Hyogo University of Hyogo
(Cancelled but technical report was issued)
A Statistical Decision-Theoretic Approach for Measuring Privacy Risk in Information Disclosure Problem
Alisa Miyashita, Akira Kamatsuka (Waseda Univ.), Takahiro Yoshida (Yokohama College of Commerce), Toshiyasu Matsushima (Waseda Univ.) IT2019-104 ISEC2019-100 WBS2019-53
In this paper, we deal with the problem of database statistics publishing with privacy and utility guarantees. While var... [more] IT2019-104 ISEC2019-100 WBS2019-53
pp.95-100
NC, MBE
(Joint)
2020-03-05
13:00
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
Bayesian learning curve for the case when the optimal distribution is not unique
Shuya Nagayasu, Sumio Watanabe (Tokyo Tech) NC2019-94
Bayesian inference is a widely used statistical method. Asymptotic behaviors of generalization loss and free energy in B... [more] NC2019-94
pp.107-112
 Results 1 - 20 of 192  /  [Next]  
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