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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS | 2024-03-13 15:25 |
Misc. | Kikai-Shinko-Kaikan Bldg. | Machine learning-based solubility prediction and meta-heuristic search for multiple mutation patterns Kaisei Kojima, Kazutoshi Sakakibara, Masaki Nakamura (Toyama Prefectural Univ.), Daisuke Matsui (Ritsumeikan Univ.)  MSS2023-80 NLP2023-132 |
In order to solubilize insoluble proteins that cannot be used for industrial purposes, experiments have been performed t... [more] | MSS2023-80 NLP2023-132 pp.48-53 |
| MI, MICT | 2023-11-14 15:40 |
Fukuoka | Improving image quality of sparse-view micro-CT using Wasserstein GAN Naoki Ikezawa, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MICT2023-36 MI2023-29 |
Applications of micro-CT in pathology and histology have been studied in recent years, and we need to shorten the scanni... [more] | MICT2023-36 MI2023-29 pp.45-47 |
|
| COMP, IPSJ-AL | 2023-05-11 14:20 |
Hokkaido | Hokkaido University | Enumeration of Minimal Induced Steiner Subgraph in a Series-Parallel Graph Shun Onogi (TUT), Kunihiro Wasa (Hosei Univ.) COMP2023-5 |
Given a graph $G = (V, E)$ with a terminal set $W subseteq V$, a vertex subset $S subseteq V$ is an emph{induced Stein... [more] |
COMP2023-5 pp.22-28 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 11:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
The target detection method through autocovariance matrices and its robust analysis Yusuke Ono, Linyu Peng (Keio Univ.) EA2022-84 SIP2022-128 SP2022-48 |
An autocovariance matrix can be used to describe the characteristic of time series data. If data follow the stationary p... [more] | EA2022-84 SIP2022-128 SP2022-48 pp.55-60 |
| IBISML | 2022-12-23 15:10 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
Fixed Support Tree-Sliced Wasserstein Barycenter Yuki Takezawa, Ryoma Sato (Kyoto Univ./RIKEN AIP), Zornitsa Kozareva (Meta AI), Sujith Ravi (SliceX AI), Makoto Yamada (Kyoto University/RIKEN AIP/OIST) IBISML2022-63 |
The Wasserstein barycenter has been widely studied in various fields, including natural language processing, and compute... [more] | IBISML2022-63 pp.142-149 |
| COMP, IPSJ-AL | 2022-09-15 11:00 |
Kanagawa | Keio Univ. (Primary: On-site, Secondary: Online) |
Toward Efficiency Enumeration of Minimal Induced Steiner Subgraphs in Series-Parallel Graphs Shun Onogi (TUT), Kunihiro Wasa (Hosei Univ.) COMP2022-11 |
Given a graph ???? = (????, ????) with a terminal set ???? ⊆ ????, a vertex subset ???? ⊆ ???? is an induced Steiner sub... [more] | COMP2022-11 pp.3-9 |
| SIP | 2022-08-25 14:33 |
Okinawa | Nobumoto Ohama Memorial Hall (Ishigaki Island) (Primary: On-site, Secondary: Online) |
Structured Deep Image Prior with Interscale Thresholding Jikai Li, Shogo Muramatsu (Niigata Univ.) SIP2022-55 |
This work proposes a novel image denoising technique inspired by the deep image prior (DIP) method. Our contribution is ... [more] | SIP2022-55 pp.31-36 |
| ET, IPSJ-CLE | 2022-06-11 14:40 |
Aichi | Nagoya Institute of Technology/Online (Primary: On-site, Secondary: Online) |
About Automatic Scoring of Google Colaboratory Python Programs Ryouta Kozakai, Kobayashi Toshiki, Zhang Wenxuan, Yang Qun, Yuji Watanabe (Nagoya City Univ.) ET2022-6 |
In this study, an automatic scoring program is created for Python program codes input by Google Colaboratory. Since the ... [more] | ET2022-6 pp.20-25 |
| US | 2022-01-25 17:15 |
Online | Online | [Invited Talk]
Application of Ultrasonic Acoustic Levitation for Protein Crystallography Experiments at Synchrotron Beamlines Soichiro Tsujino, Takashi Tomizaki (PSI) US2021-68 |
Ultrasound acoustic levitation is a versatile tool to study physical, chemical, or biochemical characteristics of liquid... [more] | US2021-68 pp.51-55 |
| RCS, IN, NV (Joint) |
2021-05-28 11:20 |
Online | Online | Orientation Estimation of Interests using Approximate Minimum Steiner Tree Urara Kobayashi, Naoki Matsumoto, Kunitake Kaneko (Keio Univ.) IN2021-4 |
In recent years, there has been a tendency to represent information by graph according to services, and it attracts atte... [more] | IN2021-4 pp.19-24 |
| SIP, IT, RCS | 2021-01-22 10:40 |
Online | Online | Optimal Non-binary Single Insertion Deletion Correcting Code Construction by Maximum Clique Enumeration Akira Mitsutake, Takayuki Nozaki (Yamaguchi Univ.), Etsuji Tomita (UEC) IT2020-89 SIP2020-67 RCS2020-180 |
The purpose of this research is to construct non-binary single deletion correcting codes with large cardinalities. It i... [more] |
IT2020-89 SIP2020-67 RCS2020-180 pp.142-147 |
| PRMU | 2020-12-18 15:10 |
Online | Online | A Hybrid Sampling Strategy for Improving the Accuracy of Image Classification with less Data Ruiyun Zhu, Fumihiko Ino (Osaka Univ.) PRMU2020-62 |
This paper proposes a hybrid sampling strategy to improve learning accuracy with less training data for image classifica... [more] | PRMU2020-62 pp.139-144 |
| QIT (2nd) |
2020-12-11 13:20 |
Online | Online | [Invited Talk]
Resource theory of quantum thermodynamics
-- On the existence of nonequilibrium potentials -- Takahiro Sagawa (UTokyo) |
In this talk, I will introduce a modern approach to quantum thermodynamics on the basis of resource theory, a branch of ... [more] | |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 09:50 |
Online | Online | Correction methods of blood volume change-derived noise in flavoprotein fluorescence imaging in vivo Shunya Okano, Ryunosuke Togawa, Kentaro Oka, Mitsuyuki Nakao, Norihiro Katayama (Tohoku Univ) MBE2020-13 |
The flavoprotein autofluorescence imaging (FAI) is a functional optical imaging method of the brain that utilizes the gr... [more] | MBE2020-13 pp.5-8 |
| COMP | 2020-10-23 17:05 |
Osaka | Osaka Univ. (Primary: On-site, Secondary: Online) |
Polynomial Delay Enumeration for Steiner Problems Yasuaki Kobayashi (Kyoto Univ.), Kazuhiro Kurita (NII), Kunihiro Wasa (Toyohashi Tech) COMP2020-17 |
Let $G = (V, E)$ be a undirected graph and let $W subseteq V$ be a set of terminals. A emph{Steiner subgraph} of $(G, W)... [more] | COMP2020-17 pp.39-46 |
| RCS, SR, SRW (Joint) |
2020-03-04 11:35 |
Tokyo | Tokyo Institute of Technology (Cancelled but technical report was issued) |
Improving In-Band Full-Duplex Capacity by Transmitter Nonlinearization using Digital Predistortion Chua Teong Zhe, Kazuki Komatsu, Yuichi Miyaji, Hideyuki Uehara (Toyohashi Univ. of Tech.) RCS2019-338 |
In-band full-duplex (IBFD) is expected to have higher throughput or spectral efficiency compared to conventional wireles... [more] | RCS2019-338 pp.99-104 |
| COMP | 2020-03-01 11:30 |
Tokyo | The University of Electro-Communications (Cancelled but technical report was issued) |
[Invited Talk]
Adaptive Algorithm for Finding Connected Dominating Sets in Uncertain Graphs Takuro Fukunaga (Chuo Univ.) COMP2019-48 |
The problem of finding a minimum-weight connected dominating set (CDS) of a given undirected graph has been studied acti... [more] | COMP2019-48 p.23 |
| OME | 2019-12-20 16:35 |
Saga | avancée (Saga city) | Highly Sensitive Detection of Proteins by Organic Transistors Functionalized with Metal Complex-Type Artificial Receptors Tsukuru Minamiki, Koichiro Asano, Yui Sasaki, Riku Kubota, Tsuyoshi Minami (Univ. Tokyo) OME2019-46 |
Protein sensors with artificial receptors are still a challenging task despite their attractive features such as chemica... [more] | OME2019-46 pp.45-48 |
| RISING (2nd) |
2019-11-26 10:30 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Poster Presentation]
Automatic error identification method in call control protocol Keishu Umoto, Shingo Ata (Osaka City Univ.), Yasubumi Chimura, Nobuyuki Nakamura, Taketsugu Yao (OKI) |
The number of IP phone users is increasing. Thus, the number of errors in IP phone increases, and various factors cause ... [more] | |
| CPSY, DC, IPSJ-ARC [detail] | 2019-07-25 13:55 |
Hokkaido | Kitami Civic Hall | A Study on Multiple-error Correction for Matrix-Product Computation Using Steiner Triple System Yuki Katsu, Haruhiko Kaneko (Tokyo Tech) CPSY2019-26 DC2019-26 |
Improving the reliability of matrix multiplication is a very important factor for the technologies in which matrix multi... [more] | CPSY2019-26 DC2019-26 pp.123-127 |
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