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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-04 10:22 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Robust segmentation approach over various training-to-test ratios for gross tumor volumes of lung cancer based on fused outputs Yunhao Cui, Hidetaka Arimura (Kyushu Univ.), Yuko Shirakawa (National Hospital Organization Kyushu Cancer), Tadamasa Yoshitake (Kyushu Univ.), Yoshiyuki Shioyama (Saga HIMAT), Hidetake Yabuuchi (Kyushu Univ.)  MI2023-68 |
This study investigates robust deep learning (DL) methods for segmenting lung cancer from stereotactic body radiotherapy... [more] | MI2023-68 pp.117-118 |
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Sparse identification of quantum dynamics via quantum circuit learning Yusei Tateyama, Yuzuru Kato (FUN) |
Sparse Identification of Nonlinear Dynamics (SINDy) is a data-driven method for estimation and prediction of nonlinear d... [more] | |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Gaze features representing anticipatory gaze and machine learning models for predicting Self-Efficacy
-- From data in use of a rotational transformation mouse -- Yuka Hayakawa, Saki Tanaka, Airi Tsuji (TUAT), Junichi Yamamoto (TMU), Kaori Fujinami (TUAT) |
Self-efficacy is the degree of confidence in one's ability to perform a behavior, and has been attempted to apply to pr... [more] | |
| SANE | 2023-11-13 15:20 |
Chiba | Chiba Univ. (Nishi-Chiba Campus) (Primary: On-site, Secondary: Online) |
NDVI Prediction with SAR Data Using Interferometric Coherence Raiki Kudo (UTokyo), Seisuke Fukuda (JAXA) SANE2023-57 |
The Normalized Difference Vegetation Index (NDVI) obtained by optical remote sensing is an indicator of vegetation densi... [more] | SANE2023-57 pp.58-63 |
| IA, SITE, IPSJ-IOT [detail] | 2023-03-16 15:35 |
Gunma | Maebashi Institute of Technology (Primary: On-site, Secondary: Online) |
Model compression by pruning of CNN based on perceptual hashes Shota Mishina, Tetsuya Morizumi, Hirotsugu Kinoshita (Kanagawa Univ.) SITE2022-59 IA2022-82 |
Message digests that identify images are indispensable for secure and convenient copyright management of digital content... [more] | SITE2022-59 IA2022-82 pp.28-34 |
| SIS | 2023-03-02 13:30 |
Chiba | Chiba Institute of Technology (Primary: On-site, Secondary: Online) |
An image watermarking method using adversarial perturbations Sei Takano, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.) SIS2022-43 |
The performance of convolutional neural networks (CNNs) has been dramatically improved in recent years, and they have at... [more] | SIS2022-43 pp.15-20 |
| SeMI, SeMI (Joint) |
2023-01-20 10:20 |
Tokushima | Naruto grand hotel (Primary: On-site, Secondary: Online) |
Arterial Blood Pressure Waveform Estimation from Photoplethysmogram under Inter-subject Paradigm by U-Net and Domain Adversarial Training Rikuto Yoshizawa, Kohei Yamamoto, Tomoaki Ohtsuki (Keio) SeMI2022-96 |
Blood pressure (BP) estimation methods using photoplethysmogram (PPG) signals based on deep learning models have been ac... [more] | SeMI2022-96 pp.113-118 |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Estimating emotional intensity in time series using speech sound features Megumi Kawase, Minoru Nakayama (Tokyo Tech) |
In order to estimate the emotion of speech utterances, deep learning models using speech features have only been able to... [more] | |
| CAS, MSS, IPSJ-AL [detail] | 2022-11-18 13:05 |
Kochi | (Primary: On-site, Secondary: Online) |
An Analysis of Model Parameters Propagation over Decentralized Federated Learning Koshi Eguchi, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-51 MSS2022-34 |
Although there have been many studies on Decentralized Federated Learning (DFL), few have focused on the propagation of ... [more] | CAS2022-51 MSS2022-34 pp.67-70 |
| OPE, OCS, LQE | 2022-10-20 17:10 |
Ehime | (Primary: On-site, Secondary: Online) |
Structural Design by Deep Learning for Improving Coupling Efficiency between Si Thin Wire and Topological Waveguide Itsuki Sakamoto, Tomohiro Amemiya, Sho Okada, Hibiki Kagami, Nobuhiko Nishiyama (Tokyo Tech), Xiao Hu (NIMS) OCS2022-25 OPE2022-71 LQE2022-34 |
We propose a structure design method using deep learning to achieve highly efficient coupling between a normal Si wavegu... [more] | OCS2022-25 OPE2022-71 LQE2022-34 pp.45-50 |
| AP | 2022-10-20 14:00 |
Gifu | GIFU CITY CULTURE CENTER (Primary: On-site, Secondary: Online) |
A Study on Rain Attenuation Prediction Method by Deep Learning 2
-- Error Characteristics -- Yuji Komatsuya, Tetsuro Imai (TDU), Miyuki Hirose (Kyutech) AP2022-141 |
Recently, the frequency used in wireless systems has got higher significantly, such as B5G (6G), HAPS, etc., and the imp... [more] | AP2022-141 pp.211-215 |
| EMCJ, MW, EST, IEE-EMC [detail] | 2022-10-13 09:05 |
Akita | Akita University (Primary: On-site, Secondary: Online) |
An estimation of magnetic coupling coefficient between parallel two MSLs using machine leaning of near field information Yusuke Sato, Sho Muroga, Hidefumi Kamozawa, Motoshi Tanaka (Akita Univ.) EMCJ2022-35 MW2022-81 EST2022-45 |
An estimation method of the magnetic coupling coefficient between printed-circuit-board-level lines using a near field i... [more] | EMCJ2022-35 MW2022-81 EST2022-45 pp.1-5 |
| IN, CCS (Joint) |
2022-08-04 14:00 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
On Learning of MLP by PSO with Perturbation Riku Takatou, Kenya Jin'no (Tokyo City Univ.) CCS2022-32 |
Attempt to learn the coupling coefficients of a multiclass classifier using a simplified multilayer perceptron (MLP) wit... [more] | CCS2022-32 pp.30-34 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-14 13:25 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Deep Reinforcement Learning-based IRS-aided Wireless Communication without Channel State Information Hashida Hiroaki, Kawamoto Yuichi, Kato Nei (Tohoku Univ.), Iwabuchi Masashi, Murakami Tomoki (NTT) RCS2022-85 |
Intelligent reflecting surfaces (IRSs) have attracted attention as devices that enable radio propagation, which has been... [more] | RCS2022-85 pp.84-89 |
| IBISML | 2022-03-09 13:55 |
Online | Online | Learning coefficients of deep linear neural networks Ryuji Ito, Miki Aoyagi, Seikai Ashizawa, Yuki Tsukamoto (Nihon Univ.), Daisuke Kaji (Denso) IBISML2021-45 |
Recently, the learning theory has been analyzed based on resolution of learning machine singularities in algebraic geome... [more] | IBISML2021-45 pp.46-52 |
| HIP, ITE-HI, ASJ-H, VRPSY [detail] | 2022-02-28 09:45 |
Online | Online | Estimation of speech emotional intensity model using impression ratings Megumi Kawase, Minoru Nakayama (Tokyo Tech) HIP2021-66 |
We used deep learning to estimate emotional intensity from speech. In our previous study, we considered emotional intens... [more] | HIP2021-66 pp.42-47 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 10:15 |
Online | Online | Contrastive Self-Supervised Learning Framework for Unsupervised Video Summarization Xianliang Zhang, Li Tao (UTokyo), Xueting Wang (CyberAgent AI Lab), Toshihiko Yamasaki (UTokyo) ITS2021-44 IE2021-53 |
The rapid growth of video data aggravates the effort by viewers in exploring informative data. This paper presents a fra... [more] | ITS2021-44 IE2021-53 pp.115-120 |
| SWIM | 2021-11-27 14:10 |
Online | Online | Studies of maximum electricity forecasting model including electricity market price
-- Time series analysis with extra regressors added -- Hiroyuki Ogura (Nihon Univ.), Shunsuke Managi (Kyushu Univ.) SWIM2021-27 |
As one of the solutions to the difficult problem of achieving both stable electricity supply and decarbonization, improv... [more] | SWIM2021-27 pp.7-14 |
| HIP | 2021-10-22 13:10 |
Online | Online | A scanpath prediction model using deep learning considering the context of the gazing objects Yuhei Ohsawa, Takeshi Kohama (Kindai Univ.) HIP2021-43 |
Since the human gaze is a biological signal which reflects internal states such as consciousness and attention, it is po... [more] | HIP2021-43 pp.69-74 |
| MI | 2021-07-09 14:30 |
Online | Online | Asynchrony analysis of diaphragmatic movement for evaluation of respiratory dynamics in COPD patients Xiao Tan (Chiba Univ.), Yuma Iwao (QST), Chen Ye, Kotaro Takahashi (Chiba Univ.), Yoshitada Masuda (Chiba Univ. Hospital), Ayako Shimada, Naoko Kawata, Hideaki Haneishi (Chiba Univ.) MI2021-20 |
The state of lung movement is an important index for the diagnosis of the chronic obstructive pulmonary disease (COPD). ... [more] | MI2021-20 pp.47-51 |
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