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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA, ASJ-H, ASJ-MA, ASJ-SP | 2023-07-02 15:35 |
Hokkaido | Comparison of the Performance between CNN and CRNN Models for Screening Pathological Speech Using Spectrogram Images Naofumi Aoki (Hokkaido Univ.), Keiki Zen (Industrial Research Institute, Hokkaido Research Organization) |
(To be available after the conference date) [more] | ||
| EA, ASJ-H, ASJ-MA, ASJ-SP | 2023-07-02 16:25 |
Hokkaido | Intracranial pressure estimation method by pressure pulse wave analysis in the ear canal Kenji Furihata, Tetsuya Goto, Kazuhiro Hongo (Shinshu Univ.) |
(To be available after the conference date) [more] | ||
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-06-29 16:50 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara (NTT) |
(To be available after the conference date) [more] | |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-06-30 11:10 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
On performance degradation of a method by minimizing the conditional mutual information for the out-of-distribution generalization Genki Takahashi, Toshiyuki Tanaka (Kyoto University) |
(To be available after the conference date) [more] | |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-23 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Data Augmentation by Synthesised Voice for Deep Learning-based A Cappella Separation Kyoka Kazama (TMU), Yuma Kinoshita (Tokai Univ.), Natsuki Ueno, Nobutaka Ono (TMU) |
(To be available after the conference date) [more] | |
| DE | 2023-06-16 09:50 |
Tokyo | Musashino University (Primary: On-site, Secondary: Online) |
[Short Paper]
Question Suggestion Method through Real-Time Question Mutual Evaluation to develop Critical Thinking Skills Saki Inoue (KGU), Yuanyuan Wang (YU), Yukiko Kawai (KSU/OU), Kazutoshi Sumiya (KGU) |
(To be available after the conference date) [more] | |
| WIT | 2023-06-16 14:20 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Study on Sign Language Recognition Using Deep Learning
-- Recognition by conformer with the introduction of two-word sentences -- Kouki Ikeda, Tsutomu Kimura (National Institute of Technology,Toyota College) |
(To be available after the conference date) [more] | |
| SIS, IPSJ-AVM [detail] | 2023-06-15 11:35 |
Shimane | NIT, Matsue College (Primary: On-site, Secondary: Online) |
Detection of Calcification Regions from Dental Panoramic Radiograph Based on Semantic Segmentation Using Transformers Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital,) |
(To be available after the conference date) [more] | |
| SITE, IPSJ-EIP | 2023-06-13 10:50 |
Tokyo | Rissho Univ. Shinagawa Campus | Case-based Learning on Data Utilization and Personal Information Protection with Jigsaw Method Daisuke Suzuki (Hokuriku Univ.)  SITE2023-1 |
(To be available after the conference date) [more] | SITE2023-1 pp.1-4 |
| SC | 2023-06-02 14:15 |
Fukushima | UBIC 3D Theater, University of Aizu (Primary: On-site, Secondary: Online) |
DEAP Dataset for Emotion Recognition Based on Transformer Wu Ao, Incheon Paik (Aizu Univ.) SC2023-4 |
The recognition of emotions from physiological signals has gained significant attention in recent years due to its poten... [more] | SC2023-4 pp.18-23 |
| SC | 2023-06-03 10:35 |
Fukushima | UBIC 3D Theater, University of Aizu (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Understanding transfer learning for medical image classification. Dao Ngoc HOng, Paik Incheon (UoA) SC2023-9 |
Transfer learning is one of the critical solutions to deal with the problem of data scarcity, where the learning process... [more] | SC2023-9 pp.48-52 |
| SC | 2023-06-03 11:05 |
Fukushima | UBIC 3D Theater, University of Aizu (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Predicting Depression on Twitter with Word Embedding by Pretrained Language Model Shen Zheqi, Paik Incheon (UoA) SC2023-10 |
Depression is a common mental illness. In the field of Natural Language Processing, the research of how to detect and an... [more] | SC2023-10 pp.53-58 |
| MICT, WBS, RCC, SAT (Joint) [detail] |
2023-05-25 14:50 |
Tokyo | TOKYO BIG SIGHT (Primary: On-site, Secondary: Online) |
Estimation Technique of Carrier to Noise Ratio of Wireless Medical Telemeter Using Soft Defined Radio with Machine Learning Kai Ishida (Junshin Gakuen Univ.) SAT2023-3 MICT2023-3 |
I developed a novel machine-learning model to estimate the carrier-to-noise ratio (CNR) of wireless medical telemeter (W... [more] | SAT2023-3 MICT2023-3 pp.10-15 |
| MICT, WBS, RCC, SAT (Joint) [detail] |
2023-05-26 11:40 |
Tokyo | TOKYO BIG SIGHT (Primary: On-site, Secondary: Online) |
A study on modulation and demodulation methods applying object detection DNN for digital signage and image sensor-based visible light communication Yuya Miki, Kentaro Kobayashi, Wataru Chujo (Meijo Univ) WBS2023-8 RCC2023-8 |
This study discusses a visible light communication system using a digital signage as a transmitter and an image sensor a... [more] | WBS2023-8 RCC2023-8 pp.41-46 |
| SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS | 2023-05-18 17:20 |
Okinawa | Okinawa Institute of Science and Technology (OIST) (Primary: On-site, Secondary: Online) |
A heuristic method for optimization of model transfer route in decentralized federated learning Kota Maejima, Takayuki Nishio, Asato Yamazaki, Yuko Hara-Azumi (Tokyo Tech) SeMI2023-5 |
Decentralized FL (Decentralized Federated Learning) is a machine learning technique in which clients construct a model c... [more] | SeMI2023-5 pp.20-22 |
| PRMU, IPSJ-CVIM | 2023-05-19 15:25 |
Aichi | (Primary: On-site, Secondary: Online) |
Prompt Learning for Object Detection with Vision-Language Model Mariko Tomariguchi (OKI) PRMU2023-12 |
The two-stage object detection models crop features in the regions where objects are most likely to be to classify the o... [more] | PRMU2023-12 pp.62-67 |
| SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS | 2023-05-18 17:35 |
Okinawa | Okinawa Institute of Science and Technology (OIST) (Primary: On-site, Secondary: Online) |
Wireless Signal-guided Image Inpainting with Attention Mechanism Cheng Chen, Shoki Ohta, Takayuki Nishio (Tokyo Tech), Mehdi Bennis (Univ. Oulu), Jihong Park (Deakin Univ.), Mohamed Wahib (RIKEN) SeMI2023-6 |
This paper proposes a novel image inpainting method that combines channel state information (CSI) and transformer archit... [more] | SeMI2023-6 pp.23-25 |
| SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS | 2023-05-18 18:20 |
Okinawa | Okinawa Institute of Science and Technology (OIST) (Primary: On-site, Secondary: Online) |
Mobility-Aware Timing Control of Parameter Aggregation in Edge Federated Learning Shota Ono (Univ. of Tokyo), Taku Yamazaki, Takumi Miyoshi (Shibaura Inst. of Tech.), Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki (Univ. of Tokyo) SeMI2023-7 |
Services that utilize region-specific data collected by onboard vehicle sensors have been attracting attention. In thes... [more] |
SeMI2023-7 pp.26-29 |
| SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS | 2023-05-19 09:45 |
Okinawa | Okinawa Institute of Science and Technology (OIST) (Primary: On-site, Secondary: Online) |
Experimental evaluation of Split computing using actual device Kojin Yorita, Shoki Ohta, Kota Maejima, Kanare Kodera, Yutaro Horikawa, Takayuki Nishio (Tokyo Tech), Kozo Fukui (AceCode) SeMI2023-12 |
Machine learning (ML) inference using Deep Neural Network (DNN) with a technique called Split Computing (SC) has attract... [more] | SeMI2023-12 pp.50-52 |
| CS, CQ (Joint) |
2023-05-18 15:10 |
Kagawa | Rexxam Hall (Kagawa Kenmin Hall) (Primary: On-site, Secondary: Online) |
On the performance of sorting out invalid jobs in scheduling using the policy gradient method for deadline-aware jobs Tatusya Sagisaka, Kohei Shiomoto (TCU), Takashi Kurimoto (NII) CQ2023-1 |
When transferring data in the field of communication between data centers, existing methods such as Earliest Deadline Fi... [more] | CQ2023-1 pp.1-6 |
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