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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE (Joint) |
2024-03-12 14:45 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Investigating the Effect of Skip Connection on Learning Dynamics in the Initial Learning Process of Deep Neural Networks Ryodo Yuge, Takashi Shinozaki (Kindai Univ.)  NC2023-59 |
We visualize the impact of skip connections, a key element in residual networks (ResNet), and visualize its impact on th... [more] | NC2023-59 p.94 |
| SS | 2024-03-07 17:45 |
Okinawa | (Primary: On-site, Secondary: Online) |
For evaluating the effectiveness of CodeT5 transfer learning in refactoring recommendations. Yuto Nakajima, Kenji Fujiwara (Tokyo City University) SS2023-62 |
Refactoring is "the process of restructuring the internal architecture of software to make it easier to understand and m... [more] | SS2023-62 pp.79-84 |
| MI | 2024-03-03 10:17 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Electric field regression from head MR image by transformers for TMS Toyohiro Maki, Tatsuya Yokota, Akimasa Hirata, Hidekata Hontani (NIT) MI2023-36 |
Transcranial Magnetic Stimulation (TMS) is a non-invasive stimulation method by electric field induced by a coil placed ... [more] | MI2023-36 pp.21-24 |
| MI | 2024-03-03 10:40 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Pilot study of multitask learning for upper abdominal organ extraction and lesion detection on PET/CT images Kohei Yoshida, Mitsutaka Nemoto, Kazuki Otani (Kindai Univ.), Hayato Kaida (KU Hosp), Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami (Kindai Univ.), Takahiro Yamada, Kohei Hanaoka (KU Hosp), Tatsuya Tsuchitani, Kazuhiro Kitajima (HMU Hosp), Kazunari Ishii (KU Hosp) MI2023-37 |
As one of the studies for highly accurate detection of adrenal metastatic lesions on FDG-PET/CT images, multi-task learn... [more] | MI2023-37 pp.25-27 |
| MI | 2024-03-03 11:28 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Recognition of Tooth Types in Dental Panoramic Radiographs Containing Deciduous Teeth Using CNN-based Object Detection Koki Sakai (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Yuta Seino (Osaka Univ.), Ryo Takahashi, Tatsuro Hayashi (EyeTech), Wataru Nishiyama (Asahi Univ.), Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.) MI2023-41 |
Panoramic radiographs are widely used in dentistry. However, checking each tooth and recording it in the patient's denta... [more] | MI2023-41 pp.34-35 |
| MI | 2024-03-03 14:30 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Latest Research Trends 2023: Machine Learning for Medical Image Processing Fukashi Yamazaki (Canon) MI2023-48 |
In this paper, we overview the outlines of MICCAI 2023’s main conference sessions and satellite workshops. Several inter... [more] | MI2023-48 pp.53-55 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-04 09:36 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Disabling Adversarial Examples through Color Information Processing Ryo Soeda, Masato Uchida (Waseda Univ.) PRMU2023-67 |
Image classification using neural networks is expected to have a wide range of applications, including automated driving... [more] | PRMU2023-67 pp.94-99 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-04 11:10 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Towards Client-aware Clustering Federated Learning based on Representations of Local Models Tatsuya Kaneko, Shinya Takamaeda-Yamazaki (Tokyo Univ.) IBISML2023-49 |
In the current era of rapidly expanding machine learning, there has been growing concerns and awareness of data privacy ... [more] | IBISML2023-49 pp.65-70 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-04 15:54 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Conversion Prediction in Internet Advertising Using the Law of Diminishing Marginal Utility Keiya Unno (Waseda Univ.), Daichi Iwata, Hiroaki Tanaka (OPT), Masato Uchida (Waseda Univ.) PRMU2023-80 |
The importance of Internet advertising in marketing is increasing every year. An advertising agency is using machine lea... [more] | PRMU2023-80 pp.168-173 |
| MI | 2024-03-04 13:28 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Experimental validation of relationship between training data amount and accuracy of automatic annotation in developing image diagnosis AI Koki Muranaka, Mitsutaka Nemoto, Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami, Yukako Nakamae (Kindai Univ.), Takeharu Yoshikawa (Tokyo Univ.) MI2023-77 |
To reduce the development cost of image diagnosis AI systems, we have studied and proposed an automatic process for crea... [more] | MI2023-77 pp.149-151 |
| R | 2024-02-29 17:10 |
Shimane | Comparison of OSS Reliability Assessment Methods Based on Deep Learning Considering the Wiener and Jump Diffusion Processes Yoshinobu Tamura, Shoichiro Miyamoto, Lei Zhou (Yamaguchi Univ.), Shigeru Yamada (Tottori Univ.) R2023-63 |
In many research fields, the methods based on deep learning have been proposed. In this paper, we propose the method of ... [more] | R2023-63 pp.46-51 |
|
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 10:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
An Investigation into Weighting Strategies for Model Averaging in Continual Learning for Automatic Speech Recognition Kentaro Shinayama, Hiroshi Sato, Tomoharu Iwata, Takeshi Mori, Taichi Asami (NTT) EA2023-105 SIP2023-152 SP2023-87 |
In recent years, the application scope of speech recognition AI has expanded, enabling the acquisition of diverse data d... [more] | EA2023-105 SIP2023-152 SP2023-87 pp.262-267 |
| SeMI, IPSJ-UBI, IPSJ-MBL | 2024-02-29 15:10 |
Fukuoka | Evaluation Experiment of Display Camera Visible Light Communication Using Adversarial Examples on a Monocular Depth Estimation Model Changseok Lee, Hiraku Okada (Nagoya Univ.), Tadahiro Wada (Shizuoka Univ.), Chedlia Ben Naila, Masaaki Katayama (Nagoya Univ.) SeMI2023-75 |
Hidden display-camera visible light communication is a method of embedding data in visual information such as images and... [more] | SeMI2023-75 pp.25-30 |
|
| NS, IN (Joint) |
2024-02-29 09:45 |
Okinawa | Okinawa Convention Center | Communication cost and performance evaluation of each learning method in Federated learning with LLM Takumi Fukami, Yusuke Yamasaki, Iifan Tyou (NTT) IN2023-66 |
In recent years, a large amount of diverse data have been generated by various devices and organisations, and there has ... [more] | IN2023-66 pp.7-12 |
| NS, IN (Joint) |
2024-02-29 10:10 |
Okinawa | Okinawa Convention Center | Model Shifting Method in Federated Learning Using Distillation Hiromichi Yajima (SIT), Shota Ono (The Univ. of Tokyo), Takumi Miyoshi, Taku Yamazaki (SIT) NS2023-186 |
Due to the drastic increase in the data for machine learning, distributed machine learning such as federated learning ha... [more] | NS2023-186 pp.86-89 |
| NS, IN (Joint) |
2024-03-01 11:35 |
Okinawa | Okinawa Convention Center | Application of a Deep Reinforcement Learning Algorithm to Virtual Machine Migration Control in Multi-Stage Information Processing Systems Yuki Kojitani (Okayama Univ.), Kazutoshi Nakane (Nagoya Univ.), Yuya Tarutani (Okayama Univ.), Celimuge Wu (UEC), Yusheng Ji (NII), Tokumi Yokohira (Okayama Univ.), Tutomu Murase (Nagoya Univ.), Yukinobu Fukushima (Okayama Univ.) IN2023-87 |
This paper tackles a virtual machine (VM) migration control problem to maximize the progress (accuracy) of information p... [more] | IN2023-87 pp.130-135 |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-26 15:46 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | PRMU2023-48 |
In the realm of autonomous driving, end-to-end models (E2EDMs) have gained prominence due to their high predictive accur... [more] | PRMU2023-48 pp.46-49 |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-26 15:58 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | An attempt to determine stenosis from coronary stretch images using deep learning Tetsuya Asakawa, Hiroki Shinoda, Yuta Fukatsu (TUT), Takuya Togawa, Kazuki Shimizu (THC), Masaki Aono (TUT) PRMU2023-49 |
Coronary artery stenosis, one of the most common heart diseases, is diagnosed by a human, which is a time-consuming and ... [more] | PRMU2023-49 pp.50-55 |
| CQ, CBE (Joint) |
2024-01-26 13:15 |
Kumamoto | Kurokawa-Onsen (Primary: On-site, Secondary: Online) |
Estimating the best time to collect pear pollen using deep learning Keita Endo (NIT), Tomotaka Kimura (Doshisha Univ.), Hiroyuki Shimizu (NIT), Tomohito Shimada (SATRC), Akane Shibasaki (SAFPC), Ryota Fujinuma (DKK), Yoshihiro Takemura (Tottori Univ.), Takefumi Hiraguri (NIT) CQ2023-65 |
Pear pollination is generally done by artificial pollination, and pollen collection is necessary for artificial pollinat... [more] | CQ2023-65 pp.68-75 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 16:00 |
Tokushima | Naruto University of Education | Design of an Efficient Activity Classification Model Focusing on the Characteristics of Egocentric Videos Kohei Baba, Kantaro Fujiwara (University of Tokyo), Gouhei Tanaka (Nagoya Institute of Technology) NLP2023-116 MICT2023-71 MBE2023-62 |
There are situations where egocentric videos have to be processed on wearable devices with limited computational resourc... [more] | NLP2023-116 MICT2023-71 MBE2023-62 pp.153-157 |
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