Thanawit Gerdpraser, Aya Hagihara, Kastsuya Yamamoto, Sakuya Inanaga, Shingo Mabu. Sentimental Analysis on SNS during the COVID-19 Pandemic Using BERTopic to Uncover Insights of the Outbreak. The Twenty-Ninth International Symposium on Artificial Life and Robotics 2024 (AROB 29th 2024). 2024. 60-64
Shingo Mabu, Yutaro Shibata, Thanawit Gerdpraser. Landslide Area Segmentation of Synthetic Aperture Radar Images Using U-net with Convolutional Autoencoder Trained by Pre-training and Fine-tuning. The Twenty-Ninth International Symposium on Artificial Life and Robotics 2024 (AROB 29th 2024). 2024. 673-677
Thanawit Gerdpraser, Shingo Mabu. Combination of Contrastive Perturbation and Ensemble Learning on Pseudo-Labeling Using CNN & ViT for COVID-19 X-ray Classification. The Twenty-Ninth International Symposium on Artificial Life and Robotics 2024 (AROB 29th 2024). 2024. 50-54
Yoshihito Ichiuji, Shingo Mabu, Satomi Hatta, Kunihiro Inai, Shohei Higuchi, Shoji Kido. Domain transformation using semi-supervised CycleGAN for improving performance of classifying thyroid tissue images. International Journal of Computer Assisted Radiology and Surgery. 2024
Takashi Kuremoto, Kazuma Fujino, Hirokazu Takahashi, Shun Kuremoto, Mamiko Koshiba, Hiroo Hieda, Shingo Mabu. Restoration of Guqin Music by Deep Learning Methods. Proc. of the 2024 International Conference on Artificial Life and Robotics (ICAROB2024). 2024. 320-324
Shingo Mabu. Landslide Area Detection from Synthetic Aperture Radar (SAR) Images Using Convolutional Neural Networks. Systems, Control and Information. 2021. 65. 2. 39-46
Shingo Mabu. Effective learning methods on a small number of training data. Clinical Imagiology. 2019. 34. 10. 1157-1168
Fundamentals and Trends of Artificial Intelligence (AI) and University Initiatives
(2023)
AI/Machine Learning Methods for Making Use of Limited Number of Training Data and Its Applications to Medical Data Analysis
(The sixth workshop of Committee for the Creation of AI-based Systems 2022)
Prediction of Physical Activity and Evaluation of Test Item Importance in Chronic Obstructive Pulmonary Disease Using Neural Network
(The 13th Japanese Society of Pulmonary Functional Imaging 2022)
Study on the Prediction of Physical Activity of COPD Patients Using Autoencoder
(JAMIT Annual Meeting 2021 2021)
2003 - 2006 Waseda University Graduate School of Information Production and Systems
2001 - 2003 Kyushu University Graduate School of Information Science and Electrical Engineering Department of Electrical and Electronic System Engineering
1997 - 2001 Kyushu University School of Engineering Electrical Engineering and Computer Science
Professional career (3)：
Doctor of Engineering (Waseda University)
Master of Engineering (Kyushu University)
学士(工学) (九州大学)
Work history (9)：
2020/10 - 現在 Yamaguchi University Graduate School of Sciences and Technology for Innovation Professor
2017/03 - 2020/09 Yamaguchi University Graduate School of Sciences and Technology for Innovation Associate Professor
2016/04 - 2017/03 Yamaguchi University Graduate School of Sciences and Technology for Innovation Assistant Professor
2012/09 - 2016/03 Yamaguchi University Graduate School of Science and Engineering Assistant Professor
2009 - 2012/08 Waseda University Faculty of Science and Engineering
2007 - 2008 Waseda University Graduate School of Information Production and Systems
2006 - 2007 (財)北九州産業学術推進機構 特別研究員
2006 - 2007 Waseda University Research Institute for Science and Engineering Visiting Lecturer
2019/01 - IFMIA2019 IFMIA Best Paper Award Analysis of the Effects of Transfer Learning on Opacity Classification of Diffuse Lung Diseases Using Convolutional Neural Network
2018/07 - 山口大学工学部 最優秀授業 ものづくり創成実習II(2017)
2016/12 - IRE-Asia Consortium Best Paper Award Learning Embedding Functions for Instance-based Reinforcement Learning with Matching Networks
2015/01/17 - International Conference on Artificial Life and Robotics Best Paper Award at The 2015 International Conference on Artificial Life and Robotics
