会議論文 · 2023
Improving model evaluation scores on small data with semi-supervised learning (Бага өгөгдөлд холимог хяналттай сургалтын аргаар загварын үнэлгээг ихэсгэх нь)
Jargalsaikhan Orgil, Dashdorj Zolzaya, Batchuluun Munkh-Orgil
MMT 2023
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Dr. Orgil received his BSc (2009) and MSc (2011) in Information Technology from MUST and completed his doctoral course at the Graduate School of Advanced Technology and Science, Tokushima University, Japan (2018-2022). He has taught at SICT since 2009 and currently teaches machine learning, deep learning, image processing, multi-agent systems and embedded systems. His research covers multimodal emotion recognition, continual learning, and Mongolian handwritten text recognition.
研究関心
スキル
PythonC/C++MATLABOpenCVPyTorch
学歴
- 2018-2022 — 博士課程、徳島大学
- 2009-2011 — 修士(情報技術)、MUST
- 2005-2009 — 学士(情報技術)、MUST
論文
会議論文 · 2023
Mongolian Cyrillic handwritten text recognition from image, dataset and benchmark
Erdenebat Battsetseg, Jargalsaikhan Orgil, Tserenlkham Enkhmaa
Khureltogoot 2023 (ISSN 2664-6986)
会議論文 · 2021
Continual learning: Linear layer classifier concatenation using image processing transform functions
Jargalsaikhan Orgil, Stephen Karungaru, Kenji Terada
QCAV 2021
学術論文 · 2021
Multimodal Emotion Recognition Using Non-Inertial Loss Function
Jargalsaikhan Orgil, Stephen Karungaru, Kenji Terada, Ganbold Shagdar
Journal of Signal Processing, Vol. 25, pp. 73-85
会議論文 · 2019
Facial emotion recognition accuracy improvement using deep learning
Jargalsaikhan Orgil, Stephen Karungaru
ACEAT, Kyoto, Japan, pp. 88-93