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J-GLOBAL ID:201601006115240171   Update date: Jan. 26, 2025

Harada Tatsuya

Harada Tatsuya
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Affiliation and department:
Job title: Professor
Research field  (1): Intelligent informatics
Research theme for competitive and other funds  (11):
  • 2020 - 2024 Explainable AI diagnostic system for breast cancer using tomosynthesis
  • 2019 - 2023 少数データからの高精度な画像認識アルゴリズムの構築に関する研究
  • 2020 - 2022 実世界における知識獲得のための対話システムの構築
  • 2012 - 2017 Revealing the principles of early development and its disorders based on simulation of the fetus and neonate
  • 2014 - 2016 Image Reconstruction from Bag of Visual Words using Large-scale Image Data
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Papers (106):
  • Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada. Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 2024. 38. 13. 14474-14481
  • Kai Katsumata, Duc Minh Vo, Tatsuya Harada, Hideki Nakayama. Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2024
  • Haruki Abe, Takayuki Osa, Motoki Omura, Jen-Yen Chang, Tatsuya Harada. Latent Space Curriculum Reinforcement Learning in High-Dimensional Contextual Spaces and Its Application to Robotic Piano Playing. Humanoids. 2024. 266-273
  • Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada. Stabilizing Extreme Q-learning by Maclaurin Expansion. RLJ. 2024. 3. 1427-1440
  • Yusuke Mori 0001, Hiroaki Yamane, Yusuke Mukuta, Tatsuya Harada. Computational Storytelling and Emotions: A Survey. CoRR. 2022. abs/2205.10967
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