Updated on 2025/04/02

写真a

 
TAKEUCHI Ichiro
 
Organization
Graduate School of Engineering Mechanical Systems Engineering 2 Professor
Graduate School
Graduate School of Engineering
Undergraduate School
School of Engineering Mechanical and Aerospace Engineering
Title
Professor

Degree 3

  1. Doctor of Engineering ( 2000.3   Nagoya University ) 

  2. Master of Engineering ( 1998.3   Nagoya University ) 

  3. Bachelor of Engineering ( 1996.3   Nagoya University ) 

Research Interests 6

  1. Machine Learning

  2. Data Science

  3. Artificial Intelligence

  4. Data-Driven Science & Technology

  5. Biomedical Informatics

  6. Material Informatics

Research Areas 1

  1. Informatics / Intelligent informatics  / Machine Learning, Data Science, Artificial Intelligence

Research History 7

  1. Nagoya University   Graduate School of Engineering Mechanical Systems Engineering 2   Professor

    2022.4

  2. RIKEN   Center for Advanced Intelligence Project   Head

    2016.10

  3. Nagoya Institute of Technology   Department of Computer Science, Fuculty of Engineering   Professor

    2015.4 - 2022.3

  4. Nagoya Institute of Technology   Department of Computer Science, Faculty of Engineering   Associate professor

    2008.4 - 2015.3

  5. Mie University   Department of Computer Science, Faculty of Engineering   Assistant Professor

    2001.8 - 2008.3

  6. Japan Society for Promotion of Science   Researcher

    2000.1 - 2001.7

  7. RIKEN   Biomimetic Control Center   Researcher

    1999.4 - 1999.12

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Education 3

  1. Nagoya University   Graduate School of Engineering   Department of Electrical Engineering

    1998.4 - 2000.3

  2. Nagoya University   Graduate School of Engineering   Department of Information Engineering

    1996.4 - 1998.3

  3. Nagoya University   School of Engineering   Department of Electical Engineering, Electronics and Information Engineering

    1992.4 - 1996.3

Professional Memberships 2

  1. 電子情報通信学会

    2008.4

  2. 日本統計学会

    2008.4

 

Papers 51

  1. Machine Learning for Classifying and Generating Videos of Pathological Image Observation Process Reviewed

    Shota Kawakami, Noriaki Hashimoto, Hiroaki Miyoshi, Jun Sakuma, Hidekata Hontani, Koichi Ohshima, Ichiro Takeuchi.

    Proceedings of International Forum on Medical Imaging in Asia (IFMIA)     2025.3

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

  2. Generation of Counterfactual Pathology Images of Malignant Lymphoma Using Diffusion Models Reviewed

    Ryoichi Koga, Tatsuya Yokota, Koichi Ohshima, Hiroaki Miyoshi, Noriaki Hashimoto, Ichiro Takeuchi, Hidekata Hontani.

    Proceedings of International Forum on Medical Imaging in Asia (IFMIA)     2025.3

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  3. Construction of a Pathology Image Classifier with Quantitative Uncertainty Evaluation for Cancer Diagnosis Assistance Reviewed

    Jiro Onoki, yasuyuki Tsuchimoto, Tatsuya Yokota, Koichi Ohshima, Hiroaki Miyoshi, Noriaki Hashimoto, Ichiro Takeuchi, Hidekata Hontani.

    Proceedings of International Forum on Medical Imaging in Asia (IFMIA)     2025.3

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  4. Selective Inference for Changepoint Detection by Recurrent Neural Network Reviewed

    Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi.

    Neural Computation     2025.1

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    Language:English   Publishing type:Research paper (scientific journal)  

  5. Statistical Reliability of Data-driven Science and Technology Invited Reviewed

    Ichiro Takeuchi.

    IEEJ Transactions on Electrical and Electronic Engineering     2025.1

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    Authorship:Lead author, Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

  6. Active Learning for Level Set Estimation Using Randomized Straddle Algorithms Reviewed

    Yu Inatsu, Shion Takeno, Kentaro Kutsukake, Ichiro Takeuchi.

    Transactions on Machine Learning Research     2024.11

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    Language:English   Publishing type:Research paper (scientific journal)  

  7. Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced Exploration Reviewed

    Neural Computation     2024.10

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  8. Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball. Reviewed

    Rory Bunker, Vo Nguyen Le Duy, Yasuo Tabei, Ichiro Takeuchi, Keisuke Fujii.

    Journal of Quantitative Analysis in Sports     2024.9

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  9. Artificial neural network to predict the structural compliance of irregular geometries considering volume constraints. Reviewed

    Yi CUI, Ichiro TAKEUCHI, Wenzhi YANG, Shaojie GU, Sungmin YOON, Toshiro MATSUMOTO.

    Mechanical Engineering Journal     2024.8

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    Language:English   Publishing type:Research paper (scientific journal)  

  10. Statistical Test for Attention Maps in Vision Transformers Reviewed

    Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi

    Proceedings of The 41th International Conference on Machine Learning (ICML)     2024.7

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  11. Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds Reviewed

    S. Takeno, Y, Inatsu, M. Karasuyama, I. Takeuchi

    Proceedings of The 41th International Conference on Machine Learning (ICML)     2024.7

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  12. CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference Reviewed

    Duy Vo Nguyen Le, Hsuan-Tien Lin, Ichiro Takeuchi

    AI&Statistics (AIStats)     2024.5

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  13. Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty Reviewed

    Yu Inatsu, Shion Takeno, Hiroyuki Hanada, Kazuki Iwata, Ichiro Takeuchi

    AI&Statistics (AIStats)     2024.5

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    Authorship:Last author   Language:English   Publishing type:Research paper (international conference proceedings)  

  14. A study of criteria for grading follicular lymphoma using a cell type classifier from pathology images based on complementary-label learning. Reviewed

    Ryoichi Koga, Shingo Koide, Hiromu Tanaka, Kei Taguchi, Mauricio Kugler, Tatsuya Yokota, Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi, Noriaki Hashimoto, Ichiro Takeuchi, Hidekata Hontani.

    Micron     2024.5

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    Language:English   Publishing type:Research paper (scientific journal)  

  15. Bounded p-values in Parametric Programming-based Selective Inference. Reviewed

    Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy and Ichiro Takeuchi.

    Japanese Journal of Statistics and Data Science     2024.4

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  16. Feature extraction and spatial imaging of synchrotron radiation X-ray diffraction patterns using unsupervised machine learning. Reviewed

    Kentaro Kutsukake, Takefumi Kamioka, Kota Matsui, Ichiro Takeuchi, Takashi Segi, Takuo Sasaki, Seiji Fujikawa, Masamitu Takahasi.

    Science and Technology of Advanced Materials: Methods     2024.4

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    Language:English   Publishing type:Research paper (scientific journal)  

  17. The detection of neoplastic cells by objective cytomorphological parameters in malignant lymphoma Reviewed

    Laboratory Investigation     2024.3

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    Language:English   Publishing type:Research paper (scientific journal)  

  18. A Confidence Machine for Sparse High-Order Interaction Model Reviewed

    Stat     2024.2

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  19. Modification of DDIM Encoding for Generating Counterfactual Pathology Images of Malignant Lymphoma Reviewed

    Koga R., Kugler M., Yokota T., Ohshima K., Miyoshi H., Nagaishi M., Hashimoto N., Takeuchi I., Hontani H.

    Proceedings of International Conference on Computer Vision Theory and Applications (VISAPP)     2024.2

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  20. Efficient Model Selection for Predictive Pattern Mining Model by Safe Pattern Pruning Invited Reviewed

    Patterns     2023.12

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  21. Multimodal gated mixture of experts using whole slide image and flow cytometry for multiple instance learning classification of lymphoma Reviewed

    Noriaki Hashimoto, Hiroyuki Hanada, Hiroaki Miyoshi, Miharu Nagaishi, Kensaku Sato, Hidekata Hontani, Koichi Ohshima, Ichiro Takeuchi.

    Journal of Pathology Informatics     2023.12

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  22. Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications Reviewed

    Hanada H., Hashimoto N., Taji K. and Takeuchi I.

    Neural Computation     2023.11

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

  23. Deep learning based identification of pituitary adenoma on surgical endoscopic images: a pilot study Invited Reviewed

    Neurosurgical Review     2023.11

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  24. Drawing A Materials Map with An Autoencoder for Lithium Ionic Conductors Reviewed

    Yamaguchi Y., Atsumi T., Kanamori K., Tanibata N., Takeda H., Nakayama M., Karasuyma M., Takeuchi I.

    Scientific Reports     2023.11

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)  

  25. Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping Reviewed

    Butke J., Hashimoto N., Takeuchi I., Miyoshi H., Oshima K., Sakuma J.

    Machine Learning in Medical Imaging (MLMI)     2023.10

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  26. Valid P-Value for Deep Learning-driven Salient Region Reviewed

    Miwa D., Duy V.N.L., Takeuchi I.

    Proceedings of The International Conference on Learning Representation (ICLR)     2023.5

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  27. A Stopping Criterion for Bayesian Optimization by The Gap of Expected Minimum Simple Regrets Reviewed

    Ishibashi H., Karasuyama M., Takeuchi I., Hino H.

    Proceedings of The International Conference on AI and Statistics (AISTATS)     2023.4

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  28. Case-based Similar Image Retrieval for Weakly Annotated Large Histopathological Images of Malignant Lymphoma Using Deep Metric Learning Reviewed

    Hashimoto N., Takagi Y., Masuda H., Miyoshi H., Kohno K., Nagaishi M., Sato K., Takeuchi M., Furuta T., Kawamoto K., Yamada K., Moritsubo M., Inoue K., Shimasaki Y., Ogura Y., Imamoto T., Mishina T., Tanaka K., Kawaguchi Y., Nakamura S., Ohshima K., Hontani H., Takeuchi I.

    Medical Image Analysis     2023.4

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  29. Novel Machine Learning Method AllerStat Identifies Statistically Significant Allergen-Specific Patterns in Protein Sequences Reviewed

    Goto K., Tamehiro N., Yoshida T., Hanada H., Sakuma T., Adachi R., Kondo K., Takeuchi I.

    Journal of Biological Chemistry     2023.4

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    Authorship:Last author, Corresponding author   Language:English  

  30. Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening Reviewed

    Kato H., Hanada H., Takeuchi I.

    IEEE Transactions on Pattern Analysis and Machine Intelligence     2023.2

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  31. Multi-objective Bayesian Optimization with Active Preference Learning Reviewed

    Ozaki R., Ishikawa K., Kanzaki Y., Takeno S., Takeuchi I., Karasuyama M.

    Proceedings of AAAI Conference on Artificial Intelligence (AAAI)     2023.2

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  32. Graph neural network for identification of malignant lymphoma subtypes and class activation visualization of cell tissue anomality Reviewed

    Tanaka H., Hashimoto N., Yokota T., Kugler M., Ohshima K., Miyoshi H., Nagaishi M., Takeuchi I., Hontani H.

    Proceedings of The International Forum on Medical Imaging in Asia (IFMIA)     2023.1

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  33. Transformer-based Personalized Attention Mechanism for Medical Images with Clinical Records Reviewed

    Takagi Y., Hashimoto N., Masuda H., Miyoshi H., Ohshima K., Hontani H., Takeuchi I.

    Journal of Pathology Informatics     2023.1

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  34. Generation of Counterfactual Images to Construct Criteria for Quantitatively Evaluating Subtypes in Malignant Lymphoma Reviewed

    Koga R., Kugler M., Yokota T., Ohshima K., Miyoshi H., Nagaishi M., Hashimoto N., Takeuchi I., Hontani H.

    Proceedings of The International Forum on Medical Imaging in Asia (IFMIA)     2023.1

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  35. Construction of Classifier for malignant lymphoma nuclei using label propagation Reviewed

    Koide S., Kugler M., Yokota T., Ohshima K., Miyoshi H., Nagaishi M., Hashimoto N., Takeuchi I., Hontani H.

    Proceedings of The International Forum on Medical Imaging in Asia (IFMIA)     2023.1

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  36. Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference Reviewed

    Proceedings of 36th Conference on Neural Information Processing Systems (NeurIPS)     2022.12

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  37. Bayesian Optimization for Cascade-Type Multistage Processes. Reviewed

    Kusakawa S, Takeno S, Inatsu Y, Kutsukake K, Iwazaki S, Nakano T, Ujihara T, Karasuyama M, Takeuchi I

    Neural Computation     2022.11

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  38. Root-finding Approaches for Computing Conformal Prediction Set Reviewed International coauthorship

    Ndiaye E., Takeuchi I.

    Machine Learning     2022.11

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  39. SMG6 Regulates DNA Damage and Cell Survival in Hippo Pathway Kinase LATS2-Inactivated Malignant Mesothelioma Reviewed

    Suzuki K., Tange M., Yamaguchi R., Hanada H., Mukai S., Sato T., Tanaka T., Akashi T., Kadomatsu K., Miida T., Takeuchi I., Sekido Y., Murakami-Tonami Y.

    Cell Death Discovery     2022.11

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  40. More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming Reviewed

    Duy V.N.L., Takeuchi I.

    Journal of Machine Learning Research     2022.11

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  41. Bayesian optimisation with transfer learning for NASICON-type solid electrolytes for all-solid-state Li-metal batteries Reviewed

    Takeno Shion, Fukuoka Hitoshi, Tsukada Yuhki, Koyama Toshiyuki, Shiga Motoki, Takeuchi Ichiro, Karasuyama Masayuki

    RSC Advances     2022.10

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    Web of Science

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  42. Pelagic seabirds reduce risk by flying into the eye of the storm Reviewed International coauthorship

    Lempidakis E., Shepard E.L.C, Ross A.N., Matsumoto S., Koyama S., Takeuchi I., Yoda K.

    Proceedings of National Academy of Science (PNAS)     2022.10

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  43. Na Superionic Conductor-Type LiZr2(PO4)3 as a Promising Solid Electrolyte for Use in All-Solid-State Li Metal Batteries Reviewed

    Nakayama M., Nakano K., Harada M., Tanibata N., Takeda H., Noda Y., Kobayashi R., Karasuyama M., Takeuchi I., Kotobuki M.

    Chemical Communications     2022.9

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  44. A Generalized Framework of Multi-fidelity Max-value Entropy Search through Joint Entropy Reviewed

    Takeno S., Fukuoka H., Tsukada Y., Koyama T., Shiga M., Takeuchi I., Karasuyama M.

    Neural Computation     2022.9

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  45. Conditional selective inference for robust regression and outlier detection using piecewise-linear homotopy continuation Reviewed

    Tsukurimichi Toshiaki, Inatsu Yu, Vo Nguyen Le Duy, Takeuchi Ichiro

    Annals of The Institute of Statistical Mathematics     2022.8

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  46. Bayesian Optimization for Distributionally Robust Chance-constrained Problem Reviewed

    Duy V.N.L., Iwazaki S., Takeuchi I.

    Proceedings of 36th Conference on Neural Information Processing Systems (NeurIPS2022)     2022.7

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  47. Exact statistical inference for the Wasserstein distance by selective inference Selective Inference for the Wasserstein Distance Reviewed

    Le Duy Vo Nguyen, Takeuchi Ichiro

    Annals of The Institute of Statistical Mathematics     2022.6

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  48. Short chain fatty acids-producing and mucin-degrading intestinal bacteria predict the progression of early Parkinson's disease Reviewed

    Ohno K., Nishiwaki H., Ito M., Hamaguchi T., Maeda T., Kashihara K., Tsuboi Y., Ueyama J., Yoshida T., Hanada H., Takeuchi I., Katsuno M., hirayama M.

    npj Parkinson's Disease     2022.6

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  49. Chemical Composition Data-Driven Machine-Learning Prediction for Phase Stability and Materials Properties of Inorganic Crystalline Solids Reviewed

    Atsumi T., Sato K., Yamaguchi Y., Hamaie M., Yasuda R., Tanibata N., Takeda H., Nakayama M., Karasuyama M., Takeuchi I.

    Physica Status Solidi (B) Basic Research     2022.2

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  50. Subtype classification of malignant lymphoma using immunohistochemical staining pattern Reviewed

    Hashimoto Noriaki, Ko Kaho, Yokota Tatsuya, Kohno Kei, Nakaguro Masato, Nakamura Shigeo, Takeuchi Ichiro, Hontani Hidekata

    International Journal of Computer Assisted Radiology and Surgery     2022.2

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  51. Fast and More Powerful Selective Inference for Sparse High-order Interaction Model Reviewed

    Proceedings of AAAI Conference on Artificial Intelligence (AAAI)     2022.2

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

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Research Project for Joint Research, Competitive Funding, etc. 6

  1. Creation of Automated Protein Engineering Led by AI

    2022.10

    Japan Science and Technology Agency  CREST 

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    Authorship:Coinvestigator(s)  Grant type:Competitive

  2. Assessing Reliability of AI-driven Hypotheses in Static and Dynamic Environments and Its Application to Medical Science

    2021.10

    Japan Science and Technology Agency  CREST 

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    Authorship:Principal investigator  Grant type:Competitive

  3. Co-evolution of Human and AI-Robots to Expand Science Frontiers

    2021.4

    Cabinet Office  Moonshot 

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    Authorship:Coinvestigator(s)  Grant type:Competitive

  4. Deepening Statistics for Reliable Data-Driven Science

    2021.4

    Japan Science and Technology Agency  AIP Acceleration Research 

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    Authorship:Coinvestigator(s)  Grant type:Competitive

  5. Accelerating The Use of AI Technologies through Automated Machine Learning

    2020.4

    New Energy and Industrial Technology Development Organization (NEDO) 

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    Authorship:Coinvestigator(s)  Grant type:Competitive

  6. Development of crystal growth technology by communication between AI and operators

    2020.4

    New Energy and Industrial Technology Development Organization (NEDO) 

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    Authorship:Coinvestigator(s)  Grant type:Competitive

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KAKENHI (Grants-in-Aid for Scientific Research) 1

  1. 探索的分析によるデータ駆動型仮説の信頼性評価法の確立と生命科学分野における実証

    Grant number:20H00601  2020.4 - 2025.3

    科学研究費助成事業  基盤研究(A)

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    Authorship:Principal investigator  Grant type:Competitive