The CHEMDNER corpus of chemicals and drugs and its annotation principles M Krallinger, O Rabal, F Leitner, M Vazquez, D Salgado, Z Lu, R Leaman, ... Journal of cheminformatics 7, 1-17, 2015 | 344 | 2015 |
MDTS: automatic complex materials design using Monte Carlo tree search T M. Dieb, S Ju, K Yoshizoe, Z Hou, J Shiomi, K Tsuda Science and technology of advanced materials 18 (1), 498-503, 2017 | 69 | 2017 |
Structure prediction of boron-doped graphene by machine learning T M Dieb, Z Hou, K Tsuda The Journal of chemical physics 148 (24), 2018 | 63 | 2018 |
Monte Carlo Tree Search for Materials Design and Discovery. TM Dieb, S Ju, J Shiomi, K Tsuda MRS communication, 2019 | 39 | 2019 |
Framework for automatic information extraction from research papers on nanocrystal devices TM Dieb, M Yoshioka, S Hara, MC Newton Beilstein journal of nanotechnology 6 (1), 1872-1882, 2015 | 24 | 2015 |
Machine learning-based experimental design in materials science TM Dieb, K Tsuda Nanoinformatics, 65-74, 2018 | 19 | 2018 |
Machine Learning Assisted Development of Fe2P-type Magnetocaloric Compounds for Cryogenic Applications Jiawei Lai, A. Bolyachkin, N. Terada, S. Dieb, Xin Tang, T. Ohkubo, H ... Acta Materialia 232 (1), 117942, 2022 | 17 | 2022 |
SuperMat: construction of a linked annotated dataset from superconductors-related publications L Foppiano, S Dieb, A Suzuki, P Baptista de Castro, S Iwasaki, A Uzuki, ... Science and Technology of Advanced Materials: Methods 1 (1), 34-44, 2021 | 14 | 2021 |
Proposal for automatic extraction framework of superconductors related information from scientific literature L Foppiano, TM Dieb, A Suzuki, M Ishii 電子情報通信学会サービスコンピューティング研究会 2019 年度第一回研究会, 第 43 回 …, 2019 | 13 | 2019 |
Automatic information extraction of experiments from nanodevices development papers TM Dieb, M Yoshioka, S Hara 2012 IIAI International Conference on Advanced Applied Informatics, 42-47, 2012 | 11 | 2012 |
Optimization of depth-graded multilayer structure for x-ray optics using machine learning S Dieb, Z Song, WJ Yin, M Ishii Journal of Applied Physics 128 (7), 2020 | 10 | 2020 |
Ensemble Approach to Extract Chemical Named Entity by Using Results of Multiple CNER Systems with Different Characteristic M Yoshioka, TM Dieb BioCreative Challenge Evaluation Workshop vol 2, 162, 2013 | 10* | 2013 |
Extraction of Chemical and Drug Named Entities by Ensemble Learning Using Chemical NER Tools Based on Different Extraction Guidelines T M.Dieb, M Yoshioka TRANSACTIONS ON MACHINE LEARNING AND DATA MINING 8 (2), 61-76, 2015 | 8 | 2015 |
NaDev: An Annotated Corpus to Support Information Extraction from Research Papers on Nanocrystal Devices TM Dieb, M Yoshioka, S Hara Journal of Information Processing 24 (3), 1-11, 2016 | 7 | 2016 |
Construction of Tagged Corpus for Nanodevices Development Papers TM Dieb, M Yoshioka 17th annual meeting of natural language processing society of Japan (NLP2011 …, 2011 | 6 | 2011 |
Creating research topic map for NIMS SAMURAI database using natural language processing approach S Dieb, K Amano, K Tanabe, D Sato, M Ishii, M Tanifuji Science and Technology of Advanced Materials: Methods 1 (1), 2-11, 2021 | 5 | 2021 |
Optimizing Interface/Surface Roughness for Thermal Transport. S Ju, TM Dieb, K Tsuda, J Shiomi Machine Learning for Molecules and Materials NIPS 2018 Workshop, 2018 | 5 | 2018 |
Knowledge Exploratory Project for Nano Device Design and Manufacturing M Yoshioka, TM Dieb, S Hara, K Tomioka, H Arimura, T Fukui 5th International Symposium on Global COE Program of Center for Next …, 2012 | 4 | 2012 |
Automatic Annotation of Parameters from Nanodevice Development Research Papers TM Dieb, M Yoshioka, S Hara, MC Newton Proceedings of the 4th International Workshop on Computational Terminology …, 2014 | 3 | 2014 |
Artificial intelligence inspired design of non-isothermal aging for γ–γ′ two-phase, Ni–Al alloys V Nandal, S Dieb, DS Bulgarevich, T Osada, T Koyama, S Minamoto, ... Scientific Reports 13 (1), 12660, 2023 | 2 | 2023 |