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Sae Dieb
Sae Dieb
National Institute for Materials Science
Verified email at kb.ist.hokudai.ac.jp
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Year
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
3282015
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
682017
Structure prediction of boron-doped graphene by machine learning
T M Dieb, Z Hou, K Tsuda
The Journal of chemical physics 148 (24), 2018
572018
Monte Carlo Tree Search for Materials Design and Discovery.
TM Dieb, S Ju, J Shiomi, K Tsuda
MRS communication, 2019
382019
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
232015
Machine learning-based experimental design in materials science
TM Dieb, K Tsuda
Nanoinformatics, 65-74, 2018
192018
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
162022
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
122021
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
122019
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
112012
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
102020
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
82015
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
62016
Construction of tagged corpus for Nanodevices development papers
TM Dieb, M Yoshioka, S Hara
2011 IEEE International Conference on Granular Computing, 167-170, 2011
62011
Construction of Tagged Corpus for Nanodevices Development Papers
TM Dieb, M Yoshioka
17th annual meeting of natural language processing society of Japan (NLP2011 …, 2011
62011
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
52021
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
42018
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
42012
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
32014
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Articles 1–20