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Molecular Informatics|January 10, 2022
Technique of Augmenting Molecular Graph Data by Perturbating Hidden FeaturesTakahiro Inoue, Kenichi Tanaka, Kimito Funatsu
Molecular Informatics|November 25, 2020
Improvement of the Structure Generator DAECS with Respect to Structural DiversityTakahiro Inoue, Kenichi Tanaka, Masaaki Kotera, et al.
Journal of Fluorescence|April 23, 2018
Random Forest Approach to QSPR Study of Fluorescence Properties Combining Quantum Chemical Descriptors and Solvent ConditionsChia-Hsiu Chen, Kenichi Tanaka, Kimito Funatsu
Molecular Informatics|December 15, 2018
Random Forest Model with Combined Features: A Practical Approach to Predict Liquid-crystalline PropertyChia-Hsiu Chen, Kenichi Tanaka, Kimito Funatsu
Journal of Cheminformatics|January 12, 2021
Comparison and improvement of the predictability and interpretability with ensemble learning models in QSPR applicationsChia-Hsiu Chen, Kenichi Tanaka, Masaaki Kotera, et al.
BMC Bioinformatics|December 25, 2019
Metabolic disassembler for understanding and predicting the biosynthetic units of natural productsKohei Amano, Tsubasa Matsumoto, Kenichi Tanaka, et al.
Molecular Informatics|April 22, 2017
Finding Chemical Structures Corresponding to a Set of Coordinates in Chemical Descriptor SpaceTomoyuki Miyao, Kimito Funatsu
Journal of Chemical Information and Modeling|May 7, 2019
Iterative Screening Methods for Identification of Chemical Compounds with Specific Values of Various PropertiesTomoyuki Miyao, Kimito Funatsu
Journal of Chemical Information and Modeling|August 27, 2013
Criterion for evaluating the predictive ability of nonlinear regression models without cross-validationHiromasa Kaneko, Kimito Funatsu
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