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Author Details

Masayuki Karasuyama
Nagoya Institute of Technology
2010
17
5
PMIDPaper TitleJournal TitlePublished Year
37798325Drawing a materials map with an autoencoder for lithium ionic conductors.Sci Rep2023
36283050Bayesian Optimization for Cascade-Type Multistage Processes.Neural Comput2022
36337942Bayesian optimisation with transfer learning for NASICON-type solid electrolytes for all-solid-state Li-metal batteries.RSC Adv2022
36027725A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy.Neural Comput2022
35950409Na superionic conductor-type LiZr<sub>2</sub>(PO<sub>4</sub>)<sub>3</sub> as a promising solid electrolyte for use in all-solid-state Li metal batteries.Chem Commun (Camb)2022
33931743Author Correction: Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design.Commun Biol2021
33742139Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design.Commun Biol2021
32795233Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation.Neural Comput2020
33080163Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions.Neural Comput2020
31614101Safe Triplet Screening for Distance Metric Learning.Neural Comput2019
30349075Understanding Colour Tuning Rules and Predicting Absorption Wavelengths of Microbial Rhodopsins by Data-Driven Machine-Learning Approach.Sci Rep2018
27197545Exploring phenotype patterns of breast cancer within somatic mutations: a modicum in the intrinsic code.Brief Bioinform2017
28988802A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines.Cell Syst2017
24805218Multiple graph label propagation by sparse integration.IEEE Trans Neural Netw Learn Syst2013
22831849Canonical dependency analysis based on squared-loss mutual information.Neural Netw2012
21880570Nonlinear regularization path for quadratic loss support vector machines.IEEE Trans Neural Netw2011
20550990Multiple incremental decremental learning of support vector machines.IEEE Trans Neural Netw2010
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Collaborators

Institute for Chemical Research, Kyoto University
Co-authored papers 3
The University of Texas Southwestern Medical Center
Co-authored papers 1
University of Florida.
Co-authored papers 1
IBM T.J. Watson Research Center
Co-authored papers 1
Broad Institute of MIT and Harvard, USA Dana-Farber Cancer Institute
Co-authored papers 1
Icahn School of Medicine
Co-authored papers 1
University of California, Santa Cruz Genomics Institute
Co-authored papers 1
University of Turku
Co-authored papers 1
Bill & Melinda Gates Foundation
Co-authored papers 1
University of California Santa Cruz
Co-authored papers 1
Broad Institute of Harvard and MIT
Co-authored papers 1
University of Michigan ann arbor
Co-authored papers 1
University of California
Co-authored papers 1
University of Helsinki
Co-authored papers 1
University of Texas Southwestern Medical Center
Co-authored papers 1
Janssen Research and Development LLC
Co-authored papers 1
Roche Pharma Research and Early Development
Co-authored papers 1
Aalto University
Co-authored papers 1
University of California
Co-authored papers 1
University of California at Santa Cruz
Co-authored papers 1
Helsinki Institute for Information Technology (HIIT), Aalto University
Co-authored papers 1
Loma Linda University
Co-authored papers 1
Broad Institute of Harvard and MIT
Co-authored papers 1
University of Groningen
Co-authored papers 1
Southwestern Medical Center, University of Texas
Co-authored papers 1
Quantitative Biomedical Research Center
Co-authored papers 1
Oregon Health & Science University
Co-authored papers 1
University of Adelaide
Co-authored papers 1
Institute for Molecular Medicine Finland (FIMM), University of Helsinki
Co-authored papers 1
University of California San Diego
Co-authored papers 1