Hiromasa Kaneko
Orcid: 0000-0001-8367-6476
According to our database1,
Hiromasa Kaneko
authored at least 20 papers
between 2008 and 2023.
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Bibliography
2023
Catalyst Design and Feature Engineering to Improve Selectivity and Reactivity in Two Simultaneous Cross-Coupling Reactions.
J. Chem. Inf. Model., September, 2023
De Novo Direct Inverse QSPR/QSAR: Chemical Variational Autoencoder and Gaussian Mixture Regression Models.
J. Chem. Inf. Model., February, 2023
Direct prediction of the batch time and process variable profiles using batch process data based on different batch times.
Comput. Chem. Eng., 2023
2021
Correlation between the Metal and Organic Components, Structure Property, and Gas-Adsorption Capacity of Metal-Organic Frameworks.
J. Chem. Inf. Model., 2021
2018
J. Chem. Inf. Model., 2018
Discussion on Regression Methods Based on Ensemble Learning and Applicability Domains of Linear Submodels.
J. Chem. Inf. Model., 2018
Formulation of the excess absorption in infrared spectra by numerical decomposition for effective process monitoring.
Comput. Chem. Eng., 2018
2017
On Generative Topographic Mapping and Graph Theory combined approach for unsupervised non-linear data visualization and fault identification.
Comput. Chem. Eng., 2017
2016
J. Chem. Inf. Model., 2016
J. Chem. Inf. Model., 2016
J. Comput. Aided Mol. Des., 2016
2014
Applicability Domain Based on Ensemble Learning in Classification and Regression Analyses.
J. Chem. Inf. Model., 2014
Proceedings of the Modern Advances in Applied Intelligence, 2014
2013
Criterion for Evaluating the Predictive Ability of Nonlinear Regression Models without Cross-Validation.
J. Chem. Inf. Model., 2013
Erratum for "Development of a New Regression Analysis Method Using Independent Component Analysis".
J. Chem. Inf. Model., 2013
Adaptive soft sensor model using online support vector regression with time variable and discussion of appropriate hyperparameter settings and window size.
Comput. Chem. Eng., 2013
Adaptive Soft Sensor Model Using Online Support Vector Regression with the Time Variable and Discussion on Appropriate Parameter Settings.
Proceedings of the 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2013
2011
Novel soft sensor method for detecting completion of transition in industrial polymer processes.
Comput. Chem. Eng., 2011
Improvement and Estimation of Prediction Accuracy of Soft Sensor Models Based on Time Difference.
Proceedings of the Modern Approaches in Applied Intelligence, 2011
2008
Development of a New Regression Analysis Method Using Independent Component Analysis.
J. Chem. Inf. Model., 2008