Search Results - "KANEKO HIROMASA" :: K.UTB vyhledávací portál

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Direct prediction of the batch time and process variable profiles using batch process data based on different batch times

by Kaneko, Hiromasa
Published in Computers & chemical engineering (01.01.2023)

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Estimating the reliability of predictions in locally weighted partial least‐squares modeling

by Kaneko, Hiromasa
Published in Journal of chemometrics (01.09.2021)

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Cross‐validated permutation feature importance considering correlation between features

by Kaneko, Hiromasa
Published in Analytical science advances (01.10.2022)

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Estimation of predictive performance for test data in applicability domains using y‐randomization

by Kaneko, Hiromasa
Published in Journal of chemometrics (01.09.2019)

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Data Visualization, Regression, Applicability Domains and Inverse Analysis Based on Generative Topographic Mapping

by Kaneko, Hiromasa
Published in Molecular informatics (01.03.2019)

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Examining variable selection methods for the predictive performance of regression models and the proportion of selected variables and selected random variables

by Kaneko, Hiromasa
Published in Heliyon (01.06.2021)

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Evaluation and Optimization Methods for Applicability Domain Methods and Their Hyperparameters, Considering the Prediction Performance of Machine Learning Models

by Kaneko, Hiromasa
Published in ACS omega (12.03.2024)

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Local interpretation of nonlinear regression model with k-nearest neighbors

by Kaneko, Hiromasa
Published in Digital Chemical Engineering (01.03.2023)

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T-Gen: Time series data generator for inverse analysis of machine learning models

by Kaneko, Hiromasa
Published in Case studies in chemical and environmental engineering (01.12.2023)

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True Gaussian mixture regression and genetic algorithm-based optimization with constraints for direct inverse analysis

by Kaneko, Hiromasa
Published in Science and Technology of Advanced Materials: Methods (31.12.2022)

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Beware of r2 even for test datasets: Using the latest measured y‐values (r2LM) in time series data analysis

by Kaneko, Hiromasa
Published in Journal of chemometrics (01.02.2019)

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Adaptive soft sensor based on online support vector regression and Bayesian ensemble learning for various states in chemical plants

by Kaneko, Hiromasa, Funatsu, Kimito
Published in Chemometrics and intelligent laboratory systems (15.10.2014)

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Genetic Algorithm-Based Partial Least-Squares with Only the First Component for Model Interpretation

by Kaneko, Hiromasa
Published in ACS omega (15.03.2022)

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Direct inverse analysis based on Gaussian mixture regression for multiple objective variables in material design

by Shimizu, Naoto, Kaneko, Hiromasa
Published in Materials & design (01.11.2020)

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De Novo Direct Inverse QSPR/QSAR: Chemical Variational Autoencoder and Gaussian Mixture Regression Models

by Nemoto, Kohei, Kaneko, Hiromasa
Published in Journal of chemical information and modeling (13.02.2023)

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Inverse QSPR/QSAR Analysis for Chemical Structure Generation (from y to x)

by Miyao, Tomoyuki, Kaneko, Hiromasa, Funatsu, Kimito
Published in Journal of chemical information and modeling (22.02.2016)

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Application of online support vector regression for soft sensors

by Kaneko, Hiromasa, Funatsu, Kimito
Published in AIChE journal (01.02.2014)

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Correlation between the Metal and Organic Components, Structure Property, and Gas-Adsorption Capacity of Metal–Organic Frameworks

by Yuyama, Shunsuke, Kaneko, Hiromasa
Published in Journal of chemical information and modeling (27.12.2021)

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Ensemble locally weighted partial least squares as a just-in-time modeling method

by Kaneko, Hiromasa, Funatsu, Kimito
Published in AIChE journal (01.03.2016)

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Estimation and visualization of process states using latent variable models based on Gaussian process

by Kaneko, Hiromasa
Published in Analytical science advances (01.06.2021)

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