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Disambiguation of "Kaneko, Hiromasa"

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On Generative Topographic Mapping and Graph Theory combined approach for unsupervised non-linear data visualization and fault identification.

, , and . Comput. Chem. Eng., (2017)

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Tanja Kaneko

Gaël Kaneko

Kiosuke Kaneko

Christiane Langer-Kaneko

Margret Neuss-Kaneko

 

Other publications of authors with the same name

Direct prediction of the batch time and process variable profiles using batch process data based on different batch times.. Comput. Chem. Eng., (2023)Adaptive soft sensor model using online support vector regression with time variable and discussion of appropriate hyperparameter settings and window size., and . Comput. Chem. Eng., (2013)Adaptive Soft Sensor Model Using Online Support Vector Regression with the Time Variable and Discussion on Appropriate Parameter Settings., and . KES, volume 22 of Procedia Computer Science, page 580-589. Elsevier, (2013)Erratum for "Development of a New Regression Analysis Method Using Independent Component Analysis"., , and . Journal of Chemical Information and Modeling, 53 (11): 3113 (2013)Automatic Database Monitoring for Process Control Systems., and . IEA/AIE (1), volume 8481 of Lecture Notes in Computer Science, page 410-419. Springer, (2014)On Generative Topographic Mapping and Graph Theory combined approach for unsupervised non-linear data visualization and fault identification., , and . Comput. Chem. Eng., (2017)Catalyst Design and Feature Engineering to Improve Selectivity and Reactivity in Two Simultaneous Cross-Coupling Reactions., , , and . J. Chem. Inf. Model., 63 (18): 5764-5772 (September 2023)A novel soft sensor method detecting completion of transition for industrial polymer processes., , and . ICONS, page 551-558. International Federation of Automatic Control, (2009)Applicability Domain Based on Ensemble Learning in Classification and Regression Analyses., and . Journal of Chemical Information and Modeling, 54 (9): 2469-2482 (2014)Ring system-based chemical graph generation for de novo molecular design., , and . J. Comput. Aided Mol. Des., 30 (5): 425-446 (2016)