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Michel J Anzanello

Showing results (1-10 of 21) with videos related to

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Artificial Intelligence in Medicine|September 24, 2017
A hierarchical classifier based on human blood plasma fluorescence for non-invasive colorectal cancer screeningFelipe Soares, Karin Becker, Michel J Anzanello
Forensic Science International|January 23, 2014
A framework for selecting analytical techniques in profiling authentic and counterfeit Viagra and CialisMichel J Anzanello, Rafael S Ortiz, Renata Limberger, et al.
Forensic Science International|July 23, 2014
PLS-DA wavenumber selection for the categorization of medicine samples based on multiple criteriaMichel J Anzanello, Rafael S Ortiz, Renata Limberger, et al.
Food Chemistry|September 18, 2022
Determination of the most informative chemical elements for discrimination of rice samples according to the producing regionLucas Suchecki Barnet, Gabrielli Harumi Yamashita, Michel J Anzanello, et al.
Journal of Pharmaceutical and Biomedical Analysis|June 18, 2013
A multivariate-based wavenumber selection method for classifying medicines into authentic or counterfeit classesMichel J Anzanello, Rafael S Ortiz, Renata P Limbergerb, et al.
Cancer Control : Journal of the Moffitt Cancer Center|September 21, 2019
Decision Support for Breast Cancer Detection: Classification Improvement Through Feature SelectionFlavio S Fogliatto, Michel J Anzanello, Felipe Soares, et al.
Quality Management in Health Care|December 27, 2018
Lean-Oriented Layout Design of a Health Care FacilityFlavio S Fogliatto, Guilherme L Tortorella, Michel J Anzanello, et al.
Science & Justice : Journal of the Forensic Science Society|October 4, 2014
Selecting relevant Fourier transform infrared spectroscopy wavenumbers for clustering authentic and counterfeit drug samplesMichel J Anzanello, Flavio S Fogliatto, Rafael S Ortiz, et al.
BMC Health Services Research|January 5, 2024
Decision analysis framework for predicting no-shows to appointments using machine learning algorithmsCarolina Deina, Flavio S Fogliatto, Giovani J C da Silveira, et al.
BMC Health Services Research|July 25, 2020
Surgery scheduling heuristic considering OR downstream and upstream facilities and resourcesRafael Calegari, Flavio S Fogliatto, Filipe R Lucini, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Artificial Intelligence in Medicine|September 24, 2017
A hierarchical classifier based on human blood plasma fluorescence for non-invasive colorectal cancer screeningFelipe Soares, Karin Becker, Michel J Anzanello
Forensic Science International|January 23, 2014
A framework for selecting analytical techniques in profiling authentic and counterfeit Viagra and CialisMichel J Anzanello, Rafael S Ortiz, Renata Limberger, et al.
Forensic Science International|July 23, 2014
PLS-DA wavenumber selection for the categorization of medicine samples based on multiple criteriaMichel J Anzanello, Rafael S Ortiz, Renata Limberger, et al.
Food Chemistry|September 18, 2022
Determination of the most informative chemical elements for discrimination of rice samples according to the producing regionLucas Suchecki Barnet, Gabrielli Harumi Yamashita, Michel J Anzanello, et al.
Journal of Pharmaceutical and Biomedical Analysis|June 18, 2013
A multivariate-based wavenumber selection method for classifying medicines into authentic or counterfeit classesMichel J Anzanello, Rafael S Ortiz, Renata P Limbergerb, et al.
Cancer Control : Journal of the Moffitt Cancer Center|September 21, 2019
Decision Support for Breast Cancer Detection: Classification Improvement Through Feature SelectionFlavio S Fogliatto, Michel J Anzanello, Felipe Soares, et al.
Quality Management in Health Care|December 27, 2018
Lean-Oriented Layout Design of a Health Care FacilityFlavio S Fogliatto, Guilherme L Tortorella, Michel J Anzanello, et al.
Science & Justice : Journal of the Forensic Science Society|October 4, 2014
Selecting relevant Fourier transform infrared spectroscopy wavenumbers for clustering authentic and counterfeit drug samplesMichel J Anzanello, Flavio S Fogliatto, Rafael S Ortiz, et al.
BMC Health Services Research|January 5, 2024
Decision analysis framework for predicting no-shows to appointments using machine learning algorithmsCarolina Deina, Flavio S Fogliatto, Giovani J C da Silveira, et al.
BMC Health Services Research|July 25, 2020
Surgery scheduling heuristic considering OR downstream and upstream facilities and resourcesRafael Calegari, Flavio S Fogliatto, Filipe R Lucini, et al.
Pageof 3