Michel J. Anzanello, Ph.D.
Affiliations: | 2009 | Graduate School - New Brunswick | Rutgers University, New Brunswick, New Brunswick, NJ, United States |
Area:
Industrial EngineeringGoogle:
"Michel Anzanello"Parents
Sign in to add mentor| Susan L. Albin | grad student | 2009 | Rutgers, New Brunswick | |
| (Selecting the best process variables for classification of production batches into quality levels.) | ||||
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Publications
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| de Abreu Fontes J, Anzanello MJ, Brito JBG, et al. (2021) Combining wavelength importance ranking to the random forest classifier to analyze multiclass spectral data. Forensic Science International. 328: 110998 |
| Assis C, Gama EM, Nascentes CC, et al. (2020) A data fusion model merging information from near infrared spectroscopy and X-ray fluorescence. Searching for atomic-molecular correlations to predict and characterize the composition of coffee blends. Food Chemistry. 325: 126953 |
| Brito JBG, Bucco GB, John DK, et al. (2020) Wavenumber selection based on Singular Value Decomposition for sample classification. Forensic Science International. 309: 110191 |
| Peres FAP, Peres TN, Fogliatto FS, et al. (2020) Strategies for synchronizing chocolate conching batch process data using dynamic time warping. Journal of Food Science and Technology. 57: 122-133 |
| Lucini FR, Tonetto LM, Fogliatto FS, et al. (2020) Text mining approach to explore dimensions of airline customer satisfaction using online customer reviews Journal of Air Transport Management. 83: 101760 |
| Rocha M, Silva CAM, Junior RGS, et al. (2020) Selecting the most relevant variables towards clustering bus priority corridors Public Transport |
| Fogliatto FS, Anzanello MJ, Soares F, et al. (2019) Decision Support for Breast Cancer Detection: Classification Improvement Through Feature Selection. Cancer Control : Journal of the Moffitt Cancer Center. 26: 1073274819876598 |
| Rocha M, Anzanello M, Caleffi F, et al. (2019) A multivariate-based variable selection framework for clustering traffic conflicts in a brazilian freeway. Accident; Analysis and Prevention. 132: 105269 |
| Soares F, Anzanello MJ, Fogliatto FS, et al. (2019) Enhancing counterfeit and illicit medicines grouping via feature selection and X-ray fluorescence spectrometry. Journal of Pharmaceutical and Biomedical Analysis. 174: 198-205 |
| Dos Santos MK, de Cassia Mariotti K, Kahmann A, et al. (2019) Comparison between counterfeit and authentic medicines: A novel approach using differential scanning calorimetry and hierarchical cluster analysis. Journal of Pharmaceutical and Biomedical Analysis. 166: 304-309 |