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A fast-multiclass method for the determination of 21 endocrine disruptors in human urine by using vortex-assisted dispersive liquid-liquid microextraction (VADLLME) and LC-MS/MS
(2020-10-01)
Simplicity, speed, and reduced cost are essential demands for routine analysis in human biomonitoring studies. Moreover, the availability of higher volumes of human specimens is becoming more restrictive due to ethical ...
Approaches based on tree-structures classifiers to protein fold prediction
(Institute of Electrical and Electronics Engineers Inc., 2017-08)
Protein fold recognition is an important task in the biological area. Different machine learning methods such as multiclass classifiers, one-vs-all and ensemble nested dichotomies were applied to this task and, in most of ...
Attribute-based Decision Graphs: A Framework For Multiclass Data Classification
(Pergamon-Elsevier Science LTDOxford, 2017)
Recopnocimiento de un producto de supermercado
(CIMAT, 2012)
Detection of adulterants in grape nectars by attenuated total reflectance fourier-transform mid-infrared spectroscopy and multivariate classification strategies
(Universidade Federal de Minas GeraisBrasilFAR - DEPARTAMENTO DE ALIMENTOSICX - DEPARTAMENTO DE QUÍMICAUFMG, 2018)
Variable selection for multivariate classification aiming to detect individual adulterants and their blends in grape nectars
(Universidade Federal de Minas GeraisBrasilFAR - DEPARTAMENTO DE ALIMENTOSICX - DEPARTAMENTO DE QUÍMICAUFMG, 2018)
Shock fluctuations for the Hammersley process
(Springer, 2017-01)
We consider the Hammersley interacting particle system starting from a shock initial profile with densities (). The microscopic shock is taken as the position of a second-class particle initially at the origin, and the ...
Metodologia para a classificação multiclasse de imagens histológicas baseada em inteligência artificial explicávelMethodology for multiclass classification of histological images based on explainable artificial intelligence
(Universidade Federal de UberlândiaBrasilPrograma de Pós-graduação em Ciência da Computação, 2022)
Poincaré plot features from vibration signal for gearbox fault diagnosis
(Institute of Electrical and Electronics Engineers Inc., 2018)
This paper describes a method for fault diagnosis in gearboxes using features extracted from the Poincare plot of the vibration signal. Several features describing the geometrical shape of the Poincare plot are calculated ...