Ambientes virtuais de aprendizagem RM Barbosa, AB Noronha, AFT Primo, AR Vieira, CJP Lucena, ... Ambientes virtuais de aprendizagem, 182-182, 2005 | 239 | 2005 |
Multi-element determination in Brazilian honey samples by inductively coupled plasma mass spectrometry and estimation of geographic origin with data mining techniques BL Batista, LRS Da Silva, BA Rocha, JL Rodrigues, AA Berretta-Silva, ... Food Research International 49 (1), 209-215, 2012 | 190 | 2012 |
Classification of geographic origin of rice by data mining and inductively coupled plasma mass spectrometry C Maione, BL Batista, AD Campiglia, F Barbosa Jr, RM Barbosa Computers and Electronics in Agriculture 121, 101-107, 2016 | 142 | 2016 |
Advanced data mining approaches in the assessment of urinary concentrations of bisphenols, chlorophenols, parabens and benzophenones in Brazilian children and their association … BA Rocha, AG Asimakopoulos, M Honda, NL Da Costa, RM Barbosa, ... Environment international 116, 269-277, 2018 | 117 | 2018 |
The use of advanced chemometric techniques and trace element levels for controlling the authenticity of organic coffee RM Barbosa, BL Batista, RM Varrique, VA Coelho, AD Campiglia, ... Food Research International 61, 246-251, 2014 | 114 | 2014 |
Recent applications of multivariate data analysis methods in the authentication of rice and the most analyzed parameters: A review C Maione, RM Barbosa Critical reviews in food science and nutrition 59 (12), 1868-1879, 2019 | 108 | 2019 |
Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: A review C Maione, F Barbosa Jr, RM Barbosa Computers and Electronics in Agriculture 157, 436-446, 2019 | 85 | 2019 |
Comparative study of data mining techniques for the authentication of organic grape juice based on ICP-MS analysis C Maione, ES De Paula, M Gallimberti, BL Batista, AD Campiglia, ... Expert Systems with Applications 49, 60-73, 2016 | 85 | 2016 |
Recognition of organic rice samples based on trace elements and support vector machines RM Barbosa, ES de Paula, AC Paulelli, AF Moore, JMO Souza, BL Batista, ... Journal of Food Composition and Analysis 45, 95-100, 2016 | 78 | 2016 |
Research on social data by means of cluster analysis C Maione, DR Nelson, RM Barbosa Applied Computing and Informatics 15 (2), 153-162, 2019 | 63 | 2019 |
On the Carathéodory number for the convexity of paths of order three RM Barbosa, EMM Coelho, MC Dourado, D Rautenbach, JL Szwarcfiter SIAM Journal on Discrete Mathematics 26 (3), 929-939, 2012 | 59 | 2012 |
Evaluation of feature selection methods based on artificial neural network weights NL da Costa, MD de Lima, R Barbosa Expert Systems with Applications 168, 114312, 2021 | 55 | 2021 |
A simple and practical control of the authenticity of organic sugarcane samples based on the use of machine-learning algorithms and trace elements determination by inductively … RM Barbosa, BL Batista, CV Barião, RM Varrique, VA Coelho, ... Food chemistry 184, 154-159, 2015 | 49 | 2015 |
Chemical typicality of South American red wines classified according to their volatile and phenolic compounds using multivariate analysis L Valentin, LP Barroso, RM Barbosa, GA de Paulo, IA Castro Food chemistry 302, 125340, 2020 | 45 | 2020 |
Geographical recognition of Syrah wines by combining feature selection with Extreme Learning Machine NL da Costa, LAG Llobodanin, MD de Lima, IA Castro, R Barbosa Measurement 120, 92-99, 2018 | 43 | 2018 |
The use of decision trees and naïve Bayes algorithms and trace element patterns for controlling the authenticity of free‐range‐pastured hens’ eggs RM Barbosa, LR Nacano, R Freitas, BL Batista, F Barbosa Jr Journal of food science 79 (9), C1672-C1677, 2014 | 40 | 2014 |
The use of support vector machine to analyze food security in a region of Brazil RM Barbosa, DR Nelson Applied Artificial Intelligence 30 (4), 318-330, 2016 | 37 | 2016 |
Using Support Vector Machines and neural networks to classify Merlot wines from South America NL Costa, LAG Llobodanin, IA Castro, R Barbosa Information processing in agriculture 6 (2), 265-278, 2019 | 36 | 2019 |
Improvements on least squares twin multi-class classification support vector machine MD De Lima, NL Costa, R Barbosa Neurocomputing 313, 196-205, 2018 | 35 | 2018 |
Medical data set classification using a new feature selection algorithm combined with twin-bounded support vector machine MD de Lima, J de Oliveira Roque e Lima, RM Barbosa Medical & Biological Engineering & Computing 58, 519-528, 2020 | 32 | 2020 |