Rommel M. Barbosa

Orcid: 0000-0002-2638-7026

Affiliations:
  • Federal University of Goiás, Goiânia, Brazil


According to our database1, Rommel M. Barbosa authored at least 30 papers between 2000 and 2022.

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Bibliography

2022
Artificial Intelligence applied to smart interfaces for children's educational games.
Displays, 2022

Finding the combination of multiple biomarkers to diagnose oral squamous cell carcinoma - A data mining approach.
Comput. Biol. Medicine, 2022

Analysis and improvements on feature selection methods based on artificial neural network weights.
Appl. Soft Comput., 2022

A Cluster Analysis Methodology for the Categorization of Soil Samples for Forensic Sciences Based on Elemental Fingerprint.
Appl. Artif. Intell., 2022

2021
Evaluation of feature selection methods based on artificial neural network weights.
Expert Syst. Appl., 2021


Discovering Associative Patterns in Healthcare Data.
Proceedings of Sixth International Congress on Information and Communication Technology, 2021

2020
Medical data set classification using a new feature selection algorithm combined with twin-bounded support vector machine.
Medical Biol. Eng. Comput., 2020

Global defensive alliances in the lexicographic product of paths and cycles.
Discret. Appl. Math., 2020

Machine Learning Applied to Support Medical Decision in Transthoracic Echocardiogram Exams: A Systematic Review.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

2019
The use of data mining to classify Carménère and Merlot wines from Chile.
Expert Syst. J. Knowl. Eng., 2019

Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: A review.
Comput. Electron. Agric., 2019

A Data Mining Approach Applied to the High School National Examination: Analysis of Aspects of Candidates to Brazilian Universities.
Proceedings of the Progress in Artificial Intelligence, 2019

2018
Establishing chemical profiling for ecstasy tablets based on trace element levels and support vector machine.
Neural Comput. Appl., 2018

Improvements on least squares twin multi-class classification support vector machine.
Neurocomputing, 2018

Maximal independent sets in complementary prism graphs.
Ars Comb., 2018

2016
On the efficiency index of a graph.
J. Comb. Optim., 2016

Comparative study of data mining techniques for the authentication of organic grape juice based on ICP-MS analysis.
Expert Syst. Appl., 2016

Classification of geographic origin of rice by data mining and inductively coupled plasma mass spectrometry.
Comput. Electron. Agric., 2016

Classification of Cabernet Sauvignon from Two Different Countries in South America by Chemical Compounds and Support Vector Machines.
Appl. Artif. Intell., 2016

The Use of Support Vector Machine to Analyze Food Security in a Region of Brazil.
Appl. Artif. Intell., 2016

2013
On Minimal and Minimum Hull Sets.
Electron. Notes Discret. Math., 2013

On graphs with maximal independent sets of few sizes, minimum degree at least 2, and girth at least 7.
Discret. Math., 2013

2012
The colorful Helly theorem and general hypergraphs.
Eur. J. Comb., 2012

2011
On the Carathéodory Number for the Convexity of Paths of Order Three.
Electron. Notes Discret. Math., 2011

2009
The Colorful Helly Property for Hypergraphs.
Electron. Notes Discret. Math., 2009

2004
On regular-stable graphs.
Ars Comb., 2004

2003
A characterisation of cubic parity graphs.
Australas. J Comb., 2003

2001
Characterization of <i>Z</i><sub>m</sub>-well-covered graphs for some classes of graphs.
Discret. Math., 2001

2000
On 1-Zm-well-covered and strongly Zm-well-covered graphs.
Ars Comb., 2000


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