Fábio Ribeiro Cerqueira

Author

Also Known As

Cerqueira, Fabio, F. Cerqueira, F. R. Cerqueira, Fabio Cerqueira, Fabio R Cerqueira, Fabio R. Cerqueira, Fabio Ribeiro Cerqueira, Francisco Cerqueira, Fábio R. Cerqueira, Fábio Ribeiro Cerqueira

Publications

378

Citations

H-Index

Concepts

All Affiliations

Universidade Federal de Viçosa Universidade Federal Fluminense UMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik Laboratório Nacional de Computação Científica

About

Fábio Ribeiro Cerqueira is an author at Universidade Federal de Viçosa specializing in engineering, data science, and pattern recognition.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	69
2	Medicine	2	2	43
3	Social Sciences	2	2	25
4	Natural Sciences	1	1	23
5	Public Health	1	1	24

Fábio Ribeiro Cerqueira

Publications

195

Citations

H-Index

Page 1

	Year	Citations
Geminivirus data warehouse: a database enriched with machine learning approaches José Cleydson F. Silva, Thales Francisco Mota Carvalho, Marcos Fernando Basso, BMC Bioinformatics	2017	33
NICeSim: An open-source simulator based on machine learning techniques to support medical research on prenatal and perinatal care decision making Fábio Ribeiro Cerqueira, Tiago Geraldo Ferreira, Alcione de Paiva Oliveira, Artificial Intelligence in Medicine Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolPredictive Analytics	2014	24
MUDE: A New Approach for Optimizing Sensitivity in the Target-Decoy Search Strategy for Large-Scale Peptide/Protein Identification Fábio Ribeiro Cerqueira, Armin Graber, Benno Schwikowski, Journal of Proteome Research Molecular BiologyOptimizing SensitivityBiostatisticsShotgun ProteomicsProteomics	2010	23
Mirnacle: machine learning with SMOTE and random forest for improving selectivity in pre-miRNA ab initio prediction Yuri Bento Marques, Alcione de Paiva Oliveira, Ana Tereza Ribeiro de Vasconcelos, BMC Bioinformatics	2016	23
Demoting redundant features to improve the discriminatory ability in cancer data Melanie Osl, Stephan Dreiseitl, Fábio Ribeiro Cerqueira, Journal of Biomedical Informatics EngineeringData SciencePattern RecognitionMedicineBiometrics	2009	20
Rama: a machine learning approach for ribosomal protein prediction in plants Thales Francisco Mota Carvalho, José Cleydson F. Silva, Iara P. Calil, Scientific Reports	2017	18
Investigation of the visual attention role in clinical bioethics decision-making using machine learning algorithms Daniel L. Fernandes, Rodrigo Siqueira‐Batista, Andréia Patrícia Gomes, Procedia Computer Science EngineeringMachine LearningClinical Decision-makingMachine Learning AlgorithmsEuthanasia Decision	2017	15
Fangorn Forest (F2): a machine learning approach to classify genes and genera in the family Geminiviridae José Cleydson F. Silva, Thales Francisco Mota Carvalho, Elizabeth P. B. Fontes, BMC Bioinformatics	2017	15
MUMAL: Multivariate analysis in shotgun proteomics using machine learning techniques Fábio Ribeiro Cerqueira, Ricardo Ferreira, Alcione de Paiva Oliveira, BMC Genomics	2012	14
Patient-dependent epilepsy seizure detection using random forest classification over one-dimension transformed EEG data Marco Antonio Pinto-Orellana, Fábio Ribeiro Cerqueira EngineeringDiagnosisElectroencephalographySocial SciencesBiomedical Signal Analysis	2016	10

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