Ana Carolina Lorena

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Luís Paulo Faina GarciaUniversity of BrasiliaVerified email at unb.br
Marcilio C. P. de SoutoLIFO/Univ. Orleans, FranceVerified email at univ-orleans.fr
Joao GamaProfessor, Faculty of Economics, University of Porto, and INESC TECVerified email at fep.up.pt
Paulo Henrique PisaniUniversidade Federal do ABCVerified email at ufabc.edu.br
Newton SpolaôrWestern Paraná State UniversityVerified email at unioeste.br
Renato AnghinahFMUSPVerified email at usp.br
Katti FaceliProfessor de Ciência da Computação, Universidade Federal de São CarlosVerified email at ufscar.br
Lucas R. TrambaiolliMcLean Hospital, Harvard Medical SchoolVerified email at mclean.harvard.edu
Francisco J. FragaFull Professor at Federal University of the ABC - UFABCVerified email at ufabc.edu.br
Ivan G. CostaProfessor, Institute of Computational Genomics, RWTH AachenVerified email at rwth-aachen.de
Freitas, Alex A.Professor of Computational Intelligence, University of KentVerified email at kent.ac.uk
Ricardo Bastos C. PrudencioCentro de Informática - UFPE - BrasilVerified email at cin.ufpe.br
Ricardo NitriniProfessor de Neurologia, Faculdade de Medicina da Universidade de Sao PauloVerified email at usp.br
Huei Diana LeeWest Paraná State UniversityVerified email at unioeste.br
Jens LehmannPrincipal Scientist at Amazon Inc., Honorary Professor at TU DresdenVerified email at amazon.com
Renato De GiovanniCRIA - Centro de Referência em Informação AmbientalVerified email at cria.org.br
Marinez Ferreira de SiqueiraPesquisadora do Jardim Botânico do Rio de JaneiroVerified email at jbrj.gov.br
Paulo A M KandaNeurovale TaubatéVerified email at sinapsy.com.br
Julián Luengo MartínAssociate Professor at University of GranadaVerified email at decsai.ugr.es
Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainVerified email at decsai.ugr.es

Ana Carolina Lorena

Instituto Tecnológico de Aeronáutica

Verified email at ita.br

Aprendizado de Máquina Mineração de Dados Machine Learning Data Mining Data Science


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Inteligência artificial: uma abordagem de aprendizado de máquina K Faceli, AC Lorena, J Gama, TA Almeida, ACPLF Carvalho	651*	2021
Uma introdução às support vector machines AC Lorena, AC De Carvalho Revista de Informática Teórica e Aplicada 14 (2), 43-67, 2007	376*	2007
A review on the combination of binary classifiers in multiclass problems AC Lorena, AC De Carvalho, JMP Gama Artificial Intelligence Review 30, 19-37, 2008	368	2008
How complex is your classification problem? a survey on measuring classification complexity AC Lorena, LPF Garcia, J Lehmann, MCP Souto, TK Ho ACM Computing Surveys (CSUR) 52 (5), 1-34, 2019	310	2019
Comparing machine learning classifiers in potential distribution modelling AC Lorena, LFO Jacintho, MF Siqueira, R De Giovanni, LG Lohmann, ... Expert Systems with Applications 38 (5), 5268-5275, 2011	219	2011
A review of performance evaluation measures for hierarchical classifiers E Costa, A Lorena, A Carvalho, A Freitas Evaluation methods for machine learning II: Papers from the AAAI-2007 …, 2007	204	2007
Evolutionary tuning of SVM parameter values in multiclass problems AC Lorena, AC De Carvalho Neurocomputing 71 (16-18), 3326-3334, 2008	184	2008
Improving Alzheimer's disease diagnosis with machine learning techniques LR Trambaiolli, AC Lorena, FJ Fraga, PAM Kanda, R Anghinah, R Nitrini Clinical EEG and neuroscience 42 (3), 160-165, 2011	178	2011
Effect of label noise in the complexity of classification problems LPF Garcia, AC de Carvalho, AC Lorena Neurocomputing 160, 108-119, 2015	163	2015
A systematic review on keystroke dynamics PH Pisani, AC Lorena Journal of the Brazilian Computer Society 19, 573-587, 2013	121	2013
Extração de conhecimento de dados: data mining J Gama, ACPLF Carvalho, K Faceli, AC Lorena, M Oliveira	120	2012
Use of classification algorithms in noise detection and elimination ALB Miranda, LPF Garcia, AC Carvalho, AC Lorena Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS …, 2009	104	2009
Data complexity meta-features for regression problems AC Lorena, AI Maciel, PBC de Miranda, IG Costa, RBC Prudêncio Machine Learning 107, 209-246, 2018	86	2018
Analysis of complexity indices for classification problems: Cancer gene expression data AC Lorena, IG Costa, N Spolaôr, MCP De Souto Neurocomputing 75 (1), 33-42, 2012	86	2012
Feature selection before EEG classification supports the diagnosis of Alzheimer’s disease LR Trambaiolli, N Spolaôr, AC Lorena, R Anghinah, JR Sato Clinical Neurophysiology 128 (10), 2058-2067, 2017	82	2017
Noise detection in the meta-learning level LPF Garcia, AC de Carvalho, AC Lorena Neurocomputing 176, 14-25, 2016	81	2016
Comparing several approaches for hierarchical classification of proteins with decision trees EP Costa, AC Lorena, AC Carvalho, AA Freitas, N Holden Advances in Bioinformatics and Computational Biology: Second Brazilian …, 2007	76	2007
Técnicas de aprendizado de máquina para problemas de biologia molecular MCP De Souto, A Lorena, A Delbem, A de Carvalho Sociedade Brasileira de Computaçao 1 (2), 2003	65	2003
Pre-processing for noise detection in gene expression classification data GL Libralon, ACPLF de Carvalho, AC Lorena Journal of the Brazilian Computer Society 15, 3-11, 2009	63	2009
Assessing the data complexity of imbalanced datasets VH Barella, LPF Garcia, MCP de Souto, AC Lorena, AC de Carvalho Information Sciences 553, 83-109, 2021	58	2021

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