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Ana Carolina Lorena
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Year
Inteligência artificial: uma abordagem de aprendizado de máquina
K Faceli, AC Lorena, J Gama, TA Almeida, ACPLF Carvalho
621*2021
Uma introdução às support vector machines
AC Lorena, AC De Carvalho
Revista de Informática Teórica e Aplicada 14 (2), 43-67, 2007
357*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
3512008
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
2772019
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
2082011
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
1972007
Evolutionary tuning of SVM parameter values in multiclass problems
AC Lorena, AC De Carvalho
Neurocomputing 71 (16-18), 3326-3334, 2008
1832008
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
1652011
Effect of label noise in the complexity of classification problems
LPF Garcia, AC de Carvalho, AC Lorena
Neurocomputing 160, 108-119, 2015
1552015
A systematic review on keystroke dynamics
PH Pisani, AC Lorena
Journal of the Brazilian Computer Society 19, 573-587, 2013
1172013
Extração de conhecimento de dados: data mining
J Gama, ACPLF Carvalho, K Faceli, AC Lorena, M Oliveira
1142012
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
1042009
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
832012
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
792017
Noise detection in the meta-learning level
LPF Garcia, AC de Carvalho, AC Lorena
Neurocomputing 176, 14-25, 2016
782016
Data complexity meta-features for regression problems
AC Lorena, AI Maciel, PBC de Miranda, IG Costa, RBC Prudêncio
Machine Learning 107, 209-246, 2018
772018
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
742007
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
642003
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
602009
Protein cellular localization prediction with support vector machines and decision trees
AC Lorena, AC de Carvalho
Computers in Biology and Medicine 37 (2), 115-125, 2007
532007
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Articles 1–20