Inteligência artificial: uma abordagem de aprendizado de máquina K Faceli, AC Lorena, J Gama, TA Almeida, ACPLF Carvalho | 618* | 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 | 350 | 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 | 277 | 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 | 207 | 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 | 197 | 2007 |
Evolutionary tuning of SVM parameter values in multiclass problems AC Lorena, AC De Carvalho Neurocomputing 71 (16-18), 3326-3334, 2008 | 183 | 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 | 164 | 2011 |
Effect of label noise in the complexity of classification problems LPF Garcia, AC de Carvalho, AC Lorena Neurocomputing 160, 108-119, 2015 | 155 | 2015 |
A systematic review on keystroke dynamics PH Pisani, AC Lorena Journal of the Brazilian Computer Society 19, 573-587, 2013 | 117 | 2013 |
Extração de conhecimento de dados: data mining J Gama, ACPLF Carvalho, K Faceli, AC Lorena, M Oliveira | 114 | 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 |
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 | 83 | 2012 |
Noise detection in the meta-learning level LPF Garcia, AC de Carvalho, AC Lorena Neurocomputing 176, 14-25, 2016 | 78 | 2016 |
Data complexity meta-features for regression problems AC Lorena, AI Maciel, PBC de Miranda, IG Costa, RBC Prudêncio Machine Learning 107, 209-246, 2018 | 77 | 2018 |
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 | 77 | 2017 |
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 | 74 | 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 | 64 | 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 | 58 | 2009 |
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 | 53 | 2007 |