Ana Carolina Lorena

Ana Carolina Lorena, Ivan G. Costa, Newton Spolaôr, Marcílio Carlos Pereira de Souto: Analysis of complexity indices for classification problems: Cancer gene expression data. Neurocomputing 75(1): 33-42 (2012)

Paulo Henrique Pisani, Ana Carolina Lorena: Evolutionary neural networks applied to keystroke dynamics: Genetic and immune based. IEEE Congress on Evolutionary Computation 2012: 1-8

Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. Carvalho: A Study on Class Noise Detection and Elimination. SBRN 2012: 13-18

Paulo Henrique Pisani, Ana Carolina Lorena: Negative Selection with High-Dimensional Support for Keystroke Dynamics. SBRN 2012: 19-24

Ana Carolina Lorena, Carlos Eduardo Thomaz, Aurora Trinidad Ramirez Pozo (Eds.): 2012 Brazilian Symposium on Neural Networks, Curitiba, Paraná, Brazil, October 20-25, 2012. IEEE 2012, isbn 978-1-4673-2641-4

Ana Carolina Lorena, Luís F. O. Jacintho, Marinez Ferreira de Siqueira, Renato De Giovanni, Lúcia G. Lohmann, André Carlos Ponce Leon Ferreira de Carvalho, Missae Yamamoto: Comparing machine learning classifiers in potential distribution modelling. Expert Syst. Appl. 38(5): 5268-5275 (2011)

Newton Spolaôr, Ana Carolina Lorena, Huei Diana Lee: Multi-objective Genetic Algorithm Evaluation in Feature Selection. EMO 2011: 462-476

Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho: Building binary-tree-based multiclass classifiers using separability measures. Neurocomputing 73(16-18): 2837-2845 (2010)

Marcílio Carlos Pereira de Souto, Ana Carolina Lorena, Newton Spolaôr, Ivan Gesteira Costa: Complexity measures of supervised classifications tasks: A case study for cancer gene expression data. IJCNN 2010: 1-7

Ana Carolina Lorena, Newton Spolaôr, Ivan G. Costa, Marcilio C. P. Souto: On the Complexity of Gene Marker Selection. SBRN 2010: 85-90

Newton Spolaôr, Ana Carolina Lorena, Huei Diana Lee: Use of Multiobjective Genetic Algorithms in Feature Selection. SBRN 2010: 146-151

Francisco de Assis Zampirolli, Beatriz Stransky, Ana Carolina Lorena, Fábio Luis de Melo Paulon: Segmentation and Classification of Histological Images - Application of Graph Analysis and Machine Learning Methods. SIBGRAPI 2010: 331-338

Hugo L. Borges, Ana Carolina Lorena: A Survey on Recommender Systems for News Data. Smart Information and Knowledge Management 2010: 129-151

Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho: Evaluation Functions for the Evolutionary Design of Multiclass Support Vector Machines. International Journal of Computational Intelligence and Applications 8(1): 53-68 (2009)

Giampaolo L. Libralon, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena: Pre-processing for noise detection in gene expression classification data. J. Braz. Comp. Soc. 15(1): 3-11 (2009)

André L. B. Miranda, Luís Paulo F. Garcia, André C. P. L. F. Carvalho, Ana Carolina Lorena: Use of Classification Algorithms in Noise Detection and Elimination. HAIS 2009: 417-424

Ivan G. Costa, Ana Carolina Lorena, Liciana R. M. P. y Peres, Marcílio Carlos Pereira de Souto: Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets. BSB 2009: 48-59

Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho, João Gama: A review on the combination of binary classifiers in multiclass problems. Artif. Intell. Rev. 30(1-4): 19-37 (2008)

Ana Carolina Lorena, Ivan G. Costa, Marcílio Carlos Pereira de Souto: On the Complexity of Gene Expression Classification Data Sets. HIS 2008: 825-830

Giampaolo L. Libralon, André Carlos Ponce Leon Ferreira de Carvalho, Ana Carolina Lorena: Ensembles of Pre-processing Techniques for Noise Detection in Gene Expression Data. ICONIP (1) 2008: 486-493

Ana Carolina Lorena, Marinez Ferreira de Siqueira, Renato De Giovanni, André Carlos Ponce Leon Ferreira de Carvalho, Ronaldo C. Prati: Potential Distribution Modelling Using Machine Learning. IEA/AIE 2008: 255-264

Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho: Tree Decomposition of Multiclass Problems. SBRN 2008: 189-194

Eduardo P. Costa, Ana Carolina Lorena, André C. P. L. F. Carvalho, Alex Alves Freitas: Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions. BSB 2008: 35-46

Willian Zalewski, Huei Diana Lee, Adewole M. J. F. Caetano, Ana Carolina Lorena, André Gustavo Maletzke, João José Fagundes, Cláudio Saddy, Rodrigues Coy, Feng Chung Wu: Evaluation of Models for the Recognition of Hadwritten Digits in Medical Forms. BSB 2008: 178-181

Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho: Investigation of Strategies for the Generation of Multiclass Support Vector Machines. New Challenges in Applied Intelligence Technologies 2008: 319-328

Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho: evolutionary Design of Code-matrices for Multiclass Problems. Soft Computing for Knowledge Discovery and Data Mining 2008: 153-184

Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho: Protein cellular localization prediction with Support Vector Machines and Decision Trees. Comp. in Bio. and Med. 37(2): 115-125 (2007)

Ana Carolina Lorena, André C. P. L. F. Carvalho: Evolutionary design of multiclass support vector machines. Journal of Intelligent and Fuzzy Systems 18(5): 445-454 (2007)

Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho: Uma Introdução às Support Vector Machines. RITA 14(2): 43-67 (2007)

Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho: Comparing Several Evaluation Functions in the Evolutionary Design of Multiclass Support Vector Machines. HIS 2007: 53-58

Eduardo P. Costa, Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho, Alex Alves Freitas, Nicholas Holden: Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees. BSB 2007: 126-137

Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho: Multiclass SVM Design and Parameter Selection with Genetic Algorithms. SBRN 2006: 131-136

Daniela Mayumi Ushizima, Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho: Support Vector Machines Applied to White Blood Cell Recognition. HIS 2005: 379-384

Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho: Minimum Spanning Trees in Hierarchical Multiclass Support Vector Machines Generation. IEA/AIE 2005: 422-431

Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho: Protein Cellular Localization with Multiclass Support Vector Machines and Decision Trees. BSB 2005: 42-53

Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho: Comparing Techniques for Multiclass Classification Using Binary SVM Predictors. MICAI 2004: 272-281

Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho: An Hybrid GA/SVM Approach for Multiclass Classification with Directed Acyclic Graphs. SBIA 2004: 366-375

Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho: Human Splice Site Identification with Multiclass Support Vector Machines and Bagging. ICANN 2003: 234-244

Ana Carolina Lorena, Gustavo E. A. P. A. Batista, André Carlos Ponce Leon Ferreira de Carvalho, Maria Carolina Monard: The Influence of Noisy Patterns in the Performance of Learning Methods in the Splice Junction Recognition Problem. SBRN 2002: 31-37

Ana Carolina Lorena, Gustavo E. A. P. A. Batista, André Carlos Ponce Leon Ferreira de Carvalho, Maria Carolina Monard: Splice Junction Recognition using Machine Learning Techniques. WOB 2002: 32-39

Silvia H. M. G. da Silva, Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho, Danielle D. Tambasco, Luciana C. A. Regitano: Aprendizado de Máquina Aplicado ao Estudo de Marcadores Moleculares para Produção de Carne Bovina. WOB 2002: 105-107