Maria Carolina Monard

Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee: A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach. Electr. Notes Theor. Comput. Sci. 292: 135-151 (2013)

Everton Alvares Cherman, Jean Metz, Maria Carolina Monard: Incorporating label dependency into the binary relevance framework for multi-label classification. Expert Syst. Appl. 39(2): 1647-1655 (2012)

Marcos Evandro Cintra, Maria Carolina Monard, Heloisa de Arruda Camargo: Using fuzzy formal concepts in the genetic generation of fuzzy systems. FUZZ-IEEE 2012: 1-8

Jean Metz, Luís F. D. de Abreu, Everton Alvares Cherman, Maria Carolina Monard: On the Estimation of Predictive Evaluation Measure Baselines for Multi-label Learning. IBERAMIA 2012: 189-198

Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee: Filter Approach Feature Selection Methods to Support Multi-label Learning Based on ReliefF and Information Gain. SBIA 2012: 72-81

Everton Alvares Cherman, Maria Carolina Monard, Jean Metz: Multi-label Problem Transformation Methods: a Case Study. CLEI Electron. J. 14(1) (2011)

Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard: A Survey on Graphical Methods for Classification Predictive Performance Evaluation. IEEE Trans. Knowl. Data Eng. 23(11): 1601-1618 (2011)

Marcos Evandro Cintra, Maria Carolina Monard, Everton Alvares Cherman, Heloisa de Arruda Camargo: On the estimation of the number of fuzzy sets for fuzzy rule-based classification systems. HIS 2011: 211-216

Marcos Evandro Cintra, Carlos Alberto Alves Meira, Maria Carolina Monard, Heloisa A. Camargo, Luiz Henrique A. Rodrigues: The use of fuzzy decision trees for coffee rust warning in Brazilian crops. ISDA 2011: 1347-1352

Marcos E. Cintra, Maria Carolina Monard, Heloisa A. Camargo: Data base definition and feature selection for the genetic generation of fuzzy rule bases. Evolving Systems 1(4): 241-252 (2010)

Everton Alvares Cherman, Jean Metz, Maria Carolina Monard: A Simple Approach to Incorporate Label Dependency in Multi-label Classification. MICAI (2) 2010: 33-43

Marcos Evandro Cintra, Maria Carolina Monard, Heloisa de Arruda Camargo: An Evaluation of Rule-Based Classification Models Induced by a Fuzzy Method and Two Classic Learning Algorithms. SBRN 2010: 188-193

Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard: Data mining with imbalanced class distributions: concepts and methods. IICAI 2009: 359-376

Daniel de Faveri Honorato, Everton Alvares Cherman, Huei Diana Lee, Maria Carolina Monard, Feng Chung Wu: Construction of an Attribute-Value Representation for Semi-structured Medical Findings Knowledge Extraction. CLEI Electron. J. 11(2) (2008)

Flavia Cristina Bernardini, Ronaldo C. Prati, Maria Carolina Monard: Evolving Sets of Symbolic Classifiers into a Single Symbolic Classifier Using Genetic Algorithms. HIS 2008: 525-530

Marcos Evandro Cintra, Heloisa de Arruda Camargo, Maria Carolina Monard: Fuzzy Feature Subset Selection Using the Wang & Mendel Method. HIS 2008: 590-595

Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard: A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System. IFIP AI 2008: 131-140

Edson Takashi Matsubara, Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard: Missing Value Imputation Using a Semi-supervised Rank Aggregation Approach. SBIA 2008: 217-226

Huei Diana Lee, Maria Carolina Monard, Richardson Floriani Voltolini, Ronaldo Cristiano Prati, Feng Chung Wu: A Simple Evaluation Model for Feature Subset Selection Algorithms. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 10(32): 9-17 (2006)

Gustavo E. A. P. A. Batista, Claudia Regina Milaré, Ronaldo Cristiano Prati, Maria Carolina Monard: A Comparison of Methods for Rule Subset Selection Applied to Associative Classification. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 10(32): 29-35 (2006)

Flavia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati: Constructing ensembles of symbolic classifiers. Int. J. Hybrid Intell. Syst. 3(3): 159-167 (2006)

Adriano D. Pila, Rafael Giusti, Ronaldo C. Prati, Maria Carolina Monard: A Multi-Objective Evolutionary Algorithm to Build Knowledge Classification Rules with Specific Properties. HIS 2006: 41

Huei Diana Lee, Maria Carolina Monard, Feng Chung Wu: A Fractal Dimension Based Filter Algorithm to Select Features for Supervised Learning. IBERAMIA-SBIA 2006: 278-288

Edson Takashi Matsubara, Maria Carolina Monard, Ronaldo C. Prati: On the Class Distribution Labelling Step Sensitivity of CO-TRAINING. IFIP AI 2006: 199-208

Flavia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati: Constructing Ensembles of Symbolic Classifiers. HIS 2005: 315-322

Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard: Balancing Strategies and Class Overlapping. IDA 2005: 24-35

Edson Takashi Matsubara, Maria Carolina Monard, Gustavo E. A. P. A. Batista: Multi-view Semi-supervised Learning: An Approach to Obtain Different Views from Text Datasets. LAPTEC 2005: 97-104

Huei Diana Lee, Maria Carolina Monard, Feng Chung Wu: Feature Subset Selection for Supervised Learning using Fractal Dimension. LAPTEC 2005: 135-142

Flavia Cristina Bernardini, Maria Carolina Monard: Methods for Constructing Symbolic Ensembles from Symbolic Classifiers. LAPTEC 2005: 161-168

Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard: A study of the behavior of several methods for balancing machine learning training data. SIGKDD Explorations 6(1): 20-29 (2004)

Gustavo E. A. P. A. Batista, Maria Carolina Monard, Ana L. C. Bazzan: Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets. KELSI 2004: 20-32

Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard: Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior. MICAI 2004: 312-321

Claudia Regina Milaré, Gustavo E. A. P. A. Batista, André Carlos Ponce Leon Ferreira de Carvalho, Maria Carolina Monard: Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks. MICAI 2004: 833-843

Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard: Learning with Class Skews and Small Disjuncts. SBIA 2004: 296-306

Gustavo E. A. P. A. Batista, Maria Carolina Monard: An Analysis of Four Missing Data Treatment Methods for Supervised Learning. Applied Artificial Intelligence 17(5-6): 519-533 (2003)

José Augusto Baranauskas, Maria Carolina Monard: Combining symbolic classifiers from multiple inducers. Knowl.-Based Syst. 16(3): 129-136 (2003)

Gustavo E. A. P. A. Batista, Ana L. C. Bazzan, Maria Carolina Monard: Balancing Training Data for Automated Annotation of Keywords: a Case Study. WOB 2003: 10-18

Adenilso da Silva Simão, Tatiana Sugeta, José Carlos Maldonado, Maria Carolina Monard: PROLOG & TXL: A Case Study for Prototyping Structural Testing Supporting Tools . CLEI Electron. J. 5(1) (2002)

Claudia Regina Milaré, André Carlos Ponce Leon Ferreira de Carvalho, Maria Carolina Monard: An Approach to Explain Neural Networks using Symbolic Algorithms. International Journal of Computational Intelligence and Applications 2(4): 365-376 (2002)

Gustavo E. A. P. A. Batista, Maria Carolina Monard: A Study of K-Nearest Neighbour as an Imputation Method. HIS 2002: 251-260

Claudia Regina Milaré, André Carlos Ponce Leon Ferreira de Carvalho, Maria Carolina Monard: Extracting Knowledge from Artificial Neural Networks: An Empirical Comparison of Trepan and Symbolic Learning Algorithms. MICAI 2002: 272-281

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

Maria Carolina Monard, Jorge A. O. Bruno, Joaquina Faour, Alicia Batana: Pressure Dependence of Ionic Polarizabilities in Crystals. Computers & Chemistry 25(5): 429-438 (2001)

Adenilso da Silva Simão, Tatiana Sugeta, José Carlos Maldonado, Maria Carolina Monard: Prolog & TXL: Um Estudo de Caso para Prototipação de Ferramentas de Apoio para o Teste Estrutural. JIISIC 2001: 15-22

Luis Carlos Molina Félix, Solange Oliveira Rezende, Maria Carolina Monard, Chandler Wellington Caulkis: Transforming a Regression Problem into a Classification Problem using Hybrid Discretization. Computación y Sistemas 4(1): 44-52 (2000)

Gustavo E. A. P. A. Batista, André Carlos Ponce Leon Ferreira de Carvalho, Maria Carolina Monard: Applying One-Sided Selection to Unbalanced Datasets. MICAI 2000: 315-325

Huei Diana Lee, Maria Carolina Monard, Sandro C. Esteves: Indução Construtiva Guiada pelo Conhecimento: Um Estudo de Caso do Processamento de Sêmen Diagnóstico. IBERAMIA-SBIA 2000 Open Discussion Track 2000: 157-166

Paulo Sérgio Horst, Maria Carolina Monard: Um Sistema Computacional para Avaliação de Regras Induzidas por Algoritmos de Aprendizado de Máquina. IBERAMIA-SBIA 2000 Open Discussion Track 2000: 167-176

José Augusto Baranauskas, Maria Carolina Monard: An Environment for Rule Extraction and Evaluation from Databases. IBERAMIA-SBIA 2000 Open Discussion Track 2000: 187-196

Maria Carolina Monard, Jaime Simão Sichman (Eds.): Advances in Artificial Intelligence, International Joint Conference, 7th Ibero-American Conference on AI, 15th Brazilian Symposium on AI, IBERAMIA-SBIA 2000, Atibaia, SP, Brazil, November 19-22, 2000, Proceedings. Lecture Notes in Computer Science 1952, Springer 2000, isbn 3-540-41276-X

Maria Carolina Monard, Jaime Simão Sichman (Eds.): International Joint Conference, 7th Ibero-American Conference on AI, 15th Brazilian Symposium on AI, IBERAMIA-SBIA 2000, Open Discussion Track Proceedings, Atibaia, SP, Brazil, November 19-22, 2000. ICMC/USP 2000, isbn 85-87837-03-6

Maria Carolina Monard, Alicia Batana, Jorge A. O. Bruno: Calculation of the Pressure Dependence of Anion Polarizabilities in Crystals. Computers & Chemistry 23(5): 493-501 (1999)

Maria do Carmo Nicoletti, Maria Carolina Monard: Constructing the Extensional Representation of an Intentional Domain Theory in Inductive Logic Programming. SBIA 1995: 171-180