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

Applying neural networks to determine vibration parameters in a turbine. - Chandler W. Caulkins; Robson B. T. Oliveira; André C. P. L. F. de Carvalho; Solange O. Rezende; Maria Carolina Monard (IJCNN, 1999)

Calculation of the Pressure Dependence of Anion Polarizabilities in Crystals. - Maria Carolina Monard; Alicia Batana; Jorge A. O. Bruno (Comput. Chem., 1999)

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

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

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

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

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

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

Pressure Dependence of Ionic Polarizabilities in Crystals. - Maria Carolina Monard; Jorge A. O. Bruno; Joaquina Faour; Alicia Batana (Comput. Chem., 2001)

A Study of K-Nearest Neighbour as an Imputation Method. - Gustavo E. A. P. A. Batista; Maria Carolina Monard (HIS, 2002)

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

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

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

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

An Approach to Explain Neural Networks using Symbolic Algorithms. - Claudia Regina Milaré; André Carlos Ponce de Leon Ferreira de Carvalho; Maria Carolina Monard (Int. J. Comput. Intell. Appl., 2002)

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

An Analysis of Four Missing Data Treatment Methods for Supervised Learning. - Gustavo E. A. P. A. Batista; Maria Carolina Monard (Appl. Artif. Intell., 2003)

Combining symbolic classifiers from multiple inducers. - José Augusto Baranauskas; Maria Carolina Monard (Knowl. Based Syst., 2003)

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

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

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

Learning with Class Skews and Small Disjuncts. - Ronaldo C. Prati; Gustavo E. A. P. A. Batista; Maria Carolina Monard (SBIA, 2004)

A study of the behavior of several methods for balancing machine learning training data. - Gustavo E. A. P. A. Batista; Ronaldo C. Prati; Maria Carolina Monard (SIGKDD Explor., 2004)

Balancing Strategies and Class Overlapping. - Gustavo E. A. P. A. Batista; Ronaldo C. Prati; Maria Carolina Monard (IDA, 2005)

Methods for Constructing Symbolic Ensembles from Symbolic Classifiers. - Flávia Cristina Bernardini; Maria Carolina Monard (LAPTEC, 2005)

Feature Subset Selection for Supervised Learning using Fractal Dimension. - Huei Diana Lee; Maria Carolina Monard; Feng Chung Wu (LAPTEC, 2005)

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

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

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

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

A Comparison of Methods for Rule Subset Selection Applied to Associative Classification. - Gustavo E. A. P. A. Batista; Claudia Regina Milaré; Ronaldo Cristiano Prati; Maria Carolina Monard (Inteligencia Artif., 2006)

A Simple Evaluation Model for Feature Subset Selection Algorithms. - Huei Diana Lee; Maria Carolina Monard; Richardson Floriani Voltolini; Ronaldo Cristiano Prati; Feng Chung Wu (Inteligencia Artif., 2006)

Constructing ensembles of symbolic classifiers. - Flávia Cristina Bernardini; Maria Carolina Monard; Ronaldo C. Prati (Int. J. Hybrid Intell. Syst., 2006)

Evolving Sets of Symbolic Classifiers into a Single Symbolic Classifier Using Genetic Algorithms. - Flávia Cristina Bernardini; Ronaldo C. Prati; Maria Carolina Monard (HIS, 2008)

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

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

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

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

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

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

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

Data base definition and feature selection for the genetic generation of fuzzy rule bases. - Marcos E. Cintra; Maria Carolina Monard; Heloisa A. Camargo (Evol. Syst., 2010)

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

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

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

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

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

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

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

A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach. - Newton Spolaôr; Everton Alvares Cherman; Maria Carolina Monard; Huei Diana Lee (CLEI Selected Papers, 2012)

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

Statistical and Heuristic Model Selection in Regularized Least-Squares. - Igor Braga; Maria Carolina Monard (BRACIS, 2013)

ReliefF for Multi-label Feature Selection. - Newton Spolaôr; Everton Alvares Cherman; Maria Carolina Monard; Huei Diana Lee (BRACIS, 2013)

A Note on Parameter Selection for Support Vector Machines. - Igor Braga; Laís Pessine do Carmo; Caio César Benatti; Maria Carolina Monard (MICAI (2), 2013)

A Framework to Generate Synthetic Multi-label Datasets. - Jimena Torres Tomás; Newton Spolaôr; Everton Alvares Cherman; Maria Carolina Monard (CLEI Selected Papers, 2013)

On Rule Learning Methods: A Comparative Analysis of Classic and Fuzzy Approaches. - Marcos E. Cintra; Maria Carolina Monard; Heloisa de Arruda Camargo (Soft Computing: State of the Art Theory and Novel Applications, 2013)

Label Construction for Multi-label Feature Selection. - Newton Spolaôr; Maria Carolina Monard; Grigorios Tsoumakas; Huei Diana Lee (BRACIS, 2014)

A framework for multi-label exploratory data analysis: ML-EDA. - Victor Augusto Moraes Carvalho; Newton Spolaôr; Everton Alvares Cherman; Maria Carolina Monard (CLEI, 2014)

Evaluating ReliefF-Based Multi-Label Feature Selection Algorithm. - Newton Spolaôr; Maria Carolina Monard (IBERAMIA, 2014)

FCA-Based Rule Generator, a framework for the genetic generation of fuzzy classification systems using formal concept analysis. - Marcos E. Cintra; Maria Carolina Monard; Heloisa A. Camargo (FUZZ-IEEE, 2015)

Feature Selection for Multi-Label Learning. - Newton Spolaôr; Maria Carolina Monard; Huei Diana Lee (IJCAI, 2015)

Comparing published multi-label classifier performance measures to the ones obtained by a simple multi-label baseline classifier. - Jean Metz; Newton Spolaôr; Everton Alvares Cherman; Maria Carolina Monard (CoRR, 2015)

Improving the kernel regularized least squares method for small-sample regression. - Igor Braga; Maria Carolina Monard (Neurocomputing, 2015)

Lazy Multi-label Learning Algorithms Based on Mutuality Strategies. - Everton Alvares Cherman; Newton Spolaôr; Jorge Carlos Valverde-Rebaza; Maria Carolina Monard (J. Intell. Robotic Syst., 2015)

Active Learning Algorithms for Multi-label Data. - Everton Alvares Cherman; Grigorios Tsoumakas; Maria Carolina Monard (AIAI, 2016)

A systematic review of multi-label feature selection and a new method based on label construction. - Newton Spolaôr; Maria Carolina Monard; Grigorios Tsoumakas; Huei Diana Lee (Neurocomputing, 2016)

Genetic generation of fuzzy systems with rule extraction using formal concept analysis. - Marcos E. Cintra; Heloisa A. Camargo; Maria Carolina Monard (Inf. Sci., 2016)

Multi-label active learning: key issues and a novel query strategy. - Everton Alvares Cherman; Yannis Papanikolaou; Grigorios Tsoumakas; Maria Carolina Monard (Evol. Syst., 2019)