Maria Carolina Monard

Publication Activity (10 Years)

Years Active: 1995-2019
Publications (10 Years): 9

Top Topics

Learning Algorithm

Active Learning

Formal Concepts

Top Venues

CLEI Selected Papers

Publications

Everton Alvares Cherman, Yannis Papanikolaou, Grigorios Tsoumakas, Maria Carolina Monard
Multi-label active learning: key issues and a novel query strategy. Evol. Syst. 10 (1) (2019)
Newton Spolaôr, Maria Carolina Monard, Grigorios Tsoumakas, Huei Diana Lee
A systematic review of multi-label feature selection and a new method based on label construction. Neurocomputing 180 (2016)
Everton Alvares Cherman, Grigorios Tsoumakas, Maria Carolina Monard
Active Learning Algorithms for Multi-label Data. AIAI (2016)
Marcos E. Cintra, Heloisa A. Camargo, Maria Carolina Monard
Genetic generation of fuzzy systems with rule extraction using formal concept analysis. Inf. Sci. (2016)
Newton Spolaôr, Maria Carolina Monard, Huei Diana Lee
Feature Selection for Multi-Label Learning. IJCAI (2015)
Everton Alvares Cherman, Newton Spolaôr, Jorge Carlos Valverde-Rebaza, Maria Carolina Monard
Lazy Multi-label Learning Algorithms Based on Mutuality Strategies. J. Intell. Robotic Syst. 80 (Supplement-1) (2015)
Jean Metz, Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard
Comparing published multi-label classifier performance measures to the ones obtained by a simple multi-label baseline classifier. CoRR (2015)
Marcos E. Cintra, Maria Carolina Monard, Heloisa A. Camargo
FCA-Based Rule Generator, a framework for the genetic generation of fuzzy classification systems using formal concept analysis. FUZZ-IEEE (2015)
Igor Braga, Maria Carolina Monard
Improving the kernel regularized least squares method for small-sample regression. Neurocomputing 163 (2015)
Newton Spolaôr, Maria Carolina Monard, Grigorios Tsoumakas, Huei Diana Lee
Label Construction for Multi-label Feature Selection. BRACIS (2014)
Newton Spolaôr, Maria Carolina Monard
Evaluating ReliefF-Based Multi-Label Feature Selection Algorithm. IBERAMIA (2014)
Victor Augusto Moraes Carvalho, Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard
A framework for multi-label exploratory data analysis: ML-EDA. CLEI (2014)
Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee
ReliefF for Multi-label Feature Selection. BRACIS (2013)
Igor Braga, Laís Pessine do Carmo, Caio César Benatti, Maria Carolina Monard
A Note on Parameter Selection for Support Vector Machines. MICAI (2) (2013)
Jimena Torres Tomás, Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard
A Framework to Generate Synthetic Multi-label Datasets. CLEI Selected Papers (2013)
Igor Braga, Maria Carolina Monard
Statistical and Heuristic Model Selection in Regularized Least-Squares. BRACIS (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) (2012)
Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard, Huei Diana Lee
A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach. CLEI Selected Papers (2012)
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)
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)
Marcos Evandro Cintra, Maria Carolina Monard, Heloisa de Arruda Camargo
Using fuzzy formal concepts in the genetic generation of fuzzy systems. FUZZ-IEEE (2012)
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)
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) (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)
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)
Marcos E. Cintra, Maria Carolina Monard, Heloisa A. Camargo
Data base definition and feature selection for the genetic generation of fuzzy rule bases. Evol. Syst. 1 (4) (2010)
Everton Alvares Cherman, Jean Metz, Maria Carolina Monard
A Simple Approach to Incorporate Label Dependency in Multi-label Classification. MICAI (2) (2010)
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
Data mining with imbalanced class distributions: concepts and methods. IICAI (2009)
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)
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)
Marcos Evandro Cintra, Heloisa de Arruda Camargo, Maria Carolina Monard
Fuzzy Feature Subset Selection Using the Wang & Mendel Method. HIS (2008)
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)
Flávia Cristina Bernardini, Ronaldo C. Prati, Maria Carolina Monard
Evolving Sets of Symbolic Classifiers into a Single Symbolic Classifier Using Genetic Algorithms. HIS (2008)
Edson Takashi Matsubara, Maria Carolina Monard, Ronaldo C. Prati
On the Class Distribution Labelling Step Sensitivity of CO-TRAINING. IFIP AI (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 Artif. 10 (32) (2006)
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 Artif. 10 (32) (2006)
Huei Diana Lee, Maria Carolina Monard, Feng Chung Wu
A Fractal Dimension Based Filter Algorithm to Select Features for Supervised Learning. IBERAMIA-SBIA (2006)
Flávia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati
Constructing ensembles of symbolic classifiers. Int. J. Hybrid Intell. Syst. 3 (3) (2006)
Adriano Donizete Pila, Rafael Giusti, Ronaldo C. Prati, Maria Carolina Monard
A Multi-Objective Evolutionary Algorithm to Build Knowledge Classification Rules with Specific Properties. HIS (2006)
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)
Flávia Cristina Bernardini, Maria Carolina Monard
Methods for Constructing Symbolic Ensembles from Symbolic Classifiers. LAPTEC (2005)
Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard
Balancing Strategies and Class Overlapping. IDA (2005)
Huei Diana Lee, Maria Carolina Monard, Feng Chung Wu
Feature Subset Selection for Supervised Learning using Fractal Dimension. LAPTEC (2005)
Flávia Cristina Bernardini, Maria Carolina Monard, Ronaldo C. Prati
Constructing Ensembles of Symbolic Classifiers. HIS (2005)
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)
Claudia Regina Milaré, Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard
Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks. MICAI (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)
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Maria Carolina Monard
Learning with Class Skews and Small Disjuncts. SBIA (2004)
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 Explor. 6 (1) (2004)
Gustavo E. A. P. A. Batista, Maria Carolina Monard
An Analysis of Four Missing Data Treatment Methods for Supervised Learning. Appl. Artif. Intell. 17 (5-6) (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)
José Augusto Baranauskas, Maria Carolina Monard
Combining symbolic classifiers from multiple inducers. Knowl. Based Syst. 16 (3) (2003)
Claudia Regina Milaré, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard
An Approach to Explain Neural Networks using Symbolic Algorithms. Int. J. Comput. Intell. Appl. 2 (4) (2002)
Claudia Regina Milaré, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard
Extracting Knowledge from Artificial Neural Networks: An Empirical Comparison of Trepan and Symbolic Learning Algorithms. MICAI (2002)
Ana Carolina Lorena, Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard
Splice Junction Recognition using Machine Learning Techniques. WOB (2002)
Ana Carolina Lorena, Gustavo E. A. P. A. Batista, André Carlos Ponce de 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)
Gustavo E. A. P. A. Batista, Maria Carolina Monard
A Study of K-Nearest Neighbour as an Imputation Method. HIS (2002)
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)
Maria Carolina Monard, Jorge A. O. Bruno, Joaquina Faour, Alicia Batana
Pressure Dependence of Ionic Polarizabilities in Crystals. Comput. Chem. 25 (5) (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)
Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard
Applying One-Sided Selection to Unbalanced Datasets. MICAI (2000)
José Augusto Baranauskas, Maria Carolina Monard
An Environment for Rule Extraction and Evaluation from Databases. IBERAMIA-SBIA 2000 Open Discussion Track (2000)
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) (2000)
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)
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)
Chandler W. Caulkins, Robson B. T. Oliveira, André C. P. L. F. de Carvalho, Solange O. Rezende, Maria Carolina Monard
Applying neural networks to determine vibration parameters in a turbine. IJCNN (1999)
Maria Carolina Monard, Alicia Batana, Jorge A. O. Bruno
Calculation of the Pressure Dependence of Anion Polarizabilities in Crystals. Comput. Chem. 23 (5) (1999)
Maria do Carmo Nicoletti, Maria Carolina Monard
Constructing the Extensional Representation of an Intentional Domain Theory in Inductive Logic Programming. SBIA (1995)