Maria Carolina Monard
Orcid: 0000-0001-6004-7407
According to our database1,
Maria Carolina Monard
authored at least 69 papers
between 1995 and 2019.
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Bibliography
2019
Evol. Syst., 2019
2016
Genetic generation of fuzzy systems with rule extraction using formal concept analysis.
Inf. Sci., 2016
A systematic review of multi-label feature selection and a new method based on label construction.
Neurocomputing, 2016
Proceedings of the Artificial Intelligence Applications and Innovations, 2016
2015
J. Intell. Robotic Syst., 2015
Neurocomputing, 2015
Comparing published multi-label classifier performance measures to the ones obtained by a simple multi-label baseline classifier.
CoRR, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
FCA-Based Rule Generator, a framework for the genetic generation of fuzzy classification systems using formal concept analysis.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
2014
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014
Proceedings of the XL Latin American Computing Conference, 2014
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
2013
Proceedings of the Soft Computing: State of the Art Theory and Novel Applications, 2013
Proceedings of the XXXIX Latin American Computer Conference - Selected Papers, 2013
Proceedings of the Advances in Soft Computing and Its Applications, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
2012
Incorporating label dependency into the binary relevance framework for multi-label classification.
Expert Syst. Appl., 2012
A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach.
Proceedings of the XXXVIII Latin American Computer Conference - Selected Papers, 2012
Filter Approach Feature Selection Methods to Support Multi-label Learning Based on ReliefF and Information Gain.
Proceedings of the Advances in Artificial Intelligence - SBIA 2012, 2012
On the Estimation of Predictive Evaluation Measure Baselines for Multi-label Learning.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012
Proceedings of the FUZZ-IEEE 2012, 2012
2011
IEEE Trans. Knowl. Data Eng., 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
On the estimation of the number of fuzzy sets for fuzzy rule-based classification systems.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011
2010
Data base definition and feature selection for the genetic generation of fuzzy rule bases.
Evol. Syst., 2010
An Evaluation of Rule-Based Classification Models Induced by a Fuzzy Method and Two Classic Learning Algorithms.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
Proceedings of the Advances in Soft Computing, 2010
2009
Data mining with imbalanced class distributions: concepts and methods.
Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009
2008
Construction of an Attribute-Value Representation for Semi-structured Medical Findings Knowledge Extraction.
CLEI Electron. J., 2008
Proceedings of the Advances in Artificial Intelligence, 2008
A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System.
Proceedings of the Artificial Intelligence in Theory and Practice II, 2008
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Evolving Sets of Symbolic Classifiers into a Single Symbolic Classifier Using Genetic Algorithms.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
2006
Inteligencia Artif., 2006
A Comparison of Methods for Rule Subset Selection Applied to Associative Classification.
Inteligencia Artif., 2006
Proceedings of the Artificial Intelligence in Theory and Practice, 2006
A Fractal Dimension Based Filter Algorithm to Select Features for Supervised Learning.
Proceedings of the Advances in Artificial Intelligence, 2006
A Multi-Objective Evolutionary Algorithm to Build Knowledge Classification Rules with Specific Properties.
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006
2005
Multi-view Semi-supervised Learning: An Approach to Obtain Different Views from Text Datasets.
Proceedings of the Advances in Logic Based Intelligent Systems, 2005
Proceedings of the Advances in Logic Based Intelligent Systems, 2005
Proceedings of the Advances in Logic Based Intelligent Systems, 2005
Proceedings of the Advances in Intelligent Data Analysis VI, 2005
2004
A study of the behavior of several methods for balancing machine learning training data.
SIGKDD Explor., 2004
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004
Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets.
Proceedings of the Knowledge Exploration in Life Science Informatics, 2004
2003
Appl. Artif. Intell., 2003
Balancing Training Data for Automated Annotation of Keywords: a Case Study.
Proceedings of the II Brazilian Workshop on Bioinformatics, 2003
2002
Int. J. Comput. Intell. Appl., 2002
CLEI Electron. J., 2002
Splice Junction Recognition using Machine Learning Techniques.
Proceedings of the I Brazilian Workshop on Bioinformatics, 2002
The Influence of Noisy Patterns in the Performance of Learning Methods in the Splice Junction Recognition Problem.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Extracting Knowledge from Artificial Neural Networks: An Empirical Comparison of Trepan and Symbolic Learning Algorithms.
Proceedings of the MICAI 2002: Advances in Artificial Intelligence, 2002
A Study of K-Nearest Neighbour as an Imputation Method.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002
2001
Prolog & TXL: Um Estudo de Caso para Prototipação de Ferramentas de Apoio para o Teste Estrutural.
Proceedings of the 1st Ibero-American Symposium on Software Engineering and Knowledge Engineering (JIISIC'01), 2001
2000
Transforming a Regression Problem into a Classification Problem using Hybrid Discretization.
Computación y Sistemas, 2000
Indução Construtiva Guiada pelo Conhecimento: Um Estudo de Caso do Processamento de Sêmen Diagnóstico
Proceedings of the International Joint Conference, 2000
Um Sistema Computacional para Avaliação de Regras Induzidas por Algoritmos de Aprendizado de Máquina.
Proceedings of the International Joint Conference, 2000
An Environment for Rule Extraction and Evaluation from Databases.
Proceedings of the International Joint Conference, 2000
Proceedings of the MICAI 2000: Advances in Artificial Intelligence, 2000
1999
Comput. Chem., 1999
Proceedings of the International Joint Conference Neural Networks, 1999
1995
Constructing the Extensional Representation of an Intentional Domain Theory in Inductive Logic Programming.
Proceedings of the Advances in Artificial Intelligence, 1995