Maria-Carolina Monard
Maria-Carolina Monard
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A study of the behavior of several methods for balancing machine learning training data
GE Batista, RC Prati, MC Monard
ACM SIGKDD explorations newsletter 6 (1), 20-29, 2004
An analysis of four missing data treatment methods for supervised learning
GE Batista, MC Monard
Applied artificial intelligence 17 (5-6), 519-533, 2003
Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior
RC Prati, GE Batista, MC Monard
Mexican international conference on artificial intelligence, 312-321, 2004
A study of k-nearest neighbour as an imputation method
G Batista, MC Monard
Soft Computing Systems: Design, Management and Applications, Santiago, Chile …, 2002
Conceitos sobre aprendizado de máquina
MC Monard, JA Baranauskas
Sistemas inteligentes-Fundamentos e aplicações 1 (1), 32, 2003
Balancing training data for automated annotation of keywords: a case study
G Batista, AL Bazan, MC Monard
Proceedings of the Second Brazilian Workshop on Bioinformatics, 35-43, 2003
A comparison of multi-label feature selection methods using the problem transformation approach
N Spolaôr, EA Cherman, MC Monard, HD Lee
Electronic Notes in Theoretical Computer Science 292, 135-151, 2013
ReliefF for multi-label feature selection
N Spolaôr, EA Cherman, MC Monard, HD Lee
2013 Brazilian Conference on Intelligent Systems, 6-11, 2013
Applying one-sided selection to unbalanced datasets
GE Batista, AC Carvalho, MC Monard
Mexican International Conference on Artificial Intelligence, 315-325, 2000
A survey on graphical methods for classification predictive performance evaluation
RC Prati, GE Batista, MC Monard
IEEE Transactions on Knowledge and Data Engineering 23 (11), 1601-1618, 2011
Learning with skewed class distributions
MC Monard, G Batista
Advances in Logic, Artificial Intelligence and Robotics 85, 173-180, 2002
Balancing strategies and class overlapping
GE Batista, RC Prati, MC Monard
International symposium on intelligent data analysis, 24-35, 2005
Incorporating label dependency into the binary relevance framework for multi-label classification
E Alvares-Cherman, J Metz, MC Monard
Expert Systems with Applications 39 (2), 1647-1655, 2012
Curvas ROC para avaliação de classificadores
RC Prati, G Batista, MC Monard
Revista IEEE América Latina 6 (2), 215-222, 2008
Multi-label Problem Transformation Methods: a Case Study
EA Cherman, MC Monard, J Metz
CLEI Electronic Journal 14 (1), 4-4, 2011
A systematic review of multi-label feature selection and a new method based on label construction
N Spolaôr, MC Monard, G Tsoumakas, HD Lee
Neurocomputing 180, 3-15, 2016
Learning with class skews and small disjuncts
RC Prati, GE Batista, MC Monard
Brazilian Symposium on Artificial Intelligence, 296-306, 2004
Indução de regras e árvores de decisão
MC Monard, JA Baranauskas
Sistemas Inteligentes-Fundamentos e Aplicações 1, 115-139, 2003
Data mining with imbalanced class distributions: concepts and methods
RC Prati, GE Batista, MC Monard
Pretext: Uma ferramenta para pré-processamento de textos utilizando a abordagem bag-of-words
ET Matsubara, CA Martins, MC Monard
Techinical Report 209 (4), 10-11, 2003
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