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
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
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
Learmng with skewed class distrihutions
MC Monard, GE Batista
Advances in Logic, Artificial Intelligence, and Robotics: LAPTEC 85 (2002), 173, 2002
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
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
Balancing strategies and class overlapping
GE Batista, RC Prati, MC Monard
International Symposium on Intelligent Data Analysis, 24-35, 2005
Curvas ROC para avaliação de classificadores
RC Prati, G Batista, MC Monard
Revista IEEE América Latina 6 (2), 215-222, 2008
ReliefF for multi-label feature selection
N Spolaôr, EA Cherman, MC Monard, HD Lee
2013 Brazilian Conference on Intelligent Systems, 6-11, 2013
Multi-label Problem Transformation Methods: a Case Study
EA Cherman, MC Monard, J Metz
CLEI Electronic Journal 14 (1), 4-4, 2011
Indução de regras e árvores de decisão
MC Monard, JA Baranauskas
Sistemas Inteligentes-Fundamentos e Aplicações 1, 115-139, 2003
Learning with class skews and small disjuncts
RC Prati, GE Batista, MC Monard
Brazilian Symposium on Artificial Intelligence, 296-306, 2004
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
Pretext: Uma ferramenta para pré-processamento de textos utilizando a abordagem bag-of-words
ET Matsubara, CA Martins, MC Monard
Techinical Report 209 (4), 2003
The use of fuzzy decision trees for coffee rust warning in Brazilian crops
ME Cintra, CAA Meira, MC Monard, HA Camargo, LHA Rodrigues
2011 11th International Conference on Intelligent Systems Design and …, 2011
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