| 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 | 4938 | 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 | 1188 | 2003 |
| A study of k-nearest neighbour as an imputation method G Batista, MC Monard Soft Computing Systems: Design, Management and Applications, Santiago, Chile …, 2002 | 610 | 2002 |
| 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 | 565 | 2003 |
| Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior RC Prati, GE Batista, MC Monard MICAI 2004: Advances in Artificial Intelligence: Third Mexican International …, 2004 | 499 | 2004 |
| Conceitos sobre aprendizado de máquina MC Monard, JA Baranauskas Sistemas inteligentes-Fundamentos e aplicações 1 (1), 32, 2003 | 405 | 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 | 306 | 2013 |
| ReliefF for multi-label feature selection N Spolaôr, EA Cherman, MC Monard, HD Lee 2013 Brazilian Conference on Intelligent Systems, 6-11, 2013 | 217 | 2013 |
| Multi-label Problem Transformation Methods: a Case Study EA Cherman, MC Monard, J Metz CLEI Electronic Journal 14 (1), 4-4, 2011 | 133 | 2011 |
| Learning with skewed class distributions MC Monard, G Batista Advances in Logic, Artificial Intelligence and Robotics 85, 173-180, 2002 | 131 | 2002 |
| 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 | 126 | 2011 |
| Pré-processamento de dados em aprendizado de máquina supervisionado GEAPA Batista, MC Monard | 126 | 2003 |
| Applying one-sided selection to unbalanced datasets GE Batista, AC Carvalho, MC Monard Mexican International Conference on Artificial Intelligence, 315-325, 2000 | 125 | 2000 |
| Balancing strategies and class overlapping GE Batista, RC Prati, MC Monard International symposium on intelligent data analysis, 24-35, 2005 | 123 | 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 | 117 | 2012 |
| Curvas ROC para avaliação de classificadores RC Prati, G Batista, MC Monard Revista IEEE América Latina 6 (2), 215-222, 2008 | 116 | 2008 |
| Data mining with imbalanced class distributions: concepts and methods RC Prati, GE Batista, MC Monard | 111* | |
| 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 | 107 | 2016 |
| Learning with class skews and small disjuncts RC Prati, GE Batista, MC Monard Advances in Artificial Intelligence–SBIA 2004: 17th Brazilian Symposium on …, 2004 | 102 | 2004 |
| Indução de regras e árvores de decisão MC Monard, JA Baranauskas Sistemas Inteligentes. Rezende, SO Editora Manole Ltda, 115-140, 2003 | 97 | 2003 |
