| 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 | 2489 | 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 | 784 | 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 | 350 | 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 | 266 | 2002 |
| Conceitos sobre aprendizado de máquina MC Monard, JA Baranauskas Sistemas inteligentes-Fundamentos e aplicações 1 (1), 32, 2003 | 192 | 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 | 173 | 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 | 147 | 2003 |
| Learmng with skewed class distrihutions MC Monard, GE Batista Advances in Logic, Artificial Intelligence, and Robotics: LAPTEC 85 (2002), 173, 2002 | 105 | 2002 |
| Applying one-sided selection to unbalanced datasets GE Batista, AC Carvalho, MC Monard Mexican International Conference on Artificial Intelligence, 315-325, 2000 | 97 | 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 | 93 | 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 | 82 | 2012 |
| Balancing strategies and class overlapping GE Batista, RC Prati, MC Monard International Symposium on Intelligent Data Analysis, 24-35, 2005 | 82 | 2005 |
| Curvas ROC para avaliação de classificadores RC Prati, G Batista, MC Monard Revista IEEE América Latina 6 (2), 215-222, 2008 | 79 | 2008 |
| ReliefF for multi-label feature selection N Spolaôr, EA Cherman, MC Monard, HD Lee 2013 Brazilian Conference on Intelligent Systems, 6-11, 2013 | 77 | 2013 |
| Multi-label Problem Transformation Methods: a Case Study EA Cherman, MC Monard, J Metz CLEI Electronic Journal 14 (1), 4-4, 2011 | 70 | 2011 |
| Indução de regras e árvores de decisão MC Monard, JA Baranauskas Sistemas Inteligentes-Fundamentos e Aplicações 1, 115-139, 2003 | 63 | 2003 |
| Learning with class skews and small disjuncts RC Prati, GE Batista, MC Monard Brazilian Symposium on Artificial Intelligence, 296-306, 2004 | 60 | 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 | 58 | 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 | 57 | 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 | 48 | 2011 |
