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 | 4513 | 2004 |
Learning from imbalanced data sets A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera Springer 10 (2018), 2018 | 1276 | 2018 |
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 | 479 | 2004 |
Class imbalance revisited: a new experimental setup to assess the performance of treatment methods RC Prati, GE Batista, DF Silva Knowledge and Information Systems 45, 247-270, 2015 | 215 | 2015 |
Evaluating classifiers using ROC curves RC Prati, G Batista, MC Monard Revista IEEE América Latina 6 (2), 215-222, 2008 | 154* | 2008 |
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 | 123 | 2011 |
Balancing strategies and class overlapping GE Batista, RC Prati, MC Monard International symposium on intelligent data analysis, 24-35, 2005 | 121 | 2005 |
Data mining with imbalanced class distributions: concepts and methods. RC Prati, GE Batista, MC Monard IICAI, 359-376, 2009 | 101 | 2009 |
Combining feature ranking algorithms through rank aggregation RC Prati The 2012 international joint conference on neural networks (IJCNN), 1-8, 2012 | 100 | 2012 |
Learning with class skews and small disjuncts RC Prati, GE Batista, MC Monard Advances in Artificial Intelligence–SBIA 2004: 17th Brazilian Symposium on …, 2004 | 97 | 2004 |
Machine learning prediction of nine molecular properties based on the SMILES representation of the QM9 quantum-chemistry dataset GA Pinheiro, J Mucelini, MD Soares, RC Prati, JLF Da Silva, MG Quiles The Journal of Physical Chemistry A 124 (47), 9854-9866, 2020 | 94 | 2020 |
Cost-sensitive learning A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera, ... Learning from imbalanced data sets, 63-78, 2018 | 94 | 2018 |
Advancing IoT-based smart irrigation R Togneri, C Kamienski, R Dantas, R Prati, A Toscano, JP Soininen, ... IEEE Internet of Things Magazine 2 (4), 20-25, 2019 | 63 | 2019 |
ROCCER: An Algorithm for Rule Learning Based on ROC Analysis. RC Prati, PA Flach Ijcai, 823-828, 2005 | 57 | 2005 |
Data reduction based on machine learning algorithms for fog computing in IoT smart agriculture FMR Junior, RAC Bianchi, RC Prati, K Kolehmainen, JP Soininen, ... Biosystems Engineering 223, 142-158, 2022 | 42 | 2022 |
The comprehension of figurative language: What is the influence of irony and sarcasm on NLP techniques? L Weitzel, RC Prati, RF Aguiar Sentiment Analysis and Ontology Engineering: An Environment of Computational …, 2016 | 40 | 2016 |
Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise RC Prati, J Luengo, F Herrera Knowledge and Information Systems 60, 63-97, 2019 | 38 | 2019 |
Pretext II: Descriçao da reestruturacao da ferramenta de pré-processamento de textos MVB Soares, RC Prati | 38 | 2008 |
Uma proposta de unificaçao da linguagem de representaçao de conceitos de algoritmos de aprendizado de máquina simbólicos RC Prati, JA Baranauskas, MC Monard | 36 | 2001 |
Extraçao de informaçoes padronizadas para a avaliaçao de regras induzidas por algoritmos de aprendizado de máquina simbólico RC Prati, JA Baranauskas, MC Monard | 34 | 2001 |