Selected list of publications.

A complete list of publications can be found on my Lattes CV

Journal

Prati, R. C; Batista, Gustavo E. A. P. A.; Monard, M.C. A Survey on Graphical Methods for Classification Predictive Performance Evaluation. IEEE Transactions on Knowledge and Data Engineering, 2011, to appear.
Batista, Gustavo E. A. P. A. ; PRATI, R. C. ; MONARD, Maria Carolina . A study of the behavior of several methods for balancing machine learning training data. SIGKDD Explorations, United States of America, v. 6, n. 1, p. 20, 2004.
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Conferences

PRATI, R. C.. Combining feature ranking algorithms through rank aggregation. Em: Internatinoal Joint Conference on Neural Networks, 2012, Brisbaine (Austrália). Anais do International Joint Conference on Neural Networks, 2012.
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PRATI, R. C. ; FLACH, Peter A . ROCCER: an Algorithm for Rule Learning Based on ROC Analysis. In: International Joint Conference on Artificial Intelligence (IJCAI 2005), 2005, Edimburgo. Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Denver (Colorado) : Professional Book Center, 2005. p. 823-828.
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PRATI, R. C. ; BATISTA, Gustavo Enrique Almeida Prado Alves ; MONARD, Maria Carolina . Class imbalance versus class overlaping: an analysis of a learning system behaviour.. In: Mexican Congress of artificial Intelligence, 2004, Cidade do México. MICAI 2004: Advances in Artificial Intelligence: Third Mexican International Conference on Artificial Intelligence. Berlin : Springer-Verlag, 2004. v. 2972. p. 312-321.
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Book Chapters

PRATI, R. C. . QROC A variation of ROC space to analyse item set costs/benefits in association rules. In: Yanchang Zhao; Chengqi Zhang; Longbing Cao. (Org.). Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction. Hershey, PA, USA: IGI Global, 2009, v. , p. 134-149.
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MATSUBARA, Edson Takashi ; MONARD, Maria Carolina ; PRATI, R. C. . Exploring Unclussified Texts using Multi-view Semi-supervised Learning. In: Hércules Antonio do Prado; Edilson Ferneda. (Org.). Emerging Techologies fof Text Mining: Techniques and Applications. : Information Science Reference, 2007, v. , p. 138-160.
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