Ronaldo Cristiano Prati - researchr alias

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Viewing Publication 1 - 13 from 13

2021

Naive Importance Weighting for Data Stream with Intermediate LatencyPedro Henrique Parreira, Ronaldo Cristiano Prati. ssci 2021: 1-7 [doi]

2019

Predicting the ideological orientation during the Spanish 24M elections in Twitter using machine learningRonaldo Cristiano Prati, Elias Said-Hung. ais, 34(3):589-598, 2019. [doi]

2018

PolyWaTT: A polynomial water travel time estimator based on Derivative Dynamic Time Warping and Perceptually Important PointsYuri Navarro Claure, Edson Takashi Matsubara, Carlos Padovani, Ronaldo Cristiano Prati. gandc, 112:54-63, 2018. [doi]

Improving kNN classification under Unbalanced Data. A New Geometric Oversampling ApproachAlexandre Miguel de Carvalho, Ronaldo Cristiano Prati. ijcnn 2018: 1-6 [doi]

2016

An Analysis of Novelty Dynamics in News Media CoverageRonaldo Cristiano Prati, Walter Teixeira Lima Junior. ecir 2016: 9-14 [doi]

The Comprehension of Figurative Language: What Is the Influence of Irony and Sarcasm on NLP Techniques?Leila Weitzel, Ronaldo Cristiano Prati, Raul Freire Aguiar. In Witold Pedrycz, Shyi-Ming Chen, editors, Sentiment Analysis and Ontology Engineering - An Environment of Computational Intelligence. Volume 639 of Studies in Computational Intelligence, pages 49-74, Springer, 2016. [doi]

2015

Setting Parameters for Support Vector Machines using Transfer LearningGabriela Oliveira Biondi, Ronaldo Cristiano Prati. jirs, 80(Supplement-1):295-311, 2015. [doi]

2014

Mining DEOPS Records: Big Data's Insights into DictatorshipDaniel de Moraes Navarro, Ronaldo Cristiano Prati. eScience 2014: 67-70 [doi]

2012

An Experimental Design to Evaluate Class Imbalance Treatment MethodsGustavo Enrique De Almeida Prado Alves Batista, Diego Furtado Silva, Ronaldo Cristiano Prati. icmla 2012: 95-101 [doi]

2008

Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge RulesRafael Giusti, Gustavo E. A. P. A. Batista, Ronaldo Cristiano Prati. his 2008: 537-542 [doi]

2006

A Comparison of Methods for Rule Subset Selection Applied to Associative ClassificationGustavo E. A. P. A. Batista, Claudia Regina Milaré, Ronaldo Cristiano Prati, Maria Carolina Monard. aepia, 10(32):29-35, 2006. [doi]

A Simple Evaluation Model for Feature Subset Selection AlgorithmsHuei Diana Lee, Maria Carolina Monard, Richardson Floriani Voltolini, Ronaldo Cristiano Prati, Feng Chung Wu. aepia, 10(32):9-17, 2006. [doi]

New approaches in machine learning for rule generation, class imbalance and rankingsRonaldo Cristiano Prati. PhD thesis, University of São Paulo, Brazil, 2006. [doi]

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