| Efficiency issues of evolutionary k-means MC Naldi, RJGB Campello, ER Hruschka, ACPLF Carvalho Applied Soft Computing 11 (2), 1938-1952, 2011 | 158 | 2011 |
| Cluster ensemble selection based on relative validity indexes MC Naldi, A Carvalho, RJGB Campello Data Mining and Knowledge Discovery 27, 259-289, 2013 | 91 | 2013 |
| Evolutionary k-means for distributed data sets MC Naldi, RJGB Campello Neurocomputing 127, 30-42, 2014 | 57 | 2014 |
| Hierarchical density-based clustering using MapReduce JA dos Santos, TI Syed, MC Naldi, RJGB Campello, J Sander IEEE Transactions on Big Data 7 (1), 102-114, 2019 | 48 | 2019 |
| Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images LF Rodrigues, MC Naldi, JF Mari Computers in biology and medicine 116, 103542, 2020 | 45 | 2020 |
| Comparison of distributed evolutionary k-means clustering algorithms MC Naldi, RJGB Campello Neurocomputing 163, 78-93, 2015 | 43 | 2015 |
| Improving k-means through distributed scalable metaheuristics GV Oliveira, FP Coutinho, RJGB Campello, MC Naldi Neurocomputing 246, 45-57, 2017 | 36 | 2017 |
| N-BEATS-RNN: deep learning for time series forecasting A Sbrana, ALD Rossi, MC Naldi 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 29 | 2020 |
| Combining semantic and term frequency similarities for text clustering VHA Soares, RJGB Campello, S Nourashrafeddin, E Milios, MC Naldi Knowledge and Information Systems 61, 1485-1516, 2019 | 29 | 2019 |
| Comparison among methods for k estimation in k-means MC Naldi, A Fontana, RJGB Campello 2009 Ninth International Conference on Intelligent Systems Design and …, 2009 | 29 | 2009 |
| Técnicas de combinação para agrupamento centralizado e distribuído de dados MC Naldi Universidade de São Paulo, 2011 | 27 | 2011 |
| Estudo e comparação de métodos para estimação de números de grupos em problemas de agrupamento de dados A Fontana, MC Naldi ICMC, 2009 | 25 | 2009 |
| Genetic clustering for data mining MC Naldi, AC de Carvalho, RJGB Campell, R Hruschka Soft computing for knowledge discovery and data mining, 113-132, 2008 | 23 | 2008 |
| Multiple parallel mapreduce k-means clustering with validation and selection KD Garcia, MC Naldi 2014 Brazilian Conference on Intelligent Systems, 432-437, 2014 | 19 | 2014 |
| Clustering using genetic algorithm combining validation criteria. MC Naldi, ACP de Leon Ferreira ESANN, 139-144, 2007 | 19 | 2007 |
| Fuzzy clustering algorithms and validity indices for distributed data L Vendramin, MC Naldi, RJGB Campello Partitional Clustering Algorithms, 147-192, 2015 | 17 | 2015 |
| Morphological analysis and classification of erythrocytes in microscopy images LF Rodrigues, MC Naldi, JF Mari Proceedings of the 2016 workshop de visão computacional, Campo Grande …, 2016 | 16 | 2016 |
| Exploiting Convolutional Neural Networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images LF Rodrigues, MC Naldi, JF Mari 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2017 | 14 | 2017 |
| Scalable fast evolutionary k-means clustering GV de Oliveira, MC Naldi 2015 Brazilian Conference on Intelligent Systems (BRACIS), 74-79, 2015 | 13 | 2015 |
| HEp-2 cell image classification based on convolutional neural networks LF Rodrigues, MC Naldi, JF Mari 2017 Workshop of Computer Vision (WVC), 13-18, 2017 | 12 | 2017 |
Ricardo J. G. B. CampelloFull Professor, Dept. of Mathematics and Computer Science, University of Southern DenmarkVerified email at imada.sdu.dk
