| Clustering of interval data based on city–block distances RMCR de Souza, FAT De Carvalho Pattern Recognition Letters 25 (3), 353-365, 2004 | 273 | 2004 |
| Adaptive Hausdorff distances and dynamic clustering of symbolic interval data FAT De Carvalho, RMCR De Souza, M Chavent, Y Lechevallier Pattern Recognition Letters 27 (3), 167-179, 2006 | 248 | 2006 |
| Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization TM Silva Filho, BA Pimentel, RMCR Souza, ALI Oliveira Expert Systems with Applications 42 (17-18), 6315-6328, 2015 | 156 | 2015 |
| Interval symbolic feature extraction for thermography breast cancer detection MC Araújo, RCF Lima, RMCR De Souza Expert Systems with Applications 41 (15), 6728-6737, 2014 | 94 | 2014 |
| A robust method for linear regression of symbolic interval data MAO Domingues, RMCR de Souza, FJA Cysneiros Pattern Recognition Letters 31 (13), 1991-1996, 2010 | 71 | 2010 |
| Qualidade de vida, saúde e política pública de idosos no Brasil: uma reflexão teórica RM Moreira, CES Santos, ES Couto, JRB Teixeira, RMMM Souza Rev. Kairós, 27-38, 2013 | 66 | 2013 |
| A multivariate fuzzy c-means method BA Pimentel, RMCR De Souza Applied Soft Computing 13 (4), 1592-1607, 2013 | 64 | 2013 |
| Unsupervised pattern recognition models for mixed feature-type symbolic data FAT de Carvalho, RMCR de Souza Pattern Recognition Letters 31 (5), 430-443, 2010 | 60 | 2010 |
| A weighted multivariate Fuzzy C-Means method in interval-valued scientific production data BA Pimentel, RMCR de Souza Expert Systems with Applications 41 (7), 3223-3236, 2014 | 55 | 2014 |
| Robust regression with application to symbolic interval data RAA Fagundes, RMCR De Souza, FJA Cysneiros Engineering Applications of Artificial Intelligence 26 (1), 564-573, 2013 | 51 | 2013 |
| A parametrized approach for linear regression of interval data LC Souza, RMCR Souza, GJA Amaral, TM Silva Filho Knowledge-Based Systems 131, 149-159, 2017 | 46 | 2017 |
| Logistic regression-based pattern classifiers for symbolic interval data RMCR De Souza, DCF Queiroz, FJA Cysneiros Pattern Analysis and Applications 14, 273-282, 2011 | 45 | 2011 |
| Multivariate fuzzy c-means algorithms with weighting BA Pimentel, RMCR de Souza Neurocomputing 174, 946-965, 2016 | 41 | 2016 |
| Interval kernel regression RAA Fagundes, RMCR De Souza, FJA Cysneiros Neurocomputing 128, 371-388, 2014 | 39 | 2014 |
| Classifying metrics for assessing object-oriented software maintainability: A family of metrics’ catalogs J de AG Saraiva, MS De França, SCB Soares, JCL Fernando Filho, ... Journal of Systems and Software 103, 85-101, 2015 | 36 | 2015 |
| Texture classification based on co-occurrence matrix and self-organizing map CWD de Almeida, RMCR de Souza, ALB Candeias 2010 IEEE International Conference on Systems, Man and Cybernetics, 2487-2491, 2010 | 36 | 2010 |
| Statistical proximity functions of boolean symbolic objects based on histograms FAT de Carvalho, RMCR de Souza Advances in Data Science and Classification: Proceedings of the 6th …, 1998 | 35 | 1998 |
| Fuzzy Kohonen clustering networks for interval data CWD De Almeida, RMCR De Souza, ALB Candeias Neurocomputing 99, 65-75, 2013 | 33 | 2013 |
| New metrics for constrained boolean symbolic objects FAT De Carvalho, R Souza Proc. KESDA 98, 1998 | 29 | 1998 |
| Investigating agile practices in software startups R Souza, L Rocha, F Silva, I Machado Proceedings of the XXXIII Brazilian Symposium on Software Engineering, 317-321, 2019 | 28 | 2019 |
