| Machine learning: a practical approach on the statistical learning theory RF Mello, MA Ponti Springer, 2018 | 72 | 2018 |
| A novel approach for distributed application scheduling based on prediction of communication events E Dodonov, RF De Mello Future Generation Computer Systems 26 (5), 740-752, 2010 | 58 | 2010 |
| Persistent homology for time series and spatial data clustering CMM Pereira, RF de Mello Expert Systems with Applications 42 (15-16), 6026-6038, 2015 | 57 | 2015 |
| A routing load balancing policy for grid computing environments RF de Mello, LJ Senger, LT Yang 20th International Conference on Advanced Information Networking and …, 2006 | 44 | 2006 |
| A self-organizing neural network for detecting novelties MK Albertini, RF de Mello Proceedings of the 2007 ACM symposium on Applied computing, 462-466, 2007 | 43 | 2007 |
| A technique to reduce the test case suites for regression testing based on a self-organizing neural network architecture ADS Simao, RF De Mello, LJ Senger 30th Annual International Computer Software and Applications Conference …, 2006 | 32 | 2006 |
| Improving time series modeling by decomposing and analyzing stochastic and deterministic influences RA Rios, RF De Mello Signal Processing 93 (11), 3001-3013, 2013 | 29 | 2013 |
| An On-Line Data Access Prediction and Optimization Approach for Distributed Systems R Ishii, R Fernandes de Mello Parallel and Distributed Systems, IEEE Transactions on 23 (6), 1017-1029, 2012 | 28 | 2012 |
| An on-line approach for classifying and extracting application behavior on linux L Senger, RF Mello, MJ Santana, RHC Santana High performance computing: Paradigm and infrastructure, 381-401, 2006 | 27 | 2006 |
| Designing architectures of convolutional neural networks to solve practical problems MD Ferreira, DC Corrêa, LG Nonato, RF de Mello Expert Systems with Applications 94, 205-217, 2018 | 26 | 2018 |
| On learning guarantees to unsupervised concept drift detection on data streams RF de Mello, Y Vaz, CH Grossi, A Bifet Expert Systems with Applications 117, 90-102, 2019 | 24 | 2019 |
| Prediction of dynamical, nonlinear, and unstable process behavior RF de Mello, LT Yang The Journal of Supercomputing 49 (1), 22-41, 2009 | 24 | 2009 |
| Concentric radviz: Visual exploration of multi-task classification JHP Ono, F Sikansi, DC Corrêa, FV Paulovich, A Paiva, LG Nonato 2015 28th SIBGRAPI Conference on Graphics, Patterns and Images, 165-172, 2015 | 23 | 2015 |
| TS-stream: clustering time series on data streams CMM Pereira, RF De Mello Journal of Intelligent Information Systems 42 (3), 531-566, 2014 | 23 | 2014 |
| Automatic text classification using an artificial neural network RF de Mello, LJ Senger, LT Yang High Performance Computational Science and Engineering, 215-238, 2005 | 22 | 2005 |
| A new migration model based on the evaluation of processes load and lifetime on heterogeneous computing environments RF De Mello, LJ Senger 16th Symposium on Computer Architecture and High Performance Computing, 222-227, 2004 | 22 | 2004 |
| Applying empirical mode decomposition and mutual information to separate stochastic and deterministic influences embedded in signals RA Rios, RF de Mello Signal Processing 118, 159-176, 2016 | 21 | 2016 |
| Classification of time series generation processes using experimental tools: a survey and proposal of an automatic and systematic approach RP Ishii, RA Rios, RF Mello International Journal of Computational Science and Engineering 6 (4), 217-237, 2011 | 20 | 2011 |
| Multi-dimensional dynamic time warping for image texture similarity RF de Mello, I Gondra Brazilian Symposium on Artificial Intelligence, 23-32, 2008 | 19 | 2008 |
| Model for simulation of heterogeneous high-performance computing environments RF de Mello, LJ Senger International Conference on High Performance Computing for Computational …, 2006 | 18 | 2006 |
Luciano Jose SengerUniversidade Estadual de Ponta GrossaVerified email at uepg.br
