Rodrigo Fernandes de Mello
Rodrigo Fernandes de Mello
Itaú Unibanco SA
Zweryfikowany adres z itau-unibanco.com.br
Tytuł
Cytowane przez
Cytowane przez
Rok
Machine learning: a practical approach on the statistical learning theory
RF Mello, MA Ponti
Springer, 2018
139*2018
Persistent homology for time series and spatial data clustering
CMM Pereira, RF de Mello
Expert Systems with Applications 42 (15-16), 6026-6038, 2015
692015
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
582010
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
482007
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
442006
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
352019
Improving time series modeling by decomposing and analyzing stochastic and deterministic influences
RA Rios, RF De Mello
Signal Processing 93 (11), 3001-3013, 2013
342013
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
322006
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
302016
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
292018
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
282012
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
272015
An on-line approach for classifying and extracting application behavior on linux
LJ Senger, RF Mello, MJ Santana, RHC Santana
High performance computing: Paradigm and infrastructure, 381-401, 2005
272005
TS-stream: clustering time series on data streams
CMM Pereira, RF De Mello
Journal of Intelligent Information Systems 42 (3), 531-566, 2014
252014
Prediction of dynamical, nonlinear, and unstable process behavior
RF de Mello, LT Yang
The Journal of Supercomputing 49 (1), 22-41, 2009
252009
Automatic text classification using an artificial neural network
RF de Mello, LJ Senger, LT Yang
High Performance Computational Science and Engineering, 215-238, 2005
242005
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
222004
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
212011
Enhancing the sensor node localization algorithm based on improved DV-hop and DE algorithms in wireless sensor networks
D Han, Y Yu, KC Li, RF de Mello
Sensors 20 (2), 343, 2020
202020
Multi-Keyword ranked search based on mapping set matching in cloud ciphertext storage system
T Xiao, D Han, J He, KC Li, RF de Mello
Connection Science 33 (1), 95-112, 2021
192021
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