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Rodrigo Fernandes de Mello
Rodrigo Fernandes de Mello
Itaú Unibanco SA
Zweryfikowany adres z itau-unibanco.com.br
Tytuł
Cytowane przez
Cytowane przez
Rok
Statistical Learning Theory
RF de Mello, MA Ponti
Rodrigo Fernandes de Mello, 75, 2018
199*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
872015
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
602010
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
492007
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
492006
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
452019
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
412021
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
412020
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
412016
Improving time series modeling by decomposing and analyzing stochastic and deterministic influences
RA Rios, RF De Mello
Signal Processing 93 (11), 3001-3013, 2013
402013
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
332018
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
332006
Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos?
TS Nazare, RF de Mello, MA Ponti
arXiv preprint arXiv:1811.08495, 2018
322018
Using dynamical systems tools to detect concept drift in data streams
FG da Costa, RA Rios, RF de Mello
Expert Systems with Applications 60, 39-50, 2016
302016
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
302012
An On‐Line Approach for Classifying and Extracting Application Behavior on Linux
LJ Senger, R Fernandes de Mello, MJ Santana, R Helena, C 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
262014
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 Mello, LJ Senger, LT Yang
High Performance Computational Science and Engineering, 215-238, 2005
242005
Proposal of a new stability concept to detect changes in unsupervised data streams
RMM Vallim, RF De Mello
Expert systems with applications 41 (16), 7350-7360, 2014
232014
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