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Rodrigo Fernandes de Mello
Rodrigo Fernandes de Mello
Itaú Unibanco SA
Verified email at itau-unibanco.com.br
Title
Cited by
Cited by
Year
Statistical learning theory
RF de Mello, MA Ponti
Machine Learning, 75-128, 2018
269*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
1182015
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
662020
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
612019
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
592010
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
522006
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
512007
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
492021
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
452018
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
442016
Improving time series modeling by decomposing and analyzing stochastic and deterministic influences
RA Rios, RF De Mello
Signal Processing 93 (11), 3001-3013, 2013
432013
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
392018
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
322016
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
In-depth comparison of deep artificial neural network architectures on seismic events classification
JP Canario, R Mello, M Curilem, F Huenupan, R Rios
Journal of Volcanology and Geothermal Research 401, 106881, 2020
312020
Decomposing time series into deterministic and stochastic influences: A survey
FSLG Duarte, RA Rios, ER Hruschka, RF de Mello
Digital Signal Processing 95, 102582, 2019
302019
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
Automatic text classification using an artificial neural network
RF de Mello, LJ Senger, LT Yang
High Performance Computational Science and Engineering: IFIP TC5 Workshop on …, 2005
292005
TS-stream: clustering time series on data streams
CMM Pereira, RF De Mello
Journal of Intelligent Information Systems 42, 531-566, 2014
272014
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
262014
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