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Rodrigo Fernandes de Mello
Rodrigo Fernandes de Mello
Mercado Libre
Email verificata su mercadolivre.com
Titolo
Citata da
Citata da
Anno
Machine learning: a practical approach on the statistical learning theory
RF Mello, MA Ponti
Springer, 2018
2152018
Persistent homology for time series and spatial data clustering
CMM Pereira, RF de Mello
Expert Systems with Applications 42 (15-16), 6026-6038, 2015
1462015
A Practical Approach on the Statistical Learning Theory
RF de Mello, MA Ponti
Springer, New York, USA, 2018
110*2018
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
822020
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
772019
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
602021
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
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
552016
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
532020
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
532018
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
522007
A survey on semi-supervised learning for delayed partially labelled data streams
HM Gomes, M Grzenda, R Mello, J Read, MH Le Nguyen, A Bifet
ACM Computing Surveys 55 (4), 1-42, 2022
512022
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
512006
Improving time series modeling by decomposing and analyzing stochastic and deterministic influences
RA Rios, RF De Mello
Signal Processing 93 (11), 3001-3013, 2013
472013
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
422018
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
352019
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
352016
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
342012
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
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
302014
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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