متابعة
Rodrigo Fernandes de Mello
Rodrigo Fernandes de Mello
Mercado Libre
بريد إلكتروني تم التحقق منه على mercadolivre.com
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Machine learning: a practical approach on the statistical learning theory‏
RF Mello, MA Ponti‏
Springer, 2018‏
2172018
Persistent homology for time series and spatial data clustering‏
CMM Pereira, RF de Mello‏
Expert Systems with Applications 42 (15-16), 6026-6038, 2015‏
1442015
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
782019
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
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
572020
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
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
532007
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
522022
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
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مقالات 1–20