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Ricardo Araújo Rios
Ricardo Araújo Rios
Institute of Computing, Federal University of Bahia (IC-UFBA)
Verified email at ufba.br
Title
Cited by
Cited by
Year
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
Using CNN to classify spectrograms of seismic events from Llaima Volcano (Chile)
M Curilem, JP Canário, L Franco, RA Rios
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
402018
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
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
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
FoT-Stream: A Fog platform for data stream analytics in IoT
BM Alencar, RA Rios, C Santana, C Prazeres
Computer Communications 164, 77-87, 2020
192020
Estimating determinism rates to detect patterns in geospatial datasets
RA Rios, L Parrott, H Lange, RF de Mello
Remote Sensing of Environment 156, 11-20, 2015
162015
Discriminating seismic events of the Llaima volcano (Chile) based on spectrogram cross-correlations
M Curilem, RF de Mello, F Huenupan, C San Martin, L Franco, ...
Journal of Volcanology and Geothermal Research 367, 63-78, 2018
152018
Data streams are time series: Challenging assumptions
J Read, RA Rios, T Nogueira, RF de Mello
Brazilian Conference on Intelligent Systems, 529-543, 2020
142020
Prediction of hemophilia A severity using a small-input machine-learning framework
TJS Lopes, R Rios, T Nogueira, RF Mello
NPJ systems biology and applications 7 (1), 22, 2021
132021
TSViz: a data stream architecture to online collect, analyze, and visualize tweets
RA Rios, PA Pagliosa, RP Ishii, RF de Mello
Proceedings of the Symposium on Applied Computing, 1031-1036, 2017
132017
Country transition index based on hierarchical clustering to predict next COVID-19 waves
RA Rios, T Nogueira, DB Coimbra, TJS Lopes, A Abraham, RF Mello
Scientific reports 11 (1), 15271, 2021
122021
Llaima volcano dataset: In-depth comparison of deep artificial neural network architectures on seismic events classification
JP Canário, RF de Mello, M Curilem, F Huenupan, RA Rios
Data in brief 30, 105627, 2020
112020
Concept drift detection on social network data using cross-recurrence quantification analysis
RF de Mello, RA Rios, PA Pagliosa, CS Lopes
Chaos: An Interdisciplinary Journal of Nonlinear Science 28 (8), 2018
92018
Testing for linear and nonlinear Gaussian processes in nonstationary time series
RA Rios, M Small, RF de Mello
International Journal of Bifurcation and Chaos 25 (01), 1550013, 2015
92015
A systematic literature review on decomposition approaches to estimate time series components
RA Rios, RF de Mello
INFOCOMP Journal of Computer Science 11 (3-4), 31-46, 2012
92012
Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII
TJS Lopes, R Rios, T Nogueira, RF Mello
Scientific reports 11 (1), 12625, 2021
82021
Time series clustering using stochastic and deterministic influences
MMD Silva, RFD Mello, RA Rios
International Journal of Computational Science and Engineering 21 (3), 394-417, 2020
82020
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