Ricardo Araújo Rios
Ricardo Araújo Rios
Institute of Computing, Federal University of Bahia (IC-UFBA)
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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
Improving time series modeling by decomposing and analyzing stochastic and deterministic influences
RA Rios, RF De Mello
Signal Processing 93 (11), 3001-3013, 2013
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
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
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
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
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
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
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
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
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
Data streams are time series: Challenging assumptions
J Read, RA Rios, T Nogueira, RF de Mello
Brazilian Conference on Intelligent Systems, 529-543, 2020
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
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
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
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
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
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
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
Temporal gap statistic: A new internal index to validate time series clustering
RG Ribeiro, R Rios
Chaos, Solitons & Fractals 142, 110326, 2021
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