Ricardo Rios

发表

In-depth comparison of deep artificial neural network architectures on seismic events classification

R. Mello, J. Canário, Millaray Curilem, 2020 .

Country transition index based on hierarchical clustering to predict next COVID-19 waves

Ajith Abraham, Ricardo Rios, R. Mello, 2021, Scientific Reports.

A nonparametric approach using clustering analysis to estimate shaliness in shaly-sand formations

Ricardo Araújo Rios, Alexsandro Guerra Cerqueira, Olivar A. L. de Lima, 2019, Journal of Applied Geophysics.

Temporal gap statistic: A new internal index to validate time series clustering

Ricardo Araújo Rios, Rosana Guimarães Ribeiro, Ricardo Rios, 2020 .

Time Series Decomposition Using Spring System Applied on Phase Spaces

Rodrigo Fernandes de Mello, Eduardo R. Hruschka, Ricardo Araújo Rios, 2018, BRACIS.

Concept drift detection on social network data using cross-recurrence quantification analysis.

Caio S. Lopes, Rodrigo F de Mello, Ricardo A Rios, 2018, Chaos.

Using dynamical systems tools to detect concept drift in data streams

Rodrigo Fernandes de Mello, Ricardo Araújo Rios, Fausto Guzzo da Costa, 2016, Expert Syst. Appl..

Improving time series modeling by decomposing and analyzing stochastic and deterministic influences

Rodrigo Fernandes de Mello, Ricardo Araújo Rios, R. Mello, 2013, Signal Process..

Classification of time series generation processes using experimental tools: a survey and proposal of an automatic and systematic approach

Rodrigo Fernandes de Mello, Ricardo Araújo Rios, Renato Porfirio Ishii, 2011, Int. J. Comput. Sci. Eng..

A new robust multivariate mode estimator for eye-tracking calibration pdf

Adrien Brilhault, Sergio Neuenschwander, Ricardo Araujo Rios, 2021, Behavior Research Methods.

Applying Concept Drift to Understand Hepatitis Evolution in Brazil

Tatiane Nogueira Rios, Ricardo Araújo Rios, Rosemary Melo, 2020, Cybern. Syst..

eXplainable Ensemble Strategy using distinct and restrict learning biases: A case study on the Brazilian Forest

Ricardo Rios, R. Mello, T. N. Rios, 2022, Appl. Soft Comput..

FoT-Stream: A Fog platform for data stream analytics in IoT

Brenno de Mello Alencar, Cássio V. S. Prazeres, Ricardo Araújo Rios, 2020, Comput. Commun..

Estimating determinism rates to detect patterns in geospatial datasets

Holger Lange, Rodrigo Fernandes de Mello, Lael Parrott, 2015 .

Bidirectional Mean Distance Estimation: A New Gap filling Method

Ricardo Araújo Rios, Marcos Ricardo Santos Oliveira, Marcos Santos de Oliveira, 2019, BRACIS.

Data Streams Are Time Series: Challenging Assumptions

Rodrigo Fernandes de Mello, Jesse Read, Tatiane Nogueira, 2020, BRACIS.

Fog-DeepStream: A new approach combining LSTM and Concept Drift for data stream analytics on Fog computing

Cássio V. S. Prazeres, João Paulo Canário, Ricardo Rios, 2023, Internet Things.

Applying Empirical Mode Decomposition and mutual information to separate stochastic and deterministic influences embedded in signals

Rodrigo Fernandes de Mello, Ricardo Araújo Rios, R. Mello, 2016, Signal Process..

Brazilian Forest Dataset: A new dataset to model local biodiversity

Ricardo A. Rios, Tatiane N. Rios, Gabriel R. Palma, 2021, J. Exp. Theor. Artif. Intell..

Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series

Tatiane Nogueira Rios, Ricardo Araújo Rios, Marcos Vinícius dos Santos Ferreira, 2021, Appl. Soft Comput..

Decomposing time series into deterministic and stochastic influences: A survey

Rodrigo Fernandes de Mello, Eduardo R. Hruschka, Ricardo Araújo Rios, 2019, Digit. Signal Process..

Computational analyses reveal fundamental properties of the AT structure related to thrombosis

Ricardo Rios, Tiago J. S. Lopes, E. Morishita, 2022, Bioinformatics advances.

Discriminating seismic events of the Llaima volcano (Chile) based on spectrogram cross-correlations

Rodrigo Fernandes de Mello, Millaray Curilem, Fernando Huenupan, 2018, Journal of Volcanology and Geothermal Research.

Using CNN To Classify Spectrograms of Seismic Events From Llaima Volcano (Chile)

Millaray Curilem, Luis Franco, João Paulo Canário, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Modeling Protein Activities and Mutations with Graph Neural Networks: Insights into Hemophilia

Ricardo Rios, Tiago J. S. Lopes, T. N. Rios, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Full-scale network analysis reveals properties of the FV protein structure organization

Ricardo Rios, Tiago J. S. Lopes, A. J. Ferreira-Martins, 2023, Scientific reports.

A graph-based machine learning framework identifies critical properties of FVIII that lead to hemophilia A

Ricardo Rios, Tiago J. S. Lopes, Tatiane Nogueira, 2023, Frontiers in Bioinformatics.

Testing for Linear and Nonlinear Gaussian Processes in Nonstationary Time Series

Michael Small, Rodrigo Fernandes de Mello, Ricardo Araújo Rios, 2015, Int. J. Bifurc. Chaos.

Fuzzy Software Analyzer (FSA): A New Approach for Interpreting Source Code Versioning Repositories

E. Almeida, Ricardo Rios, C. Sant'Anna, 2021, 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Systematic Literature Review on Decomposition Approaches to Estimate Time Series Components

Rodrigo Fernandes de Mello, Ricardo Araújo Rios, R. Mello, 2012 .

AN EMPIRICAL APPROACH USING SPECTRAL AND RECURRENCE ANALYSIS TO ESTIMATE TIME SERIES STOCHASTIC AND DETERMINISTIC COMPONENTS

Rodrigo Fernandes de Mello, Ricardo Araújo Rios, R. Mello, 2011 .

Llaima volcano dataset: In-depth comparison of deep artificial neural network architectures on seismic events classification

Rodrigo Fernandes de Mello, Millaray Curilem, Fernando Huenupan, 2020, Data in brief.