Ricardo Araújo Rios

According to our database, Ricardo Araújo Rios authored at least 41 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A new intelligent scheduler to improve reactive OpenFlow communication in SDN-based IoT data streams.

Ernando Batista, Brenno de Mello Alencar, Eliabe Silva, João Canário, Ricardo Araújo Rios, Schahram Dustdar, Gustavo B. Figueiredo, Cássio V. S. Prazeres

Discov. Internet Things, December, 2024

Fuzzifying Chaos in Dynamical Systems.

Marcos V. Ferreira, Tatiane Nogueira Rios, Ricardo Araújo Rios

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

A Cluster Validity Protocol to Evaluate Internal Indices for Clustering of High-Dimensional Datasets.

Fernanda Silva Eustáquio, Ricardo Araújo Rios, Tatiane Nogueira Rios

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

Fast Learning Enabled by In-Network Drift Detection.

Bruno Missi Xavier, Magnos Martinello, Celio Trois, Brenno de Mello Alencar, Ricardo Araújo Rios

Proceedings of the 8th Asia-Pacific Workshop on Networking, 2024

2023

Deep learning and multi-station classification of volcano-seismic events of the Nevados del Chillán volcanic complex (Chile).

Alejandro Ferreira, Millaray Curilem, Walter Gómez, Ricardo Araújo Rios

Neural Comput. Appl., December, 2023

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

Brenno de Mello Alencar, João Paulo Canário, Ruivaldo Lobão-Neto, Cássio V. S. Prazeres, Abert Bifet, Ricardo Araújo Rios

Internet Things, July, 2023

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

Marcos Vinicius Ferreira, Tatiane Nogueira Rios, Ricardo Araújo Rios, Tiago J. S. Lopes

Frontiers Bioinform., May, 2023

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

Tatiane Nogueira Rios, Ricardo Araújo Rios, Rodrigo Fernandes de Mello

Appl. Soft Comput., February, 2023

Noise-Tolerant Self-Embedded LSTM for Seismic Event Classification.

João Paulo Canário, Ricardo Araújo Rios

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

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

Marcos Vinicius Ferreira, Tiago J. S. Lopes, Ricardo Araújo Rios, Tatiane Nogueira Rios

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

<i>sci</i>-FTS: Using soft clustering on Intrinsic Mode Functions to model Fuzzy Time Series.

Marcos Vinícius dos Santos Ferreira, Ricardo Araújo Rios, Tatiane Nogueira Rios

Softw. Impacts, 2022

Real-time identification of eye fixations and saccades using radial basis function networks and Markov chains.

Ruivaldo Lobão-Neto, Adrien Brilhault, Sergio Neuenschwander, Ricardo Araújo Rios

Pattern Recognit. Lett., 2022

A face detection ensemble to monitor the adoption of face masks inside the public transportation during the COVID-19 pandemic.

João Paulo Canário, Marcos Vinicius Ferreira, Junot Freire, Matheus Carvalho, Ricardo Araújo Rios

Multim. Tools Appl., 2022

Brazilian Forest Dataset: A new dataset to model local biodiversity.

Ricardo Araújo Rios, Tatiane Nogueira Rios, Gabriel R. Palma, Rodrigo Fernandes de Mello

J. Exp. Theor. Artif. Intell., 2022

A Machine Learning Framework Predicts the Clinical Severity of Hemophilia B Caused by Point-Mutations.

Tiago J. S. Lopes, Tatiane M. Nogueira, Ricardo Araújo Rios

Frontiers Bioinform., 2022

Explaining noise effects in CNN: a practical case study on volcano signals.

João Paulo Canário, Otávio Ribeiro, Ricardo Araújo Rios

Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022

2021

A New Robust Multivariate Mode Estimator for Eye-tracking Calibration.

Adrien Brilhault, Sergio Neuenschwander, Ricardo Araújo Rios

CoRR, 2021

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

Marcos Vinícius dos Santos Ferreira, Ricardo Araújo Rios, Rodrigo Fernandes de Mello, Tatiane Nogueira Rios

Appl. Soft Comput., 2021

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

João C. B. Oliveira, Ricardo Araújo Rios, Eduardo Santana de Almeida, Cláudio Nogueira Sant'Anna, Tatiane Nogueira Rios

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Ethics of AI: Do the Face Detection Models Act with Prejudice?

Marcos Vinícius dos Santos Ferreira, Ariel Almeida, João Paulo Canário, Matheus Souza, Tatiane M. Nogueira, Ricardo Araújo Rios

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020

Time series clustering using stochastic and deterministic influences.

Mirlei Moura Da Silva, Rodrigo Fernandes de Mello, Ricardo Araújo Rios

Int. J. Comput. Sci. Eng., 2020

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

Brenno de Mello Alencar, Ricardo Araújo Rios, Cleber Jorge Lira de Santana, Cássio V. S. Prazeres

Comput. Commun., 2020

Applying Concept Drift to Understand Hepatitis Evolution in Brazil.

Ricardo Araújo Rios, Tatiane Nogueira Rios, Rosemary Melo, Euler Santos de Santana, Técia Maria Santos Carneiro, Argemiro D. Oliveira Junior

Cybern. Syst., 2020

Quantifying Temporal Novelty in Social Networks Using Time-Varying Graphs and Concept Drift Detection.

Victor M. G. dos Santos, Rodrigo Fernandes de Mello, Tatiane Nogueira, Ricardo Araújo Rios

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

Data Streams Are Time Series: Challenging Assumptions.

Jesse Read, Ricardo Araújo Rios, Tatiane Nogueira, Rodrigo Fernandes de Mello

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

Decomposing time series into deterministic and stochastic influences: A survey.

Felipe S. L. G. Duarte, Ricardo Araújo Rios, Eduardo R. Hruschka, Rodrigo Fernandes de Mello

Digit. Signal Process., 2019

Bidirectional Mean Distance Estimation: A New Gap filling Method.

Marcos Ricardo Santos Oliveira, Ricardo Araújo Rios

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Using Clustering in Eye-Tracking Calibration Task.

Adrien Brilhault, Sergio Neuenschwander, Ricardo Araújo Rios

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

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

Millaray Curilem, João Paulo Canário, Luis Franco, Ricardo Araújo Rios

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Time Series Decomposition Using Spring System Applied on Phase Spaces.

Felipe Simoes Lage Gomes Duarte, Ricardo Araújo Rios, Eduardo Raul Hruschka, Rodrigo Fernandes de Mello

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

Is Even Data Analysis Ready Today?

Rodrigo Fernandes de Mello, Ricardo Araújo Rios, Paulo A. Pagliosa, Renato Porfirio Ishii

Int. J. Unconv. Comput., 2017

Alocação dinâmica de largura de banda com predição dos próximos GRANT em redes Long-Reach PON.

Madson R. Araujo, Alex S. Santos, Tamise S. França, Stéfani S. Pires, Maycon L. M. Peixoto, Ricardo Araújo Rios, Gustavo B. Figueiredo

Proceedings of the XXXV Brazilian Symposium on Computer Networks and Distributed Systems, 2017

TSViz: a data stream architecture to online collect, analyze, and visualize tweets.

Ricardo Araújo Rios, Paulo A. Pagliosa, Renato Porfirio Ishii, Rodrigo Fernandes de Mello

Proceedings of the Symposium on Applied Computing, 2017

Applying classification methods to model standby power consumption in the Internet of Things.

Leandro José Silva Andrade, Ricardo Araújo Rios, Tatiane M. Nogueira, Cássio V. S. Prazeres

Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017

Analyzing the Public Opinion on the Brazilian Political and Corruption Issues.

Ricardo Araújo Rios, Caio S. Lopes, Fabio H. G. Sikansi, Paulo A. Pagliosa, Rodrigo Fernandes de Mello

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016

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

Ricardo Araújo Rios, Rodrigo Fernandes de Mello

Signal Process., 2016

Using dynamical systems tools to detect concept drift in data streams.

Fausto Guzzo da Costa, Ricardo Araújo Rios, Rodrigo Fernandes de Mello

Expert Syst. Appl., 2016

2015

Testing for Linear and Nonlinear Gaussian Processes in Nonstationary Time Series.

Ricardo Araújo Rios, Michael Small, Rodrigo Fernandes de Mello

Int. J. Bifurc. Chaos, 2015

2013

Modelagem de séries temporais por meio da decomposição e análise de influências estocásticas e determinísticas.

Ricardo Araújo Rios

PhD thesis, 2013

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

Ricardo Araújo Rios, Rodrigo Fernandes de Mello

Signal Process., 2013

2011

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

Renato Porfirio Ishii, Ricardo Araújo Rios, Rodrigo Fernandes de Mello

Int. J. Comput. Sci. Eng., 2011