Ricardo Araújo Rios
Orcid: 0000-0003-1449-4745
According to our database1,
Ricardo Araújo Rios
authored at least 37 papers
between 2011 and 2023.
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Bibliography
2023
Deep learning and multi-station classification of volcano-seismic events of the Nevados del Chillán volcanic complex (Chile).
Neural Comput. Appl., December, 2023
Fog-DeepStream: A new approach combining LSTM and Concept Drift for data stream analytics on Fog computing.
Internet Things, July, 2023
A graph-based machine learning framework identifies critical properties of FVIII that lead to hemophilia A.
Frontiers Bioinform., May, 2023
eXplainable Ensemble Strategy using distinct and restrict learning biases: A case study on the Brazilian Forest.
Appl. Soft Comput., February, 2023
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.
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.
Softw. Impacts, 2022
Real-time identification of eye fixations and saccades using radial basis function networks and Markov chains.
Pattern Recognit. Lett., 2022
A face detection ensemble to monitor the adoption of face masks inside the public transportation during the COVID-19 pandemic.
Multim. Tools Appl., 2022
J. Exp. Theor. Artif. Intell., 2022
A Machine Learning Framework Predicts the Clinical Severity of Hemophilia B Caused by Point-Mutations.
Frontiers Bioinform., 2022
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022
2021
Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series.
Appl. Soft Comput., 2021
Fuzzy Software Analyzer (FSA): A New Approach for Interpreting Source Code Versioning Repositories.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021
2020
Int. J. Comput. Sci. Eng., 2020
Cybern. Syst., 2020
Quantifying Temporal Novelty in Social Networks Using Time-Varying Graphs and Concept Drift Detection.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020
2019
Digit. Signal Process., 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
Alocação dinâmica de largura de banda com predição dos próximos GRANT em redes Long-Reach PON.
Proceedings of the XXXV Brazilian Symposium on Computer Networks and Distributed Systems, 2017
Proceedings of the Symposium on Applied Computing, 2017
Applying classification methods to model standby power consumption in the Internet of Things.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017
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.
Signal Process., 2016
Expert Syst. Appl., 2016
2015
Int. J. Bifurc. Chaos, 2015
2013
Modelagem de séries temporais por meio da decomposição e análise de influências estocásticas e determinísticas.
PhD thesis, 2013
Improving time series modeling by decomposing and analyzing stochastic and deterministic influences.
Signal Process., 2013
2011
Classification of time series generation processes using experimental tools: a survey and proposal of an automatic and systematic approach.
Int. J. Comput. Sci. Eng., 2011