Ricardo Araújo Rios

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 36

Top Venues

University of São Paulo, Brazil (PHD)

Education History

University of São Paulo, Brazil

PHD

Publications

Fernanda Silva Eustáquio, Ricardo Araújo Rios, Tatiane Nogueira Rios
A Cluster Validity Protocol to Evaluate Internal Indices for Clustering of High-Dimensional Datasets. FUZZ (2024)
Marcos V. Ferreira, Tatiane Nogueira Rios, Ricardo Araújo Rios
Fuzzifying Chaos in Dynamical Systems. FUZZ (2024)
Bruno Missi Xavier, Magnos Martinello, Celio Trois, Brenno de Mello Alencar, Ricardo Araújo Rios
Fast Learning Enabled by In-Network Drift Detection. APNet (2024)
Tatiane Nogueira Rios, Ricardo Araújo Rios, Rodrigo Fernandes de Mello
eXplainable Ensemble Strategy using distinct and restrict learning biases: A case study on the Brazilian Forest. Appl. Soft Comput. 134 (2023)
Marcos Vinicius Ferreira, Tatiane Nogueira Rios, Ricardo Araújo Rios, Tiago J. S. Lopes
A graph-based machine learning framework identifies critical properties of FVIII that lead to hemophilia A. Frontiers Bioinform. 3 (2023)
Marcos Vinicius Ferreira, Tiago J. S. Lopes, Ricardo Araújo Rios, Tatiane Nogueira Rios
Modeling Protein Activities and Mutations with Graph Neural Networks: Insights into Hemophilia. IJCNN (2023)
Brenno de Mello Alencar, João Paulo Canário, Ruivaldo Lobão-Neto, Cássio V. S. Prazeres, Abert Bifet, Ricardo Araújo Rios
Fog-DeepStream: A new approach combining LSTM and Concept Drift for data stream analytics on Fog computing. Internet Things 22 (2023)
João Paulo Canário, Ricardo Araújo Rios
Noise-Tolerant Self-Embedded LSTM for Seismic Event Classification. MLSP (2023)
João Paulo Canário, Otávio Ribeiro, Ricardo Araújo Rios
Explaining noise effects in CNN: a practical case study on volcano signals. SIBGRAPI (2022)
Ricardo Araújo Rios, Tatiane Nogueira Rios, Gabriel R. Palma, Rodrigo Fernandes de Mello
Brazilian Forest Dataset: A new dataset to model local biodiversity. J. Exp. Theor. Artif. Intell. 34 (2) (2022)
Ruivaldo Lobão-Neto, Adrien Brilhault, Sergio Neuenschwander, Ricardo Araújo Rios
Real-time identification of eye fixations and saccades using radial basis function networks and Markov chains. Pattern Recognit. Lett. 162 (2022)
João Paulo Canário, Marcos Vinicius Ferreira, Junot Freire, Matheus Carvalho, Ricardo Araújo Rios
A face detection ensemble to monitor the adoption of face masks inside the public transportation during the COVID-19 pandemic. Multim. Tools Appl. 81 (23) (2022)
Tiago J. S. Lopes, Tatiane M. Nogueira, Ricardo Araújo Rios
A Machine Learning Framework Predicts the Clinical Severity of Hemophilia B Caused by Point-Mutations. Frontiers Bioinform. 2 (2022)
Marcos Vinícius dos Santos Ferreira, Ricardo Araújo Rios, Tatiane Nogueira Rios
-FTS: Using soft clustering on Intrinsic Mode Functions to model Fuzzy Time Series. Softw. Impacts 11 (2022)
Marcos Vinícius dos Santos Ferreira, Ricardo Araújo Rios, Rodrigo Fernandes de Mello, Tatiane Nogueira Rios
Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series. Appl. Soft Comput. 113 (Part) (2021)
Marcos Vinícius dos Santos Ferreira, Ariel Almeida, João Paulo Canário, Matheus Souza, Tatiane M. Nogueira, Ricardo Araújo Rios
Ethics of AI: Do the Face Detection Models Act with Prejudice? BRACIS (2) (2021)
Adrien Brilhault, Sergio Neuenschwander, Ricardo Araújo Rios
A New Robust Multivariate Mode Estimator for Eye-tracking Calibration. CoRR (2021)
João C. B. Oliveira, Ricardo Araújo Rios, Eduardo Santana de Almeida, Cláudio Nogueira Sant'Anna, Tatiane Nogueira Rios
Fuzzy Software Analyzer (FSA): A New Approach for Interpreting Source Code Versioning Repositories. FUZZ-IEEE (2021)
Mirlei Moura Da Silva, Rodrigo Fernandes de Mello, Ricardo Araújo Rios
Time series clustering using stochastic and deterministic influences. Int. J. Comput. Sci. Eng. 21 (3) (2020)
Ricardo Araújo Rios, Tatiane Nogueira Rios, Rosemary Melo, Euler Santos de Santana, Técia Maria Santos Carneiro, Argemiro D. Oliveira Junior
Applying Concept Drift to Understand Hepatitis Evolution in Brazil. Cybern. Syst. 51 (6) (2020)
Jesse Read, Ricardo Araújo Rios, Tatiane Nogueira, Rodrigo Fernandes de Mello
Data Streams Are Time Series: Challenging Assumptions. BRACIS (2) (2020)
Brenno de Mello Alencar, Ricardo Araújo Rios, Cleber Jorge Lira de Santana, Cássio V. S. Prazeres
FoT-Stream: A Fog platform for data stream analytics in IoT. Comput. Commun. 164 (2020)
Victor M. G. dos Santos, Rodrigo Fernandes de Mello, Tatiane Nogueira, Ricardo Araújo Rios
Quantifying Temporal Novelty in Social Networks Using Time-Varying Graphs and Concept Drift Detection. BRACIS (2) (2020)
Marcos Ricardo Santos Oliveira, Ricardo Araújo Rios
Bidirectional Mean Distance Estimation: A New Gap filling Method. BRACIS (2019)
Felipe S. L. G. Duarte, Ricardo Araújo Rios, Eduardo R. Hruschka, Rodrigo Fernandes de Mello
Decomposing time series into deterministic and stochastic influences: A survey. Digit. Signal Process. 95 (2019)
Adrien Brilhault, Sergio Neuenschwander, Ricardo Araújo Rios
Using Clustering in Eye-Tracking Calibration Task. BRACIS (2019)
Felipe Simoes Lage Gomes Duarte, Ricardo Araújo Rios, Eduardo Raul Hruschka, Rodrigo Fernandes de Mello
Time Series Decomposition Using Spring System Applied on Phase Spaces. BRACIS (2018)
Millaray Curilem, João Paulo Canário, Luis Franco, Ricardo Araújo Rios
Using CNN To Classify Spectrograms of Seismic Events From Llaima Volcano (Chile). IJCNN (2018)
Ricardo Araújo Rios, Caio S. Lopes, Fabio H. G. Sikansi, Paulo A. Pagliosa, Rodrigo Fernandes de Mello
Analyzing the Public Opinion on the Brazilian Political and Corruption Issues. BRACIS (2017)
Rodrigo Fernandes de Mello, Ricardo Araújo Rios, Paulo A. Pagliosa, Renato Porfirio Ishii
Is Even Data Analysis Ready Today? Int. J. Unconv. Comput. 13 (3) (2017)
Ricardo Araújo Rios, Paulo A. Pagliosa, Renato Porfirio Ishii, Rodrigo Fernandes de Mello
TSViz: a data stream architecture to online collect, analyze, and visualize tweets. SAC (2017)
Leandro José Silva Andrade, Ricardo Araújo Rios, Tatiane M. Nogueira, Cássio V. S. Prazeres
Applying classification methods to model standby power consumption in the Internet of Things. ICNSC (2017)
Madson R. Araujo, Alex S. Santos, Tamise S. França, Stéfani S. Pires, Maycon L. M. Peixoto, Ricardo Araújo Rios, Gustavo B. Figueiredo
Alocação dinâmica de largura de banda com predição dos próximos GRANT em redes Long-Reach PON. SBRC (2017)
Ricardo Araújo Rios, Rodrigo Fernandes de Mello
Applying Empirical Mode Decomposition and mutual information to separate stochastic and deterministic influences embedded in signals. Signal Process. 118 (2016)
Fausto Guzzo da Costa, Ricardo Araújo Rios, Rodrigo Fernandes de Mello
Using dynamical systems tools to detect concept drift in data streams. Expert Syst. Appl. 60 (2016)
Ricardo Araújo Rios, Michael Small, Rodrigo Fernandes de Mello
Testing for Linear and Nonlinear Gaussian Processes in Nonstationary Time Series. Int. J. Bifurc. Chaos 25 (1) (2015)
Ricardo Araújo Rios, Rodrigo Fernandes de Mello
Improving time series modeling by decomposing and analyzing stochastic and deterministic influences. Signal Process. 93 (11) (2013)
Renato Porfirio Ishii, Ricardo Araújo Rios, Rodrigo Fernandes de Mello
Classification of time series generation processes using experimental tools: a survey and proposal of an automatic and systematic approach. Int. J. Comput. Sci. Eng. 6 (4) (2011)

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Publication Activity (10 Years)

Top Topics

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Ricardo Araújo Rios