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)

Improving time series modeling by decomposing and analyzing stochastic and deterministic influences. - Ricardo Araújo Rios; Rodrigo Fernandes de Mello (Signal Process., 2013)

Modelagem de séries temporais por meio da decomposição e análise de influências estocásticas e determinísticas. - Ricardo Araújo Rios (2013)

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)

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)

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)

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 (BRACIS, 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 (ICNSC, 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 (SAC, 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 (SBRC, 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)

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 (BRACIS, 2018)

Using CNN To Classify Spectrograms of Seismic Events From Llaima Volcano (Chile). - Millaray Curilem; João Paulo Canário; Luis Franco; Ricardo Araújo Rios (IJCNN, 2018)

Using Clustering in Eye-Tracking Calibration Task. - Adrien Brilhault; Sergio Neuenschwander; Ricardo Araújo Rios (BRACIS, 2019)

Bidirectional Mean Distance Estimation: A New Gap filling Method. - Marcos Ricardo Santos Oliveira; Ricardo Araújo Rios (BRACIS, 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)

Data Streams Are Time Series: Challenging Assumptions. - Jesse Read; Ricardo Araújo Rios; Tatiane Nogueira 001; Rodrigo Fernandes de Mello (BRACIS (2), 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 001; Ricardo Araújo Rios (BRACIS (2), 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)

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)

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)

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 (BRACIS (2), 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 (FUZZ-IEEE, 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)

A New Robust Multivariate Mode Estimator for Eye-tracking Calibration. - Adrien Brilhault; Sergio Neuenschwander; Ricardo Araújo Rios (CoRR, 2021)

Explaining noise effects in CNN: a practical case study on volcano signals. - João Paulo Canário; Otávio Ribeiro; Ricardo Araújo Rios (SIBGRAPI, 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)

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 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)

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)

sci-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)

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 (IJCNN, 2023)

Noise-Tolerant Self-Embedded LSTM for Seismic Event Classification. - João Paulo Canário; Ricardo Araújo Rios (MLSP, 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., 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., 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, 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., 2023)

Fast Learning Enabled by In-Network Drift Detection. - Bruno Missi Xavier; Magnos Martinello; Celio Trois; Brenno de Mello Alencar; Ricardo Araújo Rios (APNet, 2024)

A Cluster Validity Protocol to Evaluate Internal Indices for Clustering of High-Dimensional Datasets. - Fernanda Silva Eustáquio; Ricardo Araújo Rios; Tatiane Nogueira Rios (FUZZ, 2024)

Fuzzifying Chaos in Dynamical Systems. - Marcos Vinicius Ferreira; Tatiane Nogueira Rios; Ricardo Araújo Rios (FUZZ, 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, 2024)

Integrating wavelet transformation for end-to-end direct signal classification. - Otávio V. Ribeiro-Filho; Moacir A. Ponti; Millaray Curilem; Ricardo Araújo Rios (Digit. Signal Process., 2025)