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Ricardo Araújo Rios
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2020 – today
- 2024
- [j21]Ernando Batista, Brenno de Mello Alencar, Eliabe Silva, João Canário, Ricardo Araújo Rios, Schahram Dustdar, Gustavo B. Figueiredo, Cássio V. S. Prazeres:
A new intelligent scheduler to improve reactive OpenFlow communication in SDN-based IoT data streams. Discov. Internet Things 4(1): 15 (2024) - [c18]Bruno Missi Xavier, Magnos Martinello, Celio Trois, Brenno de Mello Alencar, Ricardo Araújo Rios:
Fast Learning Enabled by In-Network Drift Detection. APNet 2024: 129-134 - [c17]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: 1-8 - [c16]Marcos V. Ferreira, Tatiane Nogueira Rios, Ricardo Araújo Rios:
Fuzzifying Chaos in Dynamical Systems. FUZZ 2024: 1-8 - 2023
- [j20]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: 109976 (2023) - [j19]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) - [j18]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: 100731 (2023) - [j17]Alejandro Ferreira, Millaray Curilem, Walter Gómez, Ricardo Araújo Rios:
Deep learning and multi-station classification of volcano-seismic events of the Nevados del Chillán volcanic complex (Chile). Neural Comput. Appl. 35(35): 24859-24876 (2023) - [c15]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: 1-8 - [c14]João Paulo Canário, Ricardo Araújo Rios:
Noise-Tolerant Self-Embedded LSTM for Seismic Event Classification. MLSP 2023: 1-6 - 2022
- [j16]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) - [j15]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): 327-354 (2022) - [j14]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): 33689-33714 (2022) - [j13]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: 63-70 (2022) - [j12]Marcos Vinícius dos Santos Ferreira, Ricardo Araújo Rios, Tatiane Nogueira Rios:
sci-FTS: Using soft clustering on Intrinsic Mode Functions to model Fuzzy Time Series. Softw. Impacts 11: 100230 (2022) - [c13]João Paulo Canário, Otávio Ribeiro, Ricardo Araújo Rios:
Explaining noise effects in CNN: a practical case study on volcano signals. SIBGRAPI 2022: 49-54 - [e2]João Carlos Xavier Junior, Ricardo Araújo Rios:
Intelligent Systems - 11th Brazilian Conference, BRACIS 2022, Campinas, Brazil, November 28 - December 1, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13653, Springer 2022, ISBN 978-3-031-21685-5 [contents] - [e1]João Carlos Xavier Junior, Ricardo Araújo Rios:
Intelligent Systems - 11th Brazilian Conference, BRACIS 2022, Campinas, Brazil, November 28 - December 1, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13654, Springer 2022, ISBN 978-3-031-21688-6 [contents] - 2021
- [j11]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): 108011 (2021) - [c12]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: 89-103 - [c11]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: 1-6 - [i1]Adrien Brilhault, Sergio Neuenschwander, Ricardo Araújo Rios:
A New Robust Multivariate Mode Estimator for Eye-tracking Calibration. CoRR abs/2107.08030 (2021) - 2020
- [j10]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): 631-645 (2020) - [j9]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: 77-87 (2020) - [j8]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): 394-417 (2020) - [c10]Jesse Read, Ricardo Araújo Rios, Tatiane Nogueira, Rodrigo Fernandes de Mello:
Data Streams Are Time Series: Challenging Assumptions. BRACIS (2) 2020: 529-543 - [c9]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: 650-664
2010 – 2019
- 2019
- [j7]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) - [c8]Adrien Brilhault, Sergio Neuenschwander, Ricardo Araújo Rios:
Using Clustering in Eye-Tracking Calibration Task. BRACIS 2019: 627-632 - [c7]Marcos Ricardo Santos Oliveira, Ricardo Araújo Rios:
Bidirectional Mean Distance Estimation: A New Gap filling Method. BRACIS 2019: 771-776 - 2018
- [c6]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: 504-509 - [c5]Millaray Curilem, João Paulo Canário, Luis Franco, Ricardo Araújo Rios:
Using CNN To Classify Spectrograms of Seismic Events From Llaima Volcano (Chile). IJCNN 2018: 1-8 - 2017
- [j6]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): 253-272 (2017) - [c4]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: 13-18 - [c3]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: 537-542 - [c2]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: 1031-1036 - [c1]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 - 2016
- [j5]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: 39-50 (2016) - [j4]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: 159-176 (2016) - 2015
- [j3]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): 1550013:1-1550013:19 (2015) - 2013
- [b1]Ricardo Araújo Rios:
Modelagem de séries temporais por meio da decomposição e análise de influências estocásticas e determinísticas. University of São Paulo, Brazil, 2013 - [j2]Ricardo Araújo Rios, Rodrigo Fernandes de Mello:
Improving time series modeling by decomposing and analyzing stochastic and deterministic influences. Signal Process. 93(11): 3001-3013 (2013) - 2011
- [j1]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): 217-237 (2011)
Coauthor Index
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last updated on 2024-10-08 20:36 CEST by the dblp team
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