César L. C. Mattos

20 papers B 3Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Extending the Minimal Learning Machine for Classification and Regression on Interval-Valued Data.
BRACIS (1)
Diêgo F. Oliveira, César L. C. Mattos, João P. P. Gomes
2025 J jnl
FRAPE: A Framework for Risk Assessment, Prioritization and Explainability of vulnerabilities in cybersecurity.
J. Inf. Secur. Appl.
Francisco Rodrigo Parente da Ponte, Emanuel Bezerra Rodrigues, César L. C. Mattos
2025 J jnl
Minimal learning machine for multi-label learning.
Mach. Learn.
Joonas Hämäläinen, Antoine Hubermont, Amauri H. Souza, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen
2024 J jnl
Edge AI for Internet of Medical Things: A literature review.
Comput. Electr. Eng.
Atslands Rego da Rocha, Matheus R. Monteiro, César L. C. Mattos, Madson L. D. Dias, Jorge Barbosa Soares, Regis Pires Magalhães, José A. F. de Macêdo
2024 J jnl
Spatio-temporal wind speed forecasting with approximate Bayesian uncertainty quantification.
Neural Comput. Appl.
Airton F. Souza Neto, César L. C. Mattos, João P. P. Gomes
2023 — conf
A Vulnerability Risk Assessment Methodology Using Active Learning.
AINA (2)
Francisco R. P. da Ponte, Emanuel Bezerra Rodrigues, César L. C. Mattos
2023 — conf
CVEjoin: An Information Security Vulnerability and Threat Intelligence Dataset.
AINA (1)
Francisco R. P. da Ponte, Emanuel Bezerra Rodrigues, César L. C. Mattos
2023 J jnl
Minimal Learning Machine for Multi-Label Learning.
CoRR
Joonas Hämäläinen, Amauri H. de Souza, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen
2022 J jnl
Bayesian Multilateration.
IEEE Signal Process. Lett.
Alisson S. C. Alencar, César L. C. Mattos, João P. P. Gomes, Diego Mesquita
2022 J jnl
Evaluating Link Lifetime Prediction to Support Computational Offloading Decision in VANETs.
Sensors
Paulo Rocha, Alisson Barbosa de Souza, Gilvan Maia, César L. C. Mattos, Francisco Airton Silva, Paulo A. L. Rego, Tuan Anh Nguyen, Jae-Woo Lee
2022 J jnl
Self-tuning portfolio-based Bayesian optimization.
Expert Syst. Appl.
Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, Gustavo C. de M. Virgolino, César L. C. Mattos, João P. P. Gomes
2020 J jnl
LS-SVR as a Bayesian RBF Network.
IEEE Trans. Neural Networks Learn. Syst.
Diego P. P. Mesquita, Luis A. Freitas, João P. P. Gomes, César L. C. Mattos
2020 B conf
On the Use of Cultural Enhancement Strategies to Improve the NEAT Algorithm.
CEC
Arthur L. A. Paulino, Yuri Lenon Barbosa Nogueira, João P. P. Gomes, César L. C. Mattos, Leonardo Ramos Rodrigues
2019 — conf
Evaluation of Data Based Normal Behavior Models for Fault Detection in Wind Turbines.
BRACIS
Daniel Souza, Thiago de P. Vasconcelos, César L. C. Mattos, João Gomes
2019 J jnl
LS-SVR as a Bayesian RBF network.
CoRR
Diego P. P. Mesquita, Luis A. Freitas, João P. P. Gomes, César L. C. Mattos
2019 J jnl
Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection.
CoRR
Joonas Hämäläinen, Alisson S. C. Alencar, Tommi Kärkkäinen, César L. C. Mattos, Amauri H. Souza Júnior, João P. P. Gomes
2019 B conf
No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization.
ICTAI
Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, César L. C. Mattos, João P. P. Gomes
2019 J jnl
No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization.
CoRR
Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, César L. C. Mattos, João P. P. Gomes
2019 — conf
OnMLM: An Online Formulation for the Minimal Learning Machine.
IWANN (1)
Alan L. S. Matias, César L. C. Mattos, Tommi Kärkkäinen, João P. P. Gomes, Ajalmar R. da Rocha Neto
2019 B conf
Sparse minimal learning machine using a diversity measure minimization.
ESANN
Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen