Mateus A. S. S. Goldbarg

According to our database, Mateus A. S. S. Goldbarg authored at least 4 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

A Novel Training Strategy for Deep Learning Model Compression Applied to Automatic Modulation Classification.

Mateus A. S. S. Goldbarg, Micael Balza, Sérgio N. Silva, Lucileide M. D. Da Silva, Marcelo A. C. Fernandes

IEEE Open J. Commun. Soc., 2025

2024

Application of Fuzzy Logic for Horizontal Scaling in Kubernetes Environments within the Context of Edge Computing.

Sérgio N. Silva, Mateus A. S. S. Goldbarg, Lucileide M. D. Da Silva, Marcelo A. C. Fernandes

Future Internet, September, 2024

2023

Machine Learning Applied to Anomaly Detection on 5G O-RAN Architecture.

Pedro V. A. Alves, Mateus A. S. S. Goldbarg, Wysterlânya K. P. Barros, Iago D. Rego, Vinícius J. M. T. Filho, Allan de M. Martins, Vicente A. de Sousa Jr., Ramon dos Reis Fontes, Eduardo Henrique da Silva Aranha, Augusto José Venâncio Neto, Marcelo A. C. Fernandes

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

2022

Prototyping near-real time RIC O-RAN xApps for Flexible ML-based Spectrum Sensing.

Iago D. Rego, Lucas Medeiros, Pedro V. A. Alves, Mateus A. S. S. Goldbarg, Vitor Lopes, Daniel L. Flor, Wysterlânya K. P. Barros, Vinícius J. M. T. Filho, Vicente Sousa, Eduardo Aranha, Allan de M. Martins, Marcelo Fernandes, Ramon R. Fontes, Augusto Neto

Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2022