Roberto Gonçalves Pacheco

According to our database, Roberto Gonçalves Pacheco authored at least 16 papers between 2018 and 2025.

Collaborative distances:

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

2025

Early-Exit Deep Neural Network - A Comprehensive Survey.

Haseena Rahmath P, Vishal Srivastava, Kuldeep Chaurasia, Roberto Gonçalves Pacheco, Rodrigo S. Couto

ACM Comput. Surv., March, 2025

2024

A survey of public datasets for O-RAN: fostering the development of machine learning models.

Rodrigo S. Couto, Pedro Cruz, Roberto Gonçalves Pacheco, Vivian Maria S. Souza, Miguel Elias M. Campista, Luís Henrique M. K. Costa

Ann. des Télécommunications, October, 2024

Using Early-Exit Deep Neural Networks to Accelerate Spectrum Classification in O-RAN.

Roberto Gonçalves Pacheco, Rodrigo S. Couto, Sahar Hoteit

Proceedings of the 20th International Conference on Wireless and Mobile Computing, 2024

2023

On the impact of deep neural network calibration on adaptive edge offloading for image classification.

Roberto Gonçalves Pacheco, Rodrigo S. Couto, Osvaldo Simeone

J. Netw. Comput. Appl., 2023

Redes Neurais Profundas com Saídas Antecipadas para Imagens com Distorção em Ambientes de Nuvem.

Roberto Gonçalves Pacheco, Fernanda D. V. R. Oliveira, Rodrigo S. Couto

Proceedings of the 41st Brazilian Symposium on Computer Networks and Distributed Systems, 2023

Unlocking Early-Exiting Semantic Segmentation with Branched Networks.

Mateus da Silva Gilbert, Roberto Gonçalves Pacheco, Rodrigo De Souza Couto, Marcello L. R. de Campos, Miguel Elias M. Campista

Proceedings of the IEEE Latin-American Conference on Communications, 2023

AdaEE: Adaptive Early-Exit DNN Inference Through Multi-Armed Bandits.

Roberto Gonçalves Pacheco, Mark Shifrin, Rodrigo De Souza Couto, Daniel S. Menasché, Manjesh K. Hanawal, Miguel Elias M. Campista

Proceedings of the IEEE International Conference on Communications, 2023

2022

Decision Early-Exit: An Efficient Approach to Hasten Offloading in BranchyNets.

Mariana S. M. Barbosa, Roberto Gonçalves Pacheco, Rodrigo S. Couto, Dianne S. V. Medeiros, Miguel Elias M. Campista

Proceedings of the IEEE Latin-American Conference on Communications, 2022

Improving Image-recognition Edge Caches with a Generative Adversarial Network.

Guilherme B. Souza, Roberto Gonçalves Pacheco, Rodrigo S. Couto

Proceedings of the IEEE International Conference on Communications, 2022

2021

Towards Edge Computing Using Early-Exit Convolutional Neural Networks.

Roberto Gonçalves Pacheco, Kaylani Bochie, Mateus da Silva Gilbert, Rodrigo S. Couto, Miguel Elias M. Campista

Inf., 2021

Particionamento de Redes Neurais Profundas com Saídas Antecipadas.

Roberto Gonçalves Pacheco, Rodrigo De Souza Couto

Proceedings of the Companion Proceedings of the 39th Brazilian Symposium on Computer Networks and Distributed Systems, 2021

Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks.

Roberto Gonçalves Pacheco, Rodrigo S. Couto, Osvaldo Simeone

Proceedings of the ICC 2021, 2021

Early-exit deep neural networks for distorted images: providing an efficient edge offloading.

Roberto Gonçalves Pacheco, Fernanda D. V. R. Oliveira, Rodrigo S. Couto

Proceedings of the IEEE Global Communications Conference, 2021

2020

Introduzindo a qualidade de imagem como uma nova condição de particionamento de DNN na borda.

Roberto Gonçalves Pacheco, Rodrigo De Souza Couto

Proceedings of the XXXVIII Brazilian Symposium on Computer Networks and Distributed Systems, 2020

Inference Time Optimization Using BranchyNet Partitioning.

Roberto Gonçalves Pacheco, Rodrigo S. Couto

Proceedings of the IEEE Symposium on Computers and Communications, 2020

2018

SensingBus: Using Bus Lines and Fog Computing for Smart Sensing the City.

Pedro Cruz, Felipe A. F. da Silva, Roberto Gonçalves Pacheco, Rodrigo De Souza Couto, Pedro Braconnot Velloso, Miguel Elias Mitre Campista, Luís Henrique Maciel Kosmalski Costa

IEEE Cloud Comput., 2018