SensingBus: Using Bus Lines and Fog Computing for Smart Sensing the City. - Pedro Cruz 001; 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)

Inference Time Optimization Using BranchyNet Partitioning. - Roberto Gonçalves Pacheco; Rodrigo S. Couto 001 (ISCC, 2020)

Introduzindo a qualidade de imagem como uma nova condição de particionamento de DNN na borda. - Roberto Gonçalves Pacheco; Rodrigo De Souza Couto (SBRC, 2020)

Early-exit deep neural networks for distorted images: providing an efficient edge offloading. - Roberto Gonçalves Pacheco; Fernanda D. V. R. Oliveira; Rodrigo S. Couto 001 (GLOBECOM, 2021)

Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks. - Roberto Gonçalves Pacheco; Rodrigo S. Couto 001; Osvaldo Simeone (ICC, 2021)

Particionamento de Redes Neurais Profundas com Saídas Antecipadas. - Roberto Gonçalves Pacheco; Rodrigo De Souza Couto (SBRC Companion, 2021)

Towards Edge Computing Using Early-Exit Convolutional Neural Networks. - Roberto Gonçalves Pacheco; Kaylani Bochie; Mateus da Silva Gilbert; Rodrigo S. Couto 001; Miguel Elias M. Campista (Inf., 2021)

Improving Image-recognition Edge Caches with a Generative Adversarial Network. - Guilherme B. Souza; Roberto Gonçalves Pacheco; Rodrigo S. Couto 001 (ICC, 2022)

Decision Early-Exit: An Efficient Approach to Hasten Offloading in BranchyNets. - Mariana S. M. Barbosa; Roberto Gonçalves Pacheco; Rodrigo S. Couto 001; Dianne S. V. Medeiros; Miguel Elias M. Campista (LATINCOM, 2022)

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 (ICC, 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 (LATINCOM, 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 001 (SBRC, 2023)

On the impact of deep neural network calibration on adaptive edge offloading for image classification. - Roberto Gonçalves Pacheco; Rodrigo S. Couto 001; Osvaldo Simeone (J. Netw. Comput. Appl., 2023)

Message from the Chairs of IEEE GI 2024. - Sahar Hoteit; Roberto Gonçalves Pacheco (CloudNet, 2024)

Using Early-Exit Deep Neural Networks to Accelerate Spectrum Classification in O-RAN. - Roberto Gonçalves Pacheco; Rodrigo S. Couto 001; Sahar Hoteit (WiMob, 2024)

A survey of public datasets for O-RAN: fostering the development of machine learning models. - Rodrigo S. Couto 001; Pedro Cruz 001; Roberto Gonçalves Pacheco; Vivian Maria S. Souza; Miguel Elias M. Campista; Luís Henrique M. K. Costa (Ann. des Télécommunications, 2024)

UCBEE: A Multi Armed Bandit Approach for Early-Exit in Neural Networks. - Roberto Gonçalves Pacheco; Divya J. Bajpai; Mark Shifrin; Rodrigo S. Couto 001; Daniel Sadoc Menasché; Manjesh K. Hanawal; Miguel Elias M. Campista (IEEE Trans. Netw. Serv. Manag., 2025)

Early-Exit Deep Neural Network - A Comprehensive Survey. - Haseena Rahmath P; Vishal Srivastava; Kuldeep Chaurasia; Roberto Gonçalves Pacheco; Rodrigo S. Couto 001 (ACM Comput. Surv., 2025)