Sensingbus: Using bus lines and fog computing for smart sensing the city PHC Caminha, FF da Silva, RG Pacheco, R de Souza Couto, PB Velloso, ... IEEE Cloud Computing 5 (5), 58-69, 2018 | 37 | 2018 |
Inference time optimization using branchynet partitioning RG Pacheco, RS Couto 2020 IEEE Symposium on Computers and Communications (ISCC), 1-6, 2020 | 36 | 2020 |
Calibration-aided edge inference offloading via adaptive model partitioning of deep neural networks RG Pacheco, RS Couto, O Simeone ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 27 | 2021 |
Early-exit deep neural networks for distorted images: Providing an efficient edge offloading RG Pacheco, FDVR Oliveira, RS Couto 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 20 | 2021 |
Towards edge computing using early-exit convolutional neural networks RG Pacheco, K Bochie, MS Gilbert, RS Couto, MEM Campista Information 12 (10), 431, 2021 | 20 | 2021 |
On the impact of deep neural network calibration on adaptive edge offloading for image classification RG Pacheco, RS Couto, O Simeone Journal of Network and Computer Applications 217, 103679, 2023 | 13 | 2023 |
SensingBus: um Sistema de Sensoriamento Baseado emˆOnibus Urbanos P Cruz, FF da Silva, RG Pacheco, RS Couto, PB Velloso, MEM Campista, ... | 6 | 2017 |
AdaEE: Adaptive early-exit DNN inference through multi-armed bandits RG Pacheco, M Shifrin, RS Couto, DS Menasché, MK Hanawal, ... ICC 2023-IEEE International Conference on Communications, 3726-3731, 2023 | 5 | 2023 |
Early-exit deep neural network-a comprehensive survey H Rahmath P, V Srivastava, K Chaurasia, RG Pacheco, RS Couto ACM Computing Surveys 57 (3), 1-37, 2024 | 2 | 2024 |
Introduzindo a qualidade de imagem como uma nova condiçao de particionamento de dnn na borda RG Pacheco, R de Souza Couto Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC …, 2020 | 2 | 2020 |
UCBEE: A Multi Armed Bandit Approach for Early-Exit in Neural Networks RG Pacheco, DJ Bajpai, M Shifrin, RS Couto, DS Menasché, MK Hanawal, ... IEEE Transactions on Network and Service Management, 2024 | 1 | 2024 |
A survey of public datasets for O-RAN: fostering the development of machine learning models RS Couto, P Cruz, RG Pacheco, VMS Souza, MEM Campista, ... Annals of Telecommunications 79 (9), 649-662, 2024 | 1 | 2024 |
Unlocking early-exiting semantic segmentation with branched networks MS Gilbert, RG Pacheco, RS Couto, MLR De Campos, MEM Campista 2023 IEEE Latin-American Conference on Communications (LATINCOM), 1-6, 2023 | 1 | 2023 |
Particionamento de redes neurais profundas com saídas antecipadas RG Pacheco Universidade Federal do Rio de Janeiro, 2020 | 1 | 2020 |
Message from the Chairs of IEEE GI 2024 S Hoteit, RG Pacheco 2024 IEEE 13th International Conference on Cloud Networking (CloudNet), 1-1, 2024 | | 2024 |
Using Early-Exit Deep Neural Networks to Accelerate Spectrum Classification in O-RAN RG Pacheco, RS Couto, S Hoteit 2024 20th International Conference on Wireless and Mobile Computing …, 2024 | | 2024 |
Redes Neurais Profundas com Saídas Antecipadas para Imagens com Distorção em Ambientes de Nuvem RG Pacheco, FDVR Oliveira, RS Couto Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC …, 2023 | | 2023 |
Decision Early-Exit: An Efficient Approach to Hasten Offloading in BranchyNets MSM Barbosa, RG Pacheco, RS Couto, DSV Medeiros, MEM Campista 2022 IEEE Latin-American Conference on Communications (LATINCOM), 1-6, 2022 | | 2022 |
Improving Image-recognition Edge Caches with a Generative Adversarial Network GB Souza, RG Pacheco, RS Couto ICC 2022-IEEE International Conference on Communications, 1918-1923, 2022 | | 2022 |
Um Cache de Imagens Urbanas Auxiliado por Redes Adversárias Generativas GB Souza, RG Pacheco, RS Couto Workshop de Computação Urbana (CoUrb), 223-236, 2021 | | 2021 |