Roberto Gonçalves Pacheco

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 17

Top Topics

Distorted Images

Bayesian Classifiers

Top Venues

Publications

Mateus S. Gilbert, Roberto Gonçalves Pacheco, Rodrigo De Souza Couto, Marcello L. R. de Campos, Miguel Elias M. Campista
Unlocking Early-Exiting Semantic Segmentation with Branched Networks. LATINCOM (2023)
Roberto Gonçalves Pacheco, Fernanda D. V. R. Oliveira, Rodrigo S. Couto
Redes Neurais Profundas com Saídas Antecipadas para Imagens com Distorção em Ambientes de Nuvem. SBRC (2023)
Roberto Gonçalves Pacheco, Mark Shifrin, Rodrigo De Souza Couto, Daniel S. Menasché, Manjesh K. Hanawal, Miguel Elias M. Campista
AdaEE: Adaptive Early-Exit DNN Inference Through Multi-Armed Bandits. ICC (2023)
Roberto Gonçalves Pacheco, Rodrigo S. Couto, Osvaldo Simeone
On the impact of deep neural network calibration on adaptive edge offloading for image classification. J. Netw. Comput. Appl. 217 (2023)
Guilherme B. Souza, Roberto Gonçalves Pacheco, Rodrigo S. Couto
Improving Image-recognition Edge Caches with a Generative Adversarial Network. CoRR (2022)
Mariana S. M. Barbosa, Roberto Gonçalves Pacheco, Rodrigo S. Couto, Dianne S. V. Medeiros, Miguel Elias M. Campista
Decision Early-Exit: An Efficient Approach to Hasten Offloading in BranchyNets. LATINCOM (2022)
Guilherme B. Souza, Roberto Gonçalves Pacheco, Rodrigo S. Couto
Improving Image-recognition Edge Caches with a Generative Adversarial Network. ICC (2022)
Roberto Gonçalves Pacheco, Fernanda D. V. R. Oliveira, Rodrigo S. Couto
Early-exit deep neural networks for distorted images: providing an efficient edge offloading. CoRR (2021)
Roberto Gonçalves Pacheco, Fernanda D. V. R. Oliveira, Rodrigo S. Couto
Early-exit deep neural networks for distorted images: providing an efficient edge offloading. GLOBECOM (2021)
Roberto Gonçalves Pacheco, Kaylani Bochie, Mateus S. Gilbert, Rodrigo S. Couto, Miguel Elias M. Campista
Towards Edge Computing Using Early-Exit Convolutional Neural Networks. Inf. 12 (10) (2021)
Roberto Gonçalves Pacheco, Rodrigo De Souza Couto
Particionamento de Redes Neurais Profundas com Saídas Antecipadas. SBRC Companion (2021)
Roberto Gonçalves Pacheco, Rodrigo S. Couto, Osvaldo Simeone
Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks. ICC (2021)
Roberto Gonçalves Pacheco, Rodrigo De Souza Couto
Introduzindo a qualidade de imagem como uma nova condição de particionamento de DNN na borda. SBRC (2020)
Roberto Gonçalves Pacheco, Rodrigo S. Couto, Osvaldo Simeone
Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks. CoRR (2020)
Roberto Gonçalves Pacheco, Rodrigo S. Couto
Inference Time Optimization Using BranchyNet Partitioning. ISCC (2020)
Roberto Gonçalves Pacheco, Rodrigo S. Couto
Inference Time Optimization Using BranchyNet Partitioning. CoRR (2020)
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
SensingBus: Using Bus Lines and Fog Computing for Smart Sensing the City. IEEE Cloud Comput. 5 (5) (2018)