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)

A survey on deep learning for challenged networks: Applications and trends. - Kaylani Bochie; Mateus da Silva Gilbert; Luana Gantert; Mariana Maciel Barbosa; Dianne S. V. Medeiros; Miguel Elias M. Campista (J. Netw. Comput. Appl., 2021)

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)

Autoencoders Assimétricos para a Compressão de Dados IoT. - Mateus da Silva Gilbert; Marcello Luiz Rodrigues de Campos; Miguel Elias M. Campista (SBRC, 2023)

Asymmetric Autoencoders: An NN alternative for resource-constrained devices in IoT networks. - Mateus da Silva Gilbert; Marcello L. R. de Campos; Miguel Elias M. Campista (Ad Hoc Networks, 2024)