Deep Neural Network Hardware Implementation Based on Stacked Sparse Autoencoder. - Maria G. F. Coutinho; Matheus F. Torquato; Marcelo A. C. Fernandes (IEEE Access, 2019)

A New Hardware Approach to Self-Organizing Maps. - Leonardo Alves Dias; Maria G. F. Coutinho; Elena I. Gaura; Marcelo A. C. Fernandes (ASAP, 2020)

Low Cost and Low Power Stacked Sparse Autoencoder Hardware Acceleration for Deep Learning Edge Computing Applications. - Tarek Belabed; Maria Gracielly F. Coutinho; Marcelo A. C. Fernandes; Carlos Valderrama 001; Chokri Souani (ATSIP, 2020)

User Driven FPGA-Based Design Automated Framework of Deep Neural Networks for Low-Power Low-Cost Edge Computing. - Tarek Belabed; Maria Gracielly F. Coutinho; Marcelo A. C. Fernandes; Carlos Valderrama Sakuyama; Chokri Souani (IEEE Access, 2021)

Hardware Architecture Proposal for TEDA Algorithm to Data Streaming Anomaly Detection. - Lucileide M. D. Da Silva; Maria G. F. Coutinho; Carlos E. B. Santos; Mailson Ribeiro Santos; M. Dolores Ruiz; Luiz Affonso Guedes; Marcelo A. C. Fernandes (IEEE Access, 2021)

Convolutional Neural Network Applied to SARS-CoV-2 Sequence Classification. - Gabriel B. M. Câmara; Maria G. F. Coutinho; Lucileide M. D. Da Silva; Walter V. do N. Gadelha; Matheus F. Torquato; Raquel de M. Barbosa; Marcelo A. C. Fernandes (Sensors, 2022)

Deepvirusclassifier: a deep learning tool for classifying SARS-CoV-2 based on viral subtypes within the coronaviridae family. - Karolayne S. Azevedo; Luísa C. de Souza; Maria G. F. Coutinho; Raquel de M. Barbosa; Marcelo A. C. Fernandes (BMC Bioinform., 2023)

Utilizing chaos game representation for enhanced classification of SARS-CoV-2 variants with stacked sparse autoencoders. - Maria G. F. Coutinho; Gabriel B. M. Câmara; Raquel de M. Barbosa; Marcelo A. C. Fernandes (Neural Comput. Appl., 2024)