| A survey and taxonomy of FPGA-based deep learning accelerators AG Blaiech, KB Khalifa, C Valderrama, MAC Fernandes, MH Bedoui Journal of Systems Architecture 98, 331-345, 2019 | 102 | 2019 |
| Parallel implementation of reinforcement learning Q-learning technique for FPGA LMD Da Silva, MF Torquato, MAC Fernandes IEEE Access 7, 2782-2798, 2018 | 80 | 2018 |
| High-performance parallel implementation of genetic algorithm on fpga MF Torquato, MAC Fernandes Circuits, Systems, and Signal Processing 38 (9), 4014-4039, 2019 | 60 | 2019 |
| Parallel fixed point implementation of a radial basis function network in an fpga ACD De Souza, MAC Fernandes Sensors 14 (10), 18223-18243, 2014 | 46 | 2014 |
| Deep neural network hardware implementation based on stacked sparse autoencoder MGF Coutinho, MF Torquato, MAC Fernandes IEEE Access 7, 40674-40694, 2019 | 45 | 2019 |
| Parallel implementation on FPGA of support vector machines using stochastic gradient descent FF Lopes, JC Ferreira, MAC Fernandes Electronics 8 (6), 631, 2019 | 40 | 2019 |
| Parallel implementation of k-means algorithm on fpga LA Dias, JC Ferreira, MAC Fernandes IEEE Access 8, 41071-41084, 2020 | 36 | 2020 |
| Parallel implementation of particle swarm optimization on FPGA ALX Da Costa, CAD Silva, MF Torquato, MAC Fernandes IEEE Transactions on Circuits and Systems II: Express Briefs 66 (11), 1875-1879, 2019 | 35 | 2019 |
| A parallel implementation of sequential minimal optimization on FPGA DH Noronha, MF Torquato, MAC Fernandes Microprocessors and Microsystems 69, 138-151, 2019 | 34 | 2019 |
| Project-based learning applied to an embedded systems course MAC Fernandes International Journal of Electrical Engineering Education 54 (3), 223-235, 2017 | 34 | 2017 |
| Fully parallel implementation of Otsu automatic image thresholding algorithm on FPGA WKP Barros, LA Dias, MAC Fernandes Sensors 21 (12), 4151, 2021 | 33 | 2021 |
| Problem‐based learning applied to the artificial intelligence course MAC Fernandes Computer Applications in Engineering Education 24 (3), 388-399, 2016 | 31 | 2016 |
| Platform for real-time simulation of dynamic systems and hardware-in-the-loop for control algorithms IDT De Souza, SN Silva, RM Teles, MAC Fernandes Sensors 14 (10), 19176-19199, 2014 | 28 | 2014 |
| Fuzzy controller applied to electric vehicles with continuously variable transmission MAC Fernandes Neurocomputing 214, 684-691, 2016 | 26 | 2016 |
| Convolutional neural network applied to SARS-CoV-2 sequence classification GBM Câmara, MGF Coutinho, LMD Silva, WVN Gadelha, MF Torquato, ... Sensors 22 (15), 5730, 2022 | 25 | 2022 |
| User driven FPGA-based design automated framework of deep neural networks for low-power low-cost edge computing T Belabed, MGF Coutinho, MAC Fernandes, CV Sakuyama, C Souani IEEE Access 9, 89162-89180, 2021 | 24 | 2021 |
| 8-VSB channel coding analysis for DTV broadcast FCC De Castro, MCF De Castro, MAC Fernandes, DS Arantes IEEE Transactions on Consumer Electronics 46 (3), 539-547, 2002 | 23 | 2002 |
| Gene Expression of GABAA Receptor Subunits and Association with Patient Survival in Glioma R Badalotti, M Dalmolin, O Malafaia, JM Ribas Filho, R Roesler, ... Brain Sciences 14 (3), 275, 2024 | 22 | 2024 |
| A novel deep neural network technique for drug–target interaction JG De Souza, MAC Fernandes, R de Melo Barbosa Pharmaceutics 14 (3), 625, 2022 | 22 | 2022 |
| Chaos game representation dataset of SARS-CoV-2 genome RM Barbosa, MAC Fernandes Data in brief 30, 105618, 2020 | 21 | 2020 |
Matheus TorquatoSenior Data Scientist at Jaguar Land RoverVerified email at jaguarlandrover.com
