High-Performance Machine Learning

Repositories

• https://github.com/cart-pucminas/machine-learning

• https://github.com/cart-pucminas/pneumonia

Publications

1. SOARES, F. A. L.; FREITAS, H. C., Automated and Intelligent System for World Health Organization Data Forecasting, in Wiley Expert Systems (ES), Vol. 41, Issue 4, e13521, 2024. 

2. MACIEL, L. A.; SOUZA, M. A.; FREITAS, H. C., Energy-Efficient CPU+FPGA-based CNN Architecture for Intrusion Detection Systems, in IEEE Consumer Electronics Magazine (MCE), P. 1-7, 2023.

3. SOARES, Felipe A. L.; LOUSADA, Efrem E. O.; SILVEIRA, Tiago B.; MINI, Raquel A. F.; ZÁRATE, Luis E.; FREITAS, Henrique C.. Analysis and Prediction of Childhood Pneumonia Deaths using Machine Learning Algorithms. In: SYMPOSIUM ON KNOWLEDGE DISCOVERY, MINING AND LEARNING (KDMILE), 9. , 2021, Rio de Janeiro. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, p. 16-23, 2021.

4. MACIEL, LUCAS ANDRADE ; SOUZA, MATHEUS ALCANTARA ; DE FREITAS, HENRIQUE COTA . Reconfigurable FPGA-based K-means/K-modes Architecture for Network Intrusion Detection. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, v. 67, p. 1459-1463, 2020.

5. FERRAZ, PEDRO AUGUSTO PINHO ; DE OLIVEIRA, BERNARDO AUGUSTO GODINHO ; FERREIRA, FLÁVIA MAGALHÃES FREITAS ; MARTINS, CARLOS AUGUSTO PAIVA DA SILVA . Three-stage RGBD architecture for vehicle and pedestrian detection using convolutional neural networks and stereo vision. IET Intelligent Transport Systems, v. 14, p. 1319-1327, 2020.

6. OLIVEIRA, BERNARDO A. G. ; MARTINS, CARLOS A. P. DA S. ; MAGALHAES, FLAVIA ; GOES, LUIS FABRICIO W. . Difference Based Metrics for Deep Reinforcement Learning Algorithms. IEEE Access, v. 1, p. 1-1, 2019.

7. CASTRO, GUILHERME TORRES ; ZÁRATE, LUIS ENRIQUE ; NOBRE, CRISTIANE NERI ; FREITAS, HENRIQUE COTA . A Fast Parallel K-Modes Algorithm for Clustering Nucleotide Sequences to Predict Translation Initiation Sites. Journal of Computational Biology, v. 26, p. 442-456, 2019.

8. SOUZA, MATHEUS A. ; MACIEL, LUCAS A. ; PENNA, PEDRO HENRIQUE ; FREITAS, HENRIQUE C. . Energy Efficient Parallel K-Means Clustering for an Intel® Hybrid Multi-Chip Package. 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2018. p. 372-379.

9. DE OLIVEIRA, BERNARDO A. G. ; MAGALHAES, FLAVIA ; MARTINS, CARLOS A. P. DA S. . Fast and Lightweight Object Detection Network: Detection and recognition on resource constrained devices. IEEE Access, v. 6, p. 1-1, 2018.

10. MACIEL, L. A. ; SOUZA, M. A. ; FREITAS, H. C. . Projeto e avaliação de uma arquitetura do algoritmo de clusterização K-means em VHDL e FPGA. Simpósio em Sistemas Computacionais de Alto Desempenho (WSCAD), Campinas, 2017. p. 256-267.

11. SAFFRAN, J. ; GARCIA, G. A. G. ; SOUZA, M. A. ; PENNA, P. H. M. M. ; CASTRO, M. ; GOES, L. F. W. ; FREITAS, H. C. . A low-cost energy-efficient Raspberry Pi cluster for data mining algorithms. In: Workshop on UnConventional High Performance Computing (UCHPC 2016), Grenoble, Lecture Notes in Computer Science (doi), 2017.

12. RODRIGUES, L. M. ; ZÁRATE, L. E.  ; NOBRE, C. N. ; FREITAS, H. C. . Parallel and Distributed Kmeans to Identify the Translation Initiation Site of Proteins. In: IEEE International Conference on Systems, Man, and Cybernetics, Seoul, p. 1639-1645. 2012.