A selection of highlights from my publicly available work.
Software
Long Range Models (github) A modular Python package with JAX/Flax implementations of long-range sequence models like LRU, S5, and S4. |
Chase Conv (github) A lightweight 3D game asset converter made in Rust, enabling conversion between native formats and GLTF. |
Papers
- de Souza, G. H., Faria, G., Motta, L. P., Bernardino, H. S., & Vieira, A. B. (2023). EEG data for motor imagery brain-computer interface using low-cost equipment. Latin American Data in Science, 2(2), 67–73. https://doi.org/10.53805/lads.v2i2.49.
- de Souza, G. H., Faria, G., Motta, L. P., Bernardino, H. S., & Vieira, A. B. (2022). Feature extraction for a genetic programming-based brain-computer interface. In J. C. Xavier-Junior & R. A. Rios (Eds.), Intelligent Systems (pp. 135–149). Springer International Publishing. https://doi.org/10.1007/978-3-031-21686-2
- Faria, G., de Souza, G. H., Bernardino, H. S., Motta, L., & Vieira, A. B. (2022). Analyzing data augmentation methods for convolutional neural network-based brain-computer interfaces. In 2022 International Joint Conference on Neural Networks (IJCNN) (pp. 1–8). IEEE. https://doi.org/10.1109/IJCNN55064.2022.9891891