Shallow vs. Deep Learning: Prioritizing Efficiency in Next Generation Networks. - Rafael Teixeira; Leonardo Almeida; Pedro Rodrigues; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (FiCloud, 2024)

From Black Box to Transparency: Consistency and Cost within XAI. - Julio Corona; Pedro Rodrigues; Leonardo Almeida; Rafael Teixeira; Mário Antunes 001; Rui L. Aguiar (GLOBECOM (Workshops), 2024)

WarpDrive: Improving spatial normalization using manual refinements. - Simon Oxenford; Ana Sofía Ríos; Barbara Hollunder; Clemens Neudorfer; Alexandre Boutet; Gavin J. B. Elias; Jürgen Germann; Aaron Loh; Wissam Deeb; Bryan Salvato; Leonardo Almeida; Kelly D. Foote; et al. (Medical Image Anal., 2024)

AIDetx: A Compression-Based Method for Identification of Machine-Learning Generated Text. - Leonardo Almeida; Pedro Rodrigues; Diogo Magalhães; Armando J. Pinho; Diogo Pratas (DCC, 2025)

Efficient training: Federated learning cost analysis. - Rafael Teixeira; Leonardo Almeida; Mário Antunes 001; Diogo Gomes 001; Rui L. Aguiar (Big Data Res., 2025)