Leonardo Almeida

According to our database, Leonardo Almeida authored at least 7 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Beyond performance comparing the costs of applying Deep and Shallow Learning.

Rafael Teixeira, Leonardo Almeida, Pedro Rodrigues, Mário Antunes, Diogo Gomes, Rui L. Aguiar

Comput. Commun., 2025

Efficient training: Federated learning cost analysis.

Rafael Teixeira, Leonardo Almeida, Mário Antunes, Diogo Gomes, Rui L. Aguiar

Big Data Res., 2025

Understanding what Federated Learning Models Learn: a Comparative Study with Traditional Models.

Rafael Teixeira, Leonardo Almeida, Pedro Rodrigues, Julio Corona, Mário Antunes, Rui L. Aguiar

Proceedings of the 21th International Conference on Wireless and Mobile Computing, 2025

AIDetx: A Compression-Based Method for Identification of Machine-Learning Generated Text.

Leonardo Almeida, Pedro Rodrigues, Diogo Magalhães, Armando J. Pinho, Diogo Pratas

Proceedings of the Data Compression Conference, 2025

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, Robert S. C. Amaral, Paul B. Rosenberg, David F. Tang-Wai, David A. Wolk, Anna D. Burke, Marwan N. Sabbagh, Stephen Salloway, M. Mallar Chakravarty, Gwenn S. Smith, Constantine G. Lyketsos, Michael S. Okun, William S. Anderson, Zoltan Mari, Francisco A. Ponce, Andres M. Lozano, Wolf-Julian Neumann, Bassam Al-Fatly, Andreas Horn

Medical Image Anal., January, 2024

From Black Box to Transparency: Consistency and Cost within XAI.

Julio Corona, Pedro Rodrigues, Leonardo Almeida, Rafael Teixeira, Mário Antunes, Rui L. Aguiar

Proceedings of the IEEE Globecom Workshops 2024, 2024

Shallow vs. Deep Learning: Prioritizing Efficiency in Next Generation Networks.

Rafael Teixeira, Leonardo Almeida, Pedro Rodrigues, Mário Antunes, Diogo Gomes, Rui L. Aguiar

Proceedings of the 11th International Conference on Future Internet of Things and Cloud, 2024