Samuel Suárez-Marcote

According to our database, Samuel Suárez-Marcote authored at least 6 papers between 2022 and 2026.

Collaborative distances:

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

2026

Information-Theoretic Unsupervised Feature Selection for High-Dimensional Spatial Data.

Samuel Suárez-Marcote, Abhijeet Vishwasrao, Ricardo Vinuesa, Laura Morán-Fernández, Verónica Bolón-Canedo

Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026

2025

Optimising Resource Use Through Low-Precision Feature Selection: A Performance Analysis of Logarithmic Division and Stochastic Rounding.

Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo

Expert Syst. J. Knowl. Eng., March, 2025

Efficient ReliefF: A Low-Power Optimization of ReliefF for Resource-Constrained Devices.

Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

2024

Mutual Information-Based Feature Selection for Federated Learning Environments.

Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo

Proceedings of the International Conference on Machine Learning and Applications, 2024

2023

Logarithmic division for green feature selection: an information-theoretic approach.

Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Less is more: Low-precision feature selection for wearables.

Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo

Proceedings of the International Joint Conference on Neural Networks, 2022