Showing stat.MLShow all
2 papers · 1 filter
stat.ML2026
Robust LassoNet: Enhancing Feature Selection in Neural Networks via Robust Loss Functions
Daniela De Canditiis, Italia De Feis, Paola Stolfi
Feature selection in neural networks remains a challenging problem, particularly in the presence of noisy or contaminated data. LassoNet is a recent approach that addresses this is…
stat.ML2024
Effective Non-Random Extreme Learning Machine
Daniela De Canditiis, Fabiano Veglianti
The Extreme Learning Machine (ELM) is a growing statistical technique widely applied to regression problems. In essence, ELMs are single-layer neural networks where the hidden laye…