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stat.ML2025
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…
stat.ML2024
A network-constrain Weibull AFT model for biomarkers discovery
Claudia Angelini, Daniela De Canditiis, Italia De Feis +1
We propose AFTNet, a novel network-constraint survival analysis method based on the Weibull accelerated failure time (AFT) model solved by a penalized likelihood approach for varia…