2 papers
stat.ML2026
Dirichlet-Based Monte Carlo Dropout for Uncertainty Estimation in Neural Networks
Rouaa Hoblos, Noura Dridi, Noureddine Zerhouni +1
Traditional neural networks provide deterministic predictions without inherent uncertainty estimates. While Bayesian Neural Networks (BNNs) offer a principled approach to uncertain…
stat.AP2023
A new methodology to predict the oncotype scores based on clinico-pathological data with similar tumor profiles
Zeina Al Masry, Romain Pic, Clément Dombry +1
Introduction: The Oncotype DX (ODX) test is a commercially available molecular test for breast cancer assay that provides prognostic and predictive breast cancer recurrence informa…