Generative deep learning models for cognitive performance trajectories in real-world scenarios
Denis Expósito, Elina Maltseva, Carolina Sastre‐Barrios, Íñigo Fernández de Piérola, Jesús M. Cortés
This paper compares deep learning models for predicting cognitive performance trajectories using real-world data and finds CNNs to be the most robust for pattern recognition and overfitting resistance.
bioRxiv · Jul 5, 2024 · PreprintNeuroscience