16 citations · 16 across the 3 of their papers we have counts for
3 papers
Predicting Parkinson's disease evolution using deep learning
Maria Frasca, Davide La Torre, Gabriella Pravettoni +1
Parkinson's disease is a neurological condition that occurs in nearly 1% of the world's population. The disease is manifested by a drop in dopamine production, symptoms are cogniti…
Coevolution of Neural Architectures and Features for Stock Market Forecasting: A Multi-objective Decision Perspective
Faizal Hafiz, Jan Broekaert, Davide La Torre +1
In a multi objective setting, a portfolio manager's highly consequential decisions can benefit from assessing alternative forecasting models of stock index movement. The present in…
Mixing Deep Learning and Multiple Criteria Optimization: An Application to Distributed Learning with Multiple Datasets
Davide La Torre, Danilo Liuzzi, Marco Repetto +1
The training phase is the most important stage during the machine learning process. In the case of labeled data and supervised learning, machine training consists in minimizing the…