3 citations · 3 across the 3 of their papers we have counts for
4 papers
Mining and evaluation of patients' diagnostic therapeutic paths through state sequences analysis
Laura Savaré, Francesca Ieva, Giovanni Corrao +1
The concept of care pathways is increasingly being used to enhance the quality of care and to optimize the use of resources for health care. Nevertheless, recommendations regarding…
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification
Michela C. Massi, Francesca Ieva
EEG technology finds applications in several domains. Currently, most EEG systems require subjects to wear several electrodes on the scalp to be effective. However, several channel…
Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble
Michela C. Massi, Francesca Ieva, Francesca Gasperoni +1
Class imbalance is a common issue in many domain applications of learning algorithms. Oftentimes, in the same domains it is much more relevant to correctly classify and profile min…
A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data
Andrea Martino, Andrea Ghiglietti, Francesca Ieva +1
This paper proposes a clustering procedure for samples of multivariate functions in , with . This method is based on a k-means algorithm in which the distance…