M. Capriotti

The I.F.A.S.T. model allows the prediction of conversion to Alzheimer disease in patients with mild cognitive impairment with high degree of accuracy.

C Babiloni, M Buscema, P. Rossini, 2010, Current Alzheimer research.

Is it possible to automatically distinguish resting EEG data of normal elderly vs. mild cognitive impairment subjects with high degree of accuracy?

Massimo Buscema, Claudio Del Percio, Claudio Babiloni, 2008, Clinical Neurophysiology.

mining methodologies aim to define procedures for model validation and thus for the estimate of its predictive capability, of its function as an effective decision support tool, as a tool for exploration of alternative hypotheses

M. Capriotti, aRTIFICIaL aDaPTIvE, SySTEMS LaaaaS, 2014 .

The Implicit Function as Squashing Time Model: A Novel Parallel Nonlinear EEG Analysis Technique Distinguishing Mild Cognitive Impairment and Alzheimer's Disease Subjects with High Degree of Accuracy

Paolo Massimo Buscema, Claudio Babiloni, Paolo Maria Rossini, 2007, Comput. Intell. Neurosci..

A Model for Asystematic Mobility in Urban Space

Giorgio Turchetti, Armando Bazzani, Bruno Giorgini, 2008 .

The impact of a hybrid hospital at home program in reducing subacute rehabilitation referrals

M. Capriotti, R. Yadav, A. Shukla, 2023, medRxiv.

The Smart Library Architecture of an Orientation Portal

Massimo Buscema, Guido Maurelli, Stefano Terzi, 2006 .

A Brief Introduction to Evolutionary Algorithms and the Genetic Doping Algorithm

Massimo Buscema, Massimiliano Capriotti, M. Buscema, 2013 .