Advanced classification of Alzheimer’s disease and healthy subjects based on EEG markers

Authors: Vitoantonio Bevilacqua, Angelo Antonio Salatino, Carlo Di Leo, Giacomo Tattoli, Domenico Buongiorno, Domenico Signorile, Claudio Babiloni, Claudio Del Percio, Antonio Ivano Triggiani, Loreto Gesualdo Abstract: In this study, we compared several classifiers for the supervised distinction between normal elderly and Alzheimer’s disease individuals, based on resting state electroencephalographic markers, age, gender and education.

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Smart Health 2.0

The goal of the project “Smart Health 2.0” is the realization of a technological system that implements an innovative model of healthcare based on the paradigm of digital open architecture, modular and scalable. The system allows to enable the development of new models of applicative cooperation among different operating entities in the field of Health, […]

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[LAMRECOR] Logistica avanzata per la mobilità di persone e merci: modelli matematici e sperimentazioni per nuovi protocolli di recapito della corrispondenza

Introduction The LAMRECOR project (Advanced Logistics for people and goods mobility: mathematical models and trials related to new protocols for mail delivery) develops a set of technological solutions and services for advanced logistic, through a high integration of the sorting and delivery system of mail and other postal products of Poste Italiane SpA, with innovative ICT […]

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SS-RR: Sviluppo di un Sistema di Rilevazione della Risonanza

Introduction The SS-RR project (Sviluppo di un Sistema per la Rilevazione della Risonanza, english: Development of a System for Resonance Detection) aims to develop methodologies exploiting current technologies in order to provide innovative services. In particular, the detection of harmony levels between one or more people in relation to external stimuli. For example, the measure of […]

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Advanced Logistics for people and goods mobility: mathematical models and trials related to new protocols for mail delivery (LAMRECOR project)

  Authors: Mario Nicola Armenise, Vito Antonio Bevilacqua, Michele Bozzetti, Leonarda Carnimeo, Caterina Ciminelli, Marcello Di Marzo, Maria Grazia Dotoli, Maria Pia Fanti, Ivan Giannoccaro, Giuseppe Mastronardi, Michele Ottomanelli, Giulio Reina, Arcangelo Messina, Nicola Sasanelli, Lorenzo Abbatecola, Giuseppina Carlone, Massimiliano Dellisanti, Maripina De Palo, Filomena Innone, Angelo Antonio Salatino, Stefani Stipo, Teresa Tatoli, Marco Alessandris, […]

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Evaluation of Resonance in Staff Selection through Multimedia Contents

  Authors: Vitoantonio Bevilacqua, Angelo Antonio Salatino, Carlo Di Leo, Dario D’Ambruoso, Marco Suma, Donato Barone, Giacomo Tattoli, Domenico Campagna, Fabio Stroppa, Michele Pantaleo Abstract: In this paper we present the results of an experimental Italian research project finalized to support the classification process of the two behavioural status (resonance and dissonance) of a candidate applying for a job position.

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Design and Implementation of an innovative framework for Speech Emotion Recognition

[English] With this article I want to publish my thesis work in Human-Computer Interaction, for the Master’s Degree in Computer Systems Engineering at Polytechnic of Bari.  The entire thesis has been written in Italian. For this reason, I have prepared a English brief summary explaining all materials, methods, results and conclusions. Use the following link […]

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First Progresses in Evaluation of Resonance in Staff Selection through Speech Emotion Recognition

Authors: Vitoantonio Bevilacqua, Pietro Guccione, Luigi Mascolo, Pasquale Pio Pazienza, Angelo Antonio Salatino, Michele Pantaleo. Abstract: Speech Emotion Recognition (SER) is a hot research topic in the field of Human Computer Interaction. In this paper a SER system is developed with the aim of providing a classification of the “state of interest” of a human subject involved in a job […]

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