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Smart Innovation, Systems and Technologies Volume 184 Series Editors Robert J. Howlett, Bournemouth University and KES International, Shoreham-by-sea, UK Lakhmi C. Jain, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology Sydney, Sydney, NSW, Australia
The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. Volumes on interdisciplinary research combining two or more of these areas is particularly sought. The series covers systems and paradigms that employ knowledge and intelligence in a broad sense. Its scope is systems having embedded knowledge and intelligence, which may be applied to the solution of world problems in industry, the environment and the community. It also focusses on the knowledge-transfer methodologies and innovation strategies employed to make this happen effectively. The combination of intelligent systems tools and a broad range of applications introduces a need for a synergy of disciplines from science, technology, business and the humanities. The series will include conference proceedings, edited collections, monographs, hand- books, reference books, and other relevant types of book in areas of science and technology where smart systems and technologies can offer innovative solutions. High quality content is an essential feature for all book proposals accepted for the series. It is expected that editors of all accepted volumes will ensure that contributions are subjected to an appropriate level of reviewing process and adhere to KES quality principles. ** Indexing: The books of this series are submitted to ISI Proceedings, EI-Compendex, SCOPUS, Google Scholar and Springerlink ** More information about this series at http://www.springer.com/series/8767
Anna Esposito Marcos Faundez-Zanuy
• •
Francesco Carlo Morabito Eros Pasero
•
Editors
Progresses in Artificial
Intelligence and Neural
Systems
123Editors
Anna Esposito Marcos Faundez-Zanuy
Dipartimento di Psicologia and IIASS Fundació Tecnocampus
Università della Campania “Luigi Pompeu Fabra University
Vanvitelli” Mataró, Barcelona, Spain
Caserta, Italy
Eros Pasero
Francesco Carlo Morabito Laboratorio di Neuronica, Dipartimento
Department of Civil, Environmental, Elettronica e Telecomunicazioni
Energy, and Material Engineering Politecnico di Torino
University Mediterranea of Reggio Calabria Torino, Italy
Reggio Calabria, Italy
ISSN 2190-3018 ISSN 2190-3026 (electronic)
Smart Innovation, Systems and Technologies
ISBN 978-981-15-5092-8 ISBN 978-981-15-5093-5 (eBook)
https://doi.org/10.1007/978-981-15-5093-5
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore
Pte Ltd. 2021
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether
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The use of general descriptive names, registered names, trademarks, service marks, etc. in this
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The publisher, the authors and the editors are safe to assume that the advice and information in this
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SingaporeProgram Committee
Amorese Terry, Università della Campania “Luigi Vanvitelli” and IIASS
Apolloni Bruno, Università di Milano
Buonanno Michele, Università della Campania “Luigi Vanvitelli” and IIASS
Buono Carmela, Università della Campania “Luigi Vanvitelli” and IIASS
Cordasco Gennaro, Università della Campania “Luigi Vanvitelli” and IIASS
Cuciniello Marialucia, Università della Campania “Luigi Vanvitelli” and IIASS
Damasevicius Robertas, Kaunas University of Technology
Esposito Anna, Università della Campania “Luigi Vanvitelli” and IIASS
Esposito Antonietta Maria, Osservatorio Vesuviano sezione di Napoli
Esposito Marilena, International Institute for Advanced Scientific Studies (IIASS)
Faundez-Zanuy Marcos, Tecnocampus Universitat Pompeu Fabra
Gabrielli Leonardo, Università Politecnica delle Marche
Koutsombogera Maria, Trinity College Dublin
Cosimo Ieracitano, Università degli Studi Mediterranea Reggio Calabria
Maiorana Emanuele, Roma TRE University
Mekyska Jiri, Brno University
Scarpiniti Michele, Università di Roma “La Sapienza”
Schaust Jonathan, University of Applied Science in Koblenz
Senese Vincenzo Paolo, Università degli Studi della Campania “Luigi Vanvitelli”
Severini Marco, Università Politecnica delle Marche
Squartini Stefano, Università Politecnica delle Marche
Troncone Alda, Università degli Studi della Campania “Luigi Vanvitelli” and
IIASS
Tschacher Wolfgang, Universität Bern
Uncini Aurelio, Università di Roma “La Sapienza”
Vitabile Salvatore, Università degli Studi di Palermo
Vogel Carl, Trinity College Dublin
vvi Program Committee Sponsoring Institutions International Institute for Advanced Scientific Studies (IIASS) of Vietri S/M, Italy Department of Psychology, Università della Campania “Luigi Vanvitelli”, Italy Provincia di Salerno, Italy Comune di Vietri sul Mare, Salerno, Italy International Neural Network Society (INNS) Università Mediterranea di Reggio Calabria, Italy
Preface
This book provides an overview of the current progress in Artificial Intelligence and
Neural Nets. Artificial Intelligence and Neural Nets have shown great capabilities in
modeling, prediction, and recognition tasks for social signal processing and big data
mining. The adoption of such intelligent and advanced computational tools has
achieved a mature degree of understanding in many application areas, in particular,
in complex multimodal systems supporting human–machine or human–human
interaction, a field that is broadly addressed by the scientific communities and has a
strong commercial impact.
At the same time, the emotional issue, i.e., the need to make ICT interfaces
emotionally and socially believable, has gained increasing attention in the imple-
mentation of such complex systems due to the relevance of emotional aspects in
everyday human functional abilities (like cognitive processes, perception, learning,
communication, and even “rational” decision-making). The real challenge is taking
advantage of the emotional characterization of humans’ emotions to make the
computers interfacing with them more natural and therefore useful.
The volume proposed assesses to what extent and how sophisticated computa-
tional intelligence tools developed so far might support the multidisciplinary
research on the characterization of appropriate systems’ reactions to human emo-
tions and expressions in interactive scenarios.
Interdisciplinary aspects are taken into account, and research is proposed from
different fields including mathematics, computer vision, speech analysis and syn-
thesis, machine learning, signal processing, telecommunication, human–computer
interaction, psychology, anthropology, sociology, neural networks, machine
learning, and advanced sensing in order to provide contributions on the most recent
trends, innovative approaches, and future challenges.
The contributions reported in the book cover different scientific areas and are
grouped according to the thematic classification reported below; even though these
areas are closely connected in the themes, they afford and provide fundamental
insights for the cross-fertilization of different disciplines:
viiviii Preface • Neural Networks and Related Applications, • Neural Networks and Pattern Recognition in Medicine, • Computational and Methodological Intelligence in Economics and Finance, • Advanced Smart Multimodal Data Processing, and • Dynamics of Signal Exchanges and Empathic Systems. The chapters composing this book were first discussed at the international workshop on neural networks (WIRN 2019) held in Vietri Sul Mare from 12 to 14 June 2019, in regular and special sessions. The workshop hosted four special sessions. The first special session on Computational and Methodological Intelligence in Economics and Finance organized by Marco Corazza includes contributions discussing of bio-inspired optimizers used to solve complex financial/economic decision-making problems. The second special session on Neural Networks and Pattern Recognition in Medicine organized by Giansalvo Cirrincione, Vitoantonio Bevilacqua, reports on the most recent AI techniques on the processing of biomedical images, medical classification, and gene expression analysis. The third special session on Advanced Smart Multimodal Data Processing organized by Francesco Camastra, Angelo Ciaramella, Michele Scarpiniti, and Antonino Staiano collects contributions on recent research advances and the state-of-the-art methods in the fields of Soft Computing, Machine Learning, and Data Mining methodologies. The fourth special session on Dynamics of Signal Exchanges and Empathic System gives emphasis to contributions devoted to the implementation of Empathic Systems, considering that empathy is central for successful social interactional exchanges. The session organized by Anna Esposito, Anna Sorrentino, Antonietta M. Esposito, Gennaro Cordasco, Nelson Mauro Maldonato, Francesco Carlo Morabito, Maria Ines Torres, Stephan Schlögl, and Zoraida Callejas Carrión was sponsored by two H2020 funded projects: Empathic (empathic-project.eu/) and “Menhir” (menhir-project.eu/), aiming to implement socially and emotionally believable automatic systems, the Italian Government funded project SIROBOTICS (https://www.istitutomarino.it/project/si-robotics- social-robotics-for-active-and-healthy-ageing/) aiming to implement social robot assistants for supporting elderly everyday independent living, and the ANDROIDS project funded by the program V:ALERE 2019 Università della Campania “L. Vanvitelli”, D. R. 906 del 4/10/2019, prot. n. 157264,17/10/2019. This particular special session was also intended to celebrate professor Anna Costanza Baldry, Ufficiale al Merito della Repubblica Italiana and Full Professor of Social Psychology at Department of Psychology, Università della Campania “Luigi Vanvitelli”. Her unexpected loss left a huge emptiness and shattered all of her colleagues and friends. Her research topics were about fighting violence against women. For her, empathy was a blessing since it suggested the right way to help abused women, and a curse since empathy forced her to share their suffering. The scientists contributing to this book are specialists in their respective disci- plines, and through their contributions have made this volume a significant scien- tific effort. The coordination and production of this book have been brilliantly conducted by the Springer Project Coordinator Mr. Ramamoorthy Rajangam, the
Preface ix
Springer Executive Editor Dr. Thomas Ditzinger, and the Editor Assistant
Mr. Holger Schaepe. They are the recipients of our deepest appreciation. This
initiative has been skillfully supported by the Editors in chief of the Springer series
Smart Innovation, Systems and Technologies, Professors Jain Lakhmi C. and
Howlett Robert James, to whom goes our deepest gratitude.
The Editors
Caserta, Italy Anna Esposito
Mataró, Spain Marcos Faundez-Zanuy
Reggio Calabria, Italy Francesco Carlo Morabito
Torino, Italy Eros PaseroContents
Introduction
Towards Socially and Emotionally Believable ICT Interfaces . . . . . . . . 3
Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito,
and Eros Pasero
Neural Networks and Related Applications
The Simplification Conspiracy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Bruno Apolloni, Aamna Al Shehhi, and Ernesto Damiani
Passengers’ Emotions Recognition to Improve Social Acceptance
of Autonomous Driving Vehicles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Jacopo Sini, Antonio Costantino Marceddu, Massimo Violante,
and Riccardo Dessì
Road Type Classification Using Acoustic Signals: Deep Learning
Models and Real-Time Implementation . . . . . . . . . . . . . . . . . . . . . . . . . 33
Giovanni Pepe, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini,
and Luca Cattani
Emotional Content Comparison in Speech Signal Using Feature
Embedding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
Stefano Rovetta, Zied Mnasri, and Francesco Masulli
Efficient Data Augmentation Using Graph Imputation Neural
Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57
Indro Spinelli, Simone Scardapane, Michele Scarpiniti, and Aurelio Uncini
Flexible Generative Adversarial Networks with Non-parametric
Activation Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67
Eleonora Grassucci, Simone Scardapane, Danilo Comminiello,
and Aurelio Uncini
xixii Contents Low-Power Hardware Accelerator for Sparse Matrix Convolution in Deep Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79 Erik Anzalone, Maurizio Capra, Riccardo Peloso, Maurizio Martina, and Guido Masera Use of Deep Learning for Automatic Detection of Cracks in Tunnels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91 Vittorio Mazzia, Fred Daneshgaran, and Marina Mondin SoCNNet: An Optimized Sobel Filter Based Convolutional Neural Network for SEM Images Classification of Nanomaterials . . . . . . . . . . . 103 Cosimo Ieracitano, Annunziata Paviglianiti, Nadia Mammone, Mario Versaci, Eros Pasero, and Francesco Carlo Morabito Intent Classification in Question-Answering Using LSTM Architectures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo, Armando Ospedale, and Francesco A. N. Palmieri A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125 A. Mascolini, S. Puzzo, G. Incatasciato, F. Ponzio, E. Ficarra, and S. Di Cataldo An Analysis of Word2Vec for the Italian Language . . . . . . . . . . . . . . . . 137 Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo, Armando Ospedale, Francesco A. N. Palmieri, and Gianfranco Fedele On the Role of Time in Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 Alessandro Betti and Marco Gori Preliminary Experiments on Thermal Emissivity Adjustment for Face Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155 Marcos Faundez-Zanuy, Xavier Font-Aragones, and Jiri Mekyska Psychological Stress Detection by 2D and 3D Facial Image Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163 Livia Lombardi and Federica Marcolin Unsupervised Geochemical Analysis of the Eruptive Products of Ischia, Vesuvius and Campi Flegrei . . . . . . . . . . . . . . . . . . . . . . . . . . 175 Antonietta M. Esposito, Giorgio Alaia, Flora Giudicepietro, Lucia Pappalardo, and Massimo D’Antonio A Novel System for Multi-level Crohn’s Disease Classification and Grading Based on a Multiclass Support Vector Machine . . . . . . . . 185 S. Franchini, M. C. Terranova, G. Lo Re, M. Galia, S. Salerno, M. Midiri, and S. Vitabile
Contents xiii Preliminary Study on the Behavioral Traits Obtained from Signatures and Writing Using Deep Learning Algorithms . . . . . . . . . . . . . . . . . . . . 199 Xavier Font, Angel Delgado, and Marcos Faundez-Zanuy An Ensemble Based Classification Approach for Persian Sentiment Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207 Kia Dashtipour, Cosimo Ieracitano, Francesco Carlo Morabito, Ali Raza, and Amir Hussain Insects Image Classification Through Deep Convolutional Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217 Francesco Visalli, Teresa Bonacci, and N. Alberto Borghese Neural Networks and Pattern Recognition in Medicine A Nonlinear Autoencoder for Kinematic Synergy Extraction from Movement Data Acquired with HTC Vive Trackers . . . . . . . . . . . 231 Irio De Feudis, Domenico Buongiorno, Giacomo Donato Cascarano, Antonio Brunetti, Donato Micele, and Vitoantonio Bevilacqua Neural Feature Extraction for the Analysis of Parkinsonian Patient Handwriting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243 Vincenzo Randazzo, Giansalvo Cirrincione, Annunziata Paviglianiti, Eros Pasero, and Francesco Carlo Morabito Discovering Hierarchical Neural Archetype Sets . . . . . . . . . . . . . . . . . . 255 Gabriele Ciravegna, Pietro Barbiero, Giansalvo Cirrincione, Giovanni Squillero, and Alberto Tonda 1-D Convolutional Neural Network for ECG Arrhythmia Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269 Jacopo Ferretti, Vincenzo Randazzo, Giansalvo Cirrincione, and Eros Pasero Understanding Abstraction in Deep CNN: An Application on Facial Emotion Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281 Francesca Nonis, Pietro Barbiero, Giansalvo Cirrincione, Elena Carlotta Olivetti, Federica Marcolin, and Enrico Vezzetti Computational and Methodological Intelligence in Economics and Finance Exploration and Exploitation in Optimizing a Basic Financial Trading System: A Comparison Between FA and PSO Algorithms . . . . . . . . . . . 293 Claudio Pizzi, Irene Bitto, and Marco Corazza SDOWA: A New OWA Operator for Decision Making . . . . . . . . . . . . . 305 Marta Cardin and Silvio Giove
xiv Contents A Fuzzy Approach to Long-Term Care Benefit Eligibility; an Italian Case-Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317 Ludovico Carrino and Silvio Giove On Fuzzy Confirmation Measures of Fuzzy Association Rules . . . . . . . . 331 Emilio Celotto, Andrea Ellero, and Paola Ferretti Q-Learning-Based Financial Trading: Some Results and Comparisons . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343 Marco Corazza Financial Literacy and Generation Y: Relationships Between Instruction Level and Financial Choices . . . . . . . . . . . . . . . . . . . . . . . . 357 Iuliana Bitca, Andrea Ellero, and Paola Ferretti Advanced Smart Multimodal Data Processing—Dedicated to Alfredo Petrosino A CNN Approach for Audio Classification in Construction Sites . . . . . . 371 Alessandro Maccagno, Andrea Mastropietro, Umberto Mazziotta, Michele Scarpiniti, Yong-Cheol Lee, and Aurelio Uncini Fault Detection in a Blower by Machine Learning-Based Vibrational Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 Vincenzo Mariano Scarrica, Francesco Camastra, Gianluca Diodati, and Vincenzo Quaranta Quaternion Widely Linear Forecasting of Air Quality . . . . . . . . . . . . . . 393 Michele Scarpiniti, Danilo Comminiello, Federico Muciaccia, and Aurelio Uncini Non-linear PCA Neural Network for EEG Noise Reduction in Brain-Computer Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405 Andrea Cimmino, Angelo Ciaramella, Giovanni Dezio, and Pasquale Junior Salma Spam Detection by Machine Learning-Based Content Analysis . . . . . . . 415 Daniele Davino, Francesco Camastra, Angelo Ciaramella, and Antonino Staiano A Multimodal Deep Network for the Reconstruction of T2W MR Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 423 Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, and Aurelio Uncini
Contents xv Dynamics of Signal Exchanges and Empathic Systems—Dedicated to Anna Costanza Baldry Facial Emotion Recognition Skills and Measures in Children and Adolescents with Attention Deficit Hyperactivity Disorder (ADHD) . . . . 435 Aliki Economides, Yiannis Laouris, Massimiliano Conson, and Anna Esposito The Effect of Facial Expressions on Interpersonal Space: A Gender Study in Immersive Virtual Reality . . . . . . . . . . . . . . . . . . . . . . . . . . . . 477 Mariachiara Rapuano, Filomena Leonela Sbordone, Luigi Oreste Borrelli, Gennaro Ruggiero, and Tina Iachini Signals of Threat in Persons Exposed to Natural Disasters . . . . . . . . . . 487 Massimiliano Conson, Isa Zappullo, Chiara Baiano, Laura Sagliano, Carmela Finelli, Gennaro Raimo, Roberta Cecere, Maria Vela, Monica Positano, and Francesca Pistoia Adults Responses to Infant Faces and Cries: Consistency Between Explicit and Implicit Measures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 495 Vincenzo Paolo Senese, Carla Nasti, Mario Pezzella, Roberto Marcone, and Massimiliano Conson The Influence of Systemizing, Empathizing and Autistic Traits on Visuospatial Abilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 505 Massimiliano Conson, Chiara Baiano, Isa Zappullo, Monica Positano, Gennaro Raimo, Carmela Finelli, Maria Vela, Roberta Cecere, and Vincenzo Paolo Senese Investigating Perceptions of Social Intelligence in Simulated Human-Chatbot Interactions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 513 Natascha Mariacher, Stephan Schlögl, and Alexander Monz Linguistic Evidence of Ageing in the Pratchett Canon . . . . . . . . . . . . . . 531 Carl Vogel M-MS: A Multi-Modal Synchrony Dataset to Explore Dyadic Interaction in ASD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 543 Gabriele Calabrò, Andrea Bizzego, Stefano Cainelli, Cesare Furlanello, and Paola Venuti Computational Methods for the Assessment of Empathic Synchrony . . . 555 Andrea Bizzego, Giulio Gabrieli, Atiqah Azhari, Peipei Setoh, and Gianluca Esposito
xvi Contents The Structuring of the Self Through Relational Patterns of Movement Using Data from the Microsoft Kinect 2 to Study Baby-Caregiver Interaction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 565 Alfonso Davide Di Sarno, Teresa Longobardi, Enrico Moretto, Giuseppina Di Leva, Irene Fabbricino, Lucia Luciana Mosca, Valeria Cioffi, and Raffaele Sperandeo eLORETA Active Source Reconstruction Applied to HD-EEG in Alzheimer’s Disease . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 575 Serena Dattola, Giuseppina Inuso, Nadia Mammone, Lilla Bonanno, Simona De Salvo, Francesco Carlo Morabito, and Fabio La Foresta The Nodes of Treatment: A Pilot Study of the Patient-Therapist Relationship Through the Theory of Complex Systems . . . . . . . . . . . . . 585 Raffaele Sperandeo, Lucia Luciana Mosca, Anastasiya Galchenko, Enrico Moretto, Alfonso Davide Di Sarno, Teresa Longobardi, Daniela Iennaco, Valeria Cioffi, Anna Esposito, and Nelson Mauro Maldonato Modal Structure and Altered States of Consciousness . . . . . . . . . . . . . . 595 Nelson Mauro Maldonato, Mario Bottone, Benedetta Muzii, Donatella di Corrado, Raffaele Sperandeo, Simone D’Andrea, and Anna Esposito The Desiring Algorithm. The Sex Appeal of the Inorganic . . . . . . . . . . 607 Nelson Mauro Maldonato, Paolo Valerio, Mario Bottone, Raffaele Sperandeo, Cristiano Scandurra, Ciro Punzo, Benedetta Muzii, Simone D’Andrea, and Anna Eposito
About the Editors
Anna Esposito received her Laurea degree summa cum laude in Information
Technology and Computer Science from Salerno University (1989), and her Ph.D.
degree in Applied Mathematics and Computer Science from Napoli University
Federico II (1995) with a thesis developed at MIT, Boston, USA. She was a postdoc
at IIASS, Lecturer at Salerno University Department of Physics (1996–2000), and
Research Professor (2000–2002) at WSU Department of Computer Science and
Engineering, Ohio, USA. She is currently an Associate Professor at Campania
University L. Vanvitelli. She has published over 240 peer-reviewed papers in
journals, books, and conference proceedings.
Marcos Faundez-Zanuy received his B.Sc. degree (1993) and Ph.D. (1998) from
the Polytechnic University of Catalunya. He is a Full Professor at ESUP
Tecnocampus Mataro, where he also heads the Signal Processing Group. His
research focuses on biometrics applied to security and health. He was the initiator
and Chairman of the EU COST action 277 “Nonlinear speech processing” and
secretary of COST action 2102 “Cross-Modal Analysis of Verbal and Non-verbal
Communication”. He is the author of over 50 papers indexed in ISI Journal citation
report, over 100 conference papers and several books, and is the PI of 10 national
and EU funded projects.
Francesco Carlo Morabito joined the University of Reggio Calabria, Italy, in
1989, and has been a Full Professor of Electrical Engineering there since 2001. He
served as President of the Electronic Engineering Course, a member of the
University’s Inner Evaluation Committee, Dean of the Faculty of Engineering and
Deputy Rector, and is currently Vice-Rector for Internationalization. He is a
member of the Italian Society of Electrical Engineering’s Steering Committee.
xviixviii About the Editors Eros Pasero has been a Professor of Electronics at Politecnico of Turin since 1991. He was a visiting Professor at ICSI Berkeley (1991), Tongji University Shanghai (2011, 2015), and Tashkent Politechic University, Uzbekistan. His interests include artificial neural networks and electronic sensors. He heads the Neuronica Lab, which develops wired and wireless sensors for biomedical, envi- ronmental and automotive applications, and neural networks for sensor signals processing. Professor Pasero is President of the Italian Society for Neural Networks (SIREN) and was General Chair of IJCNN2000, SIRWEC2006, and WIRN 2015. He has received several awards and holds 5 international patents, and is the author of over 100 international publications.
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