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Progresses in Artificial Intelligence and Neural Systems

  • Provides an overview of the recent advances in artificial intelligence and neural nets

  • Discusses the real challenge in the context of the emotional characterization of humans

  • Serves as a reference resource for researchers and practitioners in academia and industry

Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 184)

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Table of contents (52 chapters)

  1. Front Matter

    Pages i-xviii
  2. Introduction

    1. Front Matter

      Pages 1-1
    2. Towards Socially and Emotionally Believable ICT Interfaces

      • Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero
      Pages 3-7
  3. Neural Networks and Related Applications

    1. Front Matter

      Pages 9-9
    2. The Simplification Conspiracy

      • Bruno Apolloni, Aamna Al Shehhi, Ernesto Damiani
      Pages 11-23
    3. Passengers’ Emotions Recognition to Improve Social Acceptance of Autonomous Driving Vehicles

      • Jacopo Sini, Antonio Costantino Marceddu, Massimo Violante, Riccardo Dessì
      Pages 25-32
    4. Road Type Classification Using Acoustic Signals: Deep Learning Models and Real-Time Implementation

      • Giovanni Pepe, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini, Luca Cattani
      Pages 33-43
    5. Emotional Content Comparison in Speech Signal Using Feature Embedding

      • Stefano Rovetta, Zied Mnasri, Francesco Masulli
      Pages 45-55
    6. Efficient Data Augmentation Using Graph Imputation Neural Networks

      • Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
      Pages 57-66
    7. Flexible Generative Adversarial Networks with Non-parametric Activation Functions

      • Eleonora Grassucci, Simone Scardapane, Danilo Comminiello, Aurelio Uncini
      Pages 67-77
    8. Low-Power Hardware Accelerator for Sparse Matrix Convolution in Deep Neural Network

      • Erik Anzalone, Maurizio Capra, Riccardo Peloso, Maurizio Martina, Guido Masera
      Pages 79-89
    9. Use of Deep Learning for Automatic Detection of Cracks in Tunnels

      • Vittorio Mazzia, Fred Daneshgaran, Marina Mondin
      Pages 91-101
    10. SoCNNet: An Optimized Sobel Filter Based Convolutional Neural Network for SEM Images Classification of Nanomaterials

      • Cosimo Ieracitano, Annunziata Paviglianiti, Nadia Mammone, Mario Versaci, Eros Pasero, Francesco Carlo Morabito
      Pages 103-113
    11. Intent Classification in Question-Answering Using LSTM Architectures

      • Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo, Armando Ospedale, Francesco A. N. Palmieri
      Pages 115-124
    12. A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images

      • A. Mascolini, S. Puzzo, G. Incatasciato, F. Ponzio, E. Ficarra, S. Di Cataldo
      Pages 125-136
    13. An Analysis of Word2Vec for the Italian Language

      • Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo, Armando Ospedale, Francesco A. N. Palmieri, Gianfranco Fedele
      Pages 137-146
    14. On the Role of Time in Learning

      • Alessandro Betti, Marco Gori
      Pages 147-153
    15. Preliminary Experiments on Thermal Emissivity Adjustment for Face Images

      • Marcos Faundez-Zanuy, Xavier Font-Aragones, Jiri Mekyska
      Pages 155-161
    16. Psychological Stress Detection by 2D and 3D Facial Image Processing

      • Livia Lombardi, Federica Marcolin
      Pages 163-173
    17. Unsupervised Geochemical Analysis of the Eruptive Products of Ischia, Vesuvius and Campi Flegrei

      • Antonietta M. Esposito, Giorgio Alaia, Flora Giudicepietro, Lucia Pappalardo, Massimo D’Antonio
      Pages 175-184

About this book

This book provides an overview of the current advances in artificial intelligence and neural nets. Artificial intelligence (AI) methods have shown great capabilities in modelling, prediction and recognition tasks supporting human–machine interaction.


At the same time, the issue of emotion has gained increasing attention due to its relevance in achieving human-like interaction with machines. The real challenge is taking advantage of the emotional characterization of humans’ interactions to make computers interfacing with them emotionally and socially credible.


The book assesses how and to what extent current sophisticated computational intelligence tools might support the multidisciplinary research on the characterization of appropriate system reactions to human emotions and expressions in interactive scenarios. Discussing the latest recent research trends, innovative approaches and future challenges in AI from interdisciplinary perspectives, it is a valuable resource for researchers and practitioners in academia and industry. 



Keywords

  • Machine Leaning Methods
  • User Modelling
  • Neural Networks
  • Artificial Intelligence
  • Situated Human-Computer Interaction (HCI)
  • Daily Life Activities
  • Biometric Data
  • Health & Well Being
  • Social Signal Processing
  • Social behaviour and Context
  • Complex Human-Computer Interfaces

Editors and Affiliations

  • Dipartimento di Psicologia and IIASS, Università della Campania “Luigi Vanvitelli”, Caserta, Italy

    Anna Esposito

  • Fundació Tecnocampus, Pompeu Fabra University, Mataró, Spain

    Marcos Faundez-Zanuy

  • Department of Civil, Environmental, Energy, and Material Engineering, University Mediterranea of Reggio Calabria, Reggio Calabria, Italy

    Francesco Carlo Morabito

  • Laboratorio di Neuronica, Dipartimento Elettronica e Telecomunicazioni , Politecnico di Torino, Torino, Italy

    Eros Pasero

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. 


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, environmental and automotive applications, and neural networks for sensor signals processing. Prof. 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.


Bibliographic Information

Buy it now

Buying options

eBook USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access