Advances in Neural Networks: Computational and Theoretical Issues

  • Simone Bassis
  • Anna Esposito
  • Francesco Carlo Morabito

Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 37)

Table of contents

  1. Front Matter
    Pages 1-10
  2. Introductory Chapter

    1. Front Matter
      Pages 1-1
    2. Anna Esposito, Simone Bassis, Francesco Carlo Morabito
      Pages 3-8
  3. Models

    1. Front Matter
      Pages 9-9
    2. Amedeo Buonanno, Francesco A. N. Palmieri
      Pages 11-20
    3. Massimo Panella, Luca Liparulo, Andrea Proietti
      Pages 21-29
    4. Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
      Pages 31-38
    5. Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
      Pages 39-47
    6. Alessandro Cristini, Mario Salerno, Gianluca Susi
      Pages 49-60
    7. Stefano Rovetta, Francesco Masulli
      Pages 61-72
  4. Pattern Recognition

    1. Front Matter
      Pages 73-73
    2. Francesco Camastra, Angelo Ciaramella, Alessio Placitelli, Antonino Staiano
      Pages 75-82
    3. Anas Belahcen, Monica Bianchini, Franco Scarselli
      Pages 83-91
    4. Hassan Mahmoud, Francesco Masulli, Marina Resta, Stefano Rovetta, Amr Abdulatif
      Pages 93-101
    5. Emanuel Di Nardo, Lucia Maddalena, Alfredo Petrosino
      Pages 103-117
  5. Signal Processing

    1. Front Matter
      Pages 119-119
    2. Domenico Labate, Fabio La Foresta, Giuseppe Morabito, Isabella Palamara, Francesco Carlo Morabito
      Pages 121-128
    3. Domenico Labate, Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito
      Pages 129-136
    4. Luca D’Auria, Antonietta M. Esposito, Zaccaria Petrillo, Agata Siniscalchi
      Pages 137-147
    5. Raffaele Parisi, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
      Pages 149-157

About this book

Introduction

This book collects research works that exploit neural networks and machine learning techniques from a multidisciplinary perspective. Subjects covered include theoretical, methodological and computational topics which are grouped together into chapters devoted to the discussion of novelties and innovations related to the field of Artificial Neural Networks as well as the use of neural networks for applications, pattern recognition, signal processing, and special topics such as the detection and recognition of multimodal emotional expressions and daily cognitive functions, and  bio-inspired memristor-based networks. 
Providing insights into the latest research interest from a pool of international experts coming from different research fields, the volume becomes valuable to all those with any interest in a holistic approach to implement believable, autonomous, adaptive, and context-aware Information Communication Technologies.

Keywords

23rd Workshop Italian Neural Networks Computational Intelligence Machine Learning Neural Networks SIREN Proceedings Social Signal Processing

Editors and affiliations

  • Simone Bassis
    • 1
  • Anna Esposito
    • 2
  • Francesco Carlo Morabito
    • 3
  1. 1.Computer Science DepartmentUniversity of MilanoMilanoItaly
  2. 2.Dipartimento di Psicologia & Vietri sul Mare (SA)Seconda Universitá di Napoli, International Institute for Advanced Scientific Studies (IIASS)CasertaItaly
  3. 3.Department of Civil, Environmental, Energy, and Material EngineeringUniversity Mediterranea of Reggio CalabriaReggio CalabriaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-18164-6
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-18163-9
  • Online ISBN 978-3-319-18164-6
  • Series Print ISSN 2190-3018
  • Series Online ISSN 2190-3026
  • About this book