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Advances in Neural Networks: Computational and Theoretical Issues

  • Book
  • © 2015

Overview

Editors:
  1. Simone Bassis

    1. Computer Science Department, University of Milano, Milano, Italy

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  2. Anna Esposito

    1. Dipartimento di Psicologia & Vietri sul Mare (SA), Seconda Universitá di Napoli, International Institute for Advanced Scientific Studies (IIASS), Caserta, Italy

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  3. Francesco Carlo Morabito

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

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  • Recent research on Neural Networks Models and Applications
  • Proceedings of the 24th Workshop of the Italian Neural Networks Society (SIREN) held at May 15 - 16, Vietri sul Mare, Salerno, Italy
  • Presents a multidisciplinary forum on psychological and cognitive theories for modelling human behaviours

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

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Table of contents (39 chapters)

  1. Front Matter

    Pages 1-10
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  2. Introductory Chapter

    1. Front Matter

      Pages 1-1
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    2. Recent Advances of Neural Networks Models and Applications: An Introduction

      • Anna Esposito, Simone Bassis, Francesco Carlo Morabito
      Pages 3-8

  3. Models

    1. Front Matter

      Pages 9-9
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    2. Simulink Implementation of Belief Propagation in Normal Factor Graphs

      • Amedeo Buonanno, Francesco A. N. Palmieri
      Pages 11-20

    3. Time Series Analysis by Genetic Embedding and Neural Network Regression

      • Massimo Panella, Luca Liparulo, Andrea Proietti
      Pages 21-29

    4. Significance-Based Pruning for Reservoir’s Neurons in Echo State Networks

      • Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
      Pages 31-38

    5. Online Selection of Functional Links for Nonlinear System Identification

      • Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
      Pages 39-47

    6. A Continuous-Time Spiking Neural Network Paradigm

      • Alessandro Cristini, Mario Salerno, Gianluca Susi
      Pages 49-60

    7. Online Spectral Clustering and the Neural Mechanisms of Concept Formation

      • Stefano Rovetta, Francesco Masulli
      Pages 61-72

  4. Pattern Recognition

    1. Front Matter

      Pages 73-73
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    2. Machine Learning-Based Web Documents Categorization by Semantic Graphs

      • Francesco Camastra, Angelo Ciaramella, Alessio Placitelli, Antonino Staiano
      Pages 75-82

    3. Web Spam Detection Using Transductive(Inductive Graph Neural Networks

      • Anas Belahcen, Monica Bianchini, Franco Scarselli
      Pages 83-91

    4. Hubs and Communities Identification in Dynamical Financial Networks

      • Hassan Mahmoud, Francesco Masulli, Marina Resta, Stefano Rovetta, Amr Abdulatif
      Pages 93-101

    5. Video-Based Access Control by Automatic License Plate Recognition

      • Emanuel Di Nardo, Lucia Maddalena, Alfredo Petrosino
      Pages 103-117

  5. Signal Processing

    1. Front Matter

      Pages 119-119
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    2. On the Use of Empirical Mode Decomposition (EMD) for Alzheimer’s Disease Diagnosis

      • Domenico Labate, Fabio La Foresta, Giuseppe Morabito, Isabella Palamara, Francesco Carlo Morabito
      Pages 121-128

    3. Effects of Artifacts Rejection on EEG Complexity in Alzheimer’s Disease

      • Domenico Labate, Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito
      Pages 129-136

    4. Denoising Magnetotelluric Recordings Using Self-Organizing Maps

      • Luca D’Auria, Antonietta M. Esposito, Zaccaria Petrillo, Agata Siniscalchi
      Pages 137-147

    5. Integration of Audio and Video Clues for Source Localization by a Robotic Head

      • Raffaele Parisi, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
      Pages 149-157
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Keywords

About this book

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.

Editors and Affiliations

  • Computer Science Department, University of Milano, Milano, Italy

    Simone Bassis

  • Dipartimento di Psicologia & Vietri sul Mare (SA), Seconda Universitá di Napoli, International Institute for Advanced Scientific Studies (IIASS), Caserta, Italy

    Anna Esposito

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

    Francesco Carlo Morabito

Bibliographic Information

  • Book Title: Advances in Neural Networks: Computational and Theoretical Issues

  • Editors: Simone Bassis, Anna Esposito, Francesco Carlo Morabito

  • Series Title: Smart Innovation, Systems and Technologies

  • DOI: https://doi.org/10.1007/978-3-319-18164-6

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-18163-9Published: 25 June 2015

  • Softcover ISBN: 978-3-319-38334-7Published: 17 October 2016

  • eBook ISBN: 978-3-319-18164-6Published: 05 June 2015

  • Series ISSN: 2190-3018

  • Series E-ISSN: 2190-3026

  • Edition Number: 1

  • Number of Pages: X, 402

  • Number of Illustrations: 59 b/w illustrations, 89 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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