Skip to main content
SpringerLink
Log in
Book cover

Advances in Neural Networks

Computational Intelligence for ICT

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Simone Bassis

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Anna Esposito

    1. Department of Psychology, Seconda Università di Napoli and IIASS, Caserta, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Francesco Carlo Morabito

    1. Dept. of Info., Mathematics, Ele & Trans, Univ. Mediterranea of Reggio Calabria, Reggio Calabria, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Eros Pasero

    1. Dip. Elettronica e Telecomunicazioni, Politecnico di Torino, Torino, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Dedicated to recent advances in computational and theoretical issues of artificial intelligence methods
  • With special emphasis on robotic applications, embedded systems, ICT computational and theoretical methods for psychological and neurological diseases
  • Written by experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 54)

Included in the following conference series:

Conference proceedings info: WIRN 2015.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 219.99
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

Licence this eBook for your library

Institutional subscriptions

Table of contents (52 papers)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Introductory Chapter

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Some Notes on Computational and Theoretical Issues in Artificial Intelligence and Machine Learning

      • Anna Esposito, Simone Bassis, Francesco Carlo Morabito, Eros Pasero
      Pages 3-12

  3. Machine Learning

    1. Front Matter

      Pages 13-13
      Download chapter PDF

    2. Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique

      • Leonardo Rundo, Carmelo Militello, Salvatore Vitabile, Giorgio Russo, Pietro Pisciotta, Francesco Marletta et al.
      Pages 15-26

    3. Machine Learning Based Data Mining for Milky Way Filamentary Structures Reconstruction

      • Giuseppe Riccio, Stefano Cavuoti, Eugenio Schisano, Massimo Brescia, Amata Mercurio, Davide Elia et al.
      Pages 27-36

    4. 3-D Hand Pose Estimation from Kinect’s Point Cloud Using Appearance Matching

      • Pasquale Coscia, Francesco A. N. Palmieri, Francesco Castaldo, Alberto Cavallo
      Pages 37-45

    5. Frequency-Domain Adaptive Filtering in Hypercomplex Systems

      • Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
      Pages 47-56

    6. Bayesian Clustering on Images with Factor Graphs in Reduced Normal Form

      • Amedeo Buonanno, Luigi di Grazia, Francesco A. N. Palmieri
      Pages 57-65

    7. Selection of Negative Examples for Node Label Prediction Through Fuzzy Clustering Techniques

      • Marco Frasca, Dario Malchiodi
      Pages 67-76

    8. Recent Advances on Distributed Unsupervised Learning

      • Antonello Rosato, Rosa Altilio, Massimo Panella
      Pages 77-86

    9. A Rule Based Recommender System

      • Bruno Apolloni, Simone Bassis, Marco Mesiti, Stefano Valtolina, Francesco Epifania
      Pages 87-96

    10. Learning from Nowhere

      • Bruno Apolloni, Simone Bassis, Jacopo Rota, Gian Luca Galliani, Matteo Gioia, Luca Ferrari
      Pages 97-109

    11. Model Complexity Control in Clustering

      • Stefano Rovetta
      Pages 111-120

  4. Artificial Neural Networks: Algorithms and Models

    1. Front Matter

      Pages 121-121
      Download chapter PDF

    2. Using Neural Networks for the Recognition of Specific Motion Symptoms of the Parkinson’s Disease

      • Paolo Lorenzi, Rosario Rao, Giulio Romano, Ardian Kita, Martin Serpa, Federico Filesi et al.
      Pages 123-131

    3. Benchmarking Functional Link Expansions for Audio Classification Tasks

      • Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
      Pages 133-141

    4. A Comparison of Consensus Strategies for Distributed Learning of Random Vector Functional-Link Networks

      • Roberto Fierimonte, Simone Scardapane, Massimo Panella, Aurelio Uncini
      Pages 143-152

    5. Spatial-Temporal Entangled Sparse Distributed Storage (STE-SDS) and Sparse Distributed Code (SDC) in the Systolic Hebb Agnostic Resonance Perceptron (SHARP) Proposed as Hypothetical Model Linking Mini and Macro-Column Scale Functionality in the Cerebral Cortex

      • Luca Marchese
      Pages 153-160

    6. Łukasiewicz Equivalent Neural Networks

      • Antonio Di Nola, Giacomo Lenzi, Gaetano Vitale
      Pages 161-168
Back to top

Other volumes

  1. Advances in Neural Networks

Keywords

About this book

This carefully edited book is putting emphasis on computational and artificial intelligent methods for learning and their relative applications in robotics, embedded systems, and ICT interfaces for psychological and neurological diseases. The book is a follow-up of the scientific workshop on Neural Networks (WIRN 2015) held in Vietri sul Mare, Italy, from the 20th to the 22nd of May 2015. The workshop, at its 27th edition became a traditional scientific event that brought together scientists from many countries, and several scientific disciplines. Each chapter is an extended version of the original contribution presented at the workshop, and together with the reviewers’ peer revisions it also benefits from the live discussion during the presentation.

The content of book is organized in the following sections.

1. Introduction,

2. Machine Learning,

3. Artificial Neural Networks: Algorithms and models,

4. Intelligent Cyberphysical and Embedded System,

5. Computational Intelligence Methods for Biomedical ICT in Neurological Diseases,

6. Neural Networks-Based Approaches to Industrial Processes,

7. Reconfigurable ModularAdaptive Smart Robotic Systems for Optoelectronics

Industry: The White'R Instantiation

This book is unique in proposing a holistic and multidisciplinary approach to implement autonomous, and complex Human Computer Interfaces.

 

Editors and Affiliations

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

    Simone Bassis

  • Department of Psychology, Seconda Università di Napoli and IIASS, Caserta, Italy

    Anna Esposito

  • Dept. of Info., Mathematics, Ele & Trans, Univ. Mediterranea of Reggio Calabria, Reggio Calabria, Italy

    Francesco Carlo Morabito

  • Dip. Elettronica e Telecomunicazioni, Politecnico di Torino, Torino, Italy

    Eros Pasero

Bibliographic Information

  • Book Title: Advances in Neural Networks

  • Book Subtitle: Computational Intelligence for ICT

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

  • Series Title: Smart Innovation, Systems and Technologies

  • DOI: https://doi.org/10.1007/978-3-319-33747-0

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Hardcover ISBN: 978-3-319-33746-3Published: 19 June 2016

  • Softcover ISBN: 978-3-319-81591-6Published: 31 May 2018

  • eBook ISBN: 978-3-319-33747-0Published: 18 June 2016

  • Series ISSN: 2190-3018

  • Series E-ISSN: 2190-3026

  • Edition Number: 1

  • Number of Pages: XVI, 539

  • Number of Illustrations: 26 b/w illustrations, 132 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

Publish with us

Policies and ethics

Back to top

Search

Navigation