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Engineering Applications of Neural Networks

20th International Conference, EANN 2019, Xersonisos, Crete, Greece, May 24-26, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. John Macintyre

    1. David Goldman Informatics Centre, University of Sunderland, Sunderland, UK

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  2. Lazaros Iliadis

    1. Democritus University of Thrace, Xanthi, Greece

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  3. Ilias Maglogiannis

    1. University of Piraeus, Piraeus, Greece

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  4. Chrisina Jayne

    1. Oxford Brookes University, Oxford, UK

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1000)

Included in the following conference series:

Conference proceedings info: EANN 2019.

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Table of contents (46 papers)

  1. Front Matter

    Pages i-xxv
    Download chapter PDF

  2. Invited Paper

    1. Front Matter

      Pages 1-1
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    2. The Power of the “Pursuit” Learning Paradigm in the Partitioning of Data

      • Abdolreza Shirvani, B. John Oommen
      Pages 3-16

  3. AI in Energy Management - Industrial Applications

    1. Front Matter

      Pages 17-17
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    2. A Benchmark Framework to Evaluate Energy Disaggregation Solutions

      • Nikolaos Symeonidis, Christoforos Nalmpantis, Dimitris Vrakas
      Pages 19-30

    3. Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting

      • Nameer Al Khafaf, Mahdi Jalili, Peter Sokolowski
      Pages 31-42

    4. Modelling of Compressors in an Industrial CO\(_2\)-Based Operational Cooling System Using ANN for Energy Management Purposes

      • Sven Myrdahl Opalic, Morten Goodwin, Lei Jiao, Henrik Kofoed Nielsen, Mohan Lal Kolhe
      Pages 43-54

    5. Outlier Detection in Temporal Spatial Log Data Using Autoencoder for Industry 4.0

      • Lukas Kaupp, Ulrich Beez, Jens Hülsmann, Bernhard G. Humm
      Pages 55-65

    6. Reservoir Computing Approaches Applied to Energy Management in Industry

      • Valentina Colla, Ismael Matino, Stefano Dettori, Silvia Cateni, Ruben Matino
      Pages 66-79

    7. Signal2Vec: Time Series Embedding Representation

      • Christoforos Nalmpantis, Dimitris Vrakas
      Pages 80-90

  4. Biomedical - Bioinformatics Modeling

    1. Front Matter

      Pages 91-91
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    2. Classification of Sounds Indicative of Respiratory Diseases

      • Stavros Ntalampiras, Ilyas Potamitis
      Pages 93-103

    3. Eye Disease Prediction from Optical Coherence Tomography Images with Transfer Learning

      • Arka Bhowmik, Sanjay Kumar, Neeraj Bhat
      Pages 104-114

    4. Severe Asthma Exacerbations Prediction Using Neural Networks

      • Arthur Silveira, Cristian Muñoz, Leonardo Mendoza
      Pages 115-124

    5. A New Generalized Neuron Model Applied to DNA Microarray Classification

      • Beatriz A. Garro, Roberto A. Vazquez
      Pages 125-136

  5. Classification - Learning

    1. Front Matter

      Pages 137-137
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    2. A Hybrid Approach for the Fighting Game AI Challenge: Balancing Case Analysis and Monte Carlo Tree Search for the Ultimate Performance in Unknown Environment

      • Lam Gia Thuan, Doina Logofătu, Costin Badică
      Pages 139-150

    3. A Probabilistic Graph-Based Method to Improve Recommender System Accuracy

      • Nima Joorabloo, Mahdi Jalili, Yongli Ren
      Pages 151-163

    4. A Robust Deep Ensemble Classifier for Figurative Language Detection

      • Rolandos-Alexandros Potamias, Georgios Siolas, Andreas Stafylopatis
      Pages 164-175

    5. Enhanced Feature Selection for Facial Expression Recognition Systems with Genetic Algorithms

      • Kennedy Chengeta
      Pages 176-187
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  1. Engineering Applications of Neural Networks

Keywords

About this book

This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in  Xersonisos, Crete, Greece, in May 2019.

The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatics modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop.

Editors and Affiliations

  • David Goldman Informatics Centre, University of Sunderland, Sunderland, UK

    John Macintyre

  • Democritus University of Thrace, Xanthi, Greece

    Lazaros Iliadis

  • University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

  • Oxford Brookes University, Oxford, UK

    Chrisina Jayne

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