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  • © 2020

Intelligent Data Engineering and Automated Learning – IDEAL 2020

21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part II

Conference proceedings info: IDEAL 2020.

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  • ISBN: 978-3-030-62365-4
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Table of contents (60 papers)

  1. Front Matter

    Pages i-xxv
  2. Special Session on Data Generation and Data Pre-processing in Machine Learning

    1. Front Matter

      Pages 1-1
    2. Multi-agent Based Manifold Denoising

      • Mohammad Mohammadi, Kerstin Bunte
      Pages 12-24
    3. A Novel Evaluation Metric for Synthetic Data Generation

      • Andrea Galloni, Imre Lendák, Tomáš Horváth
      Pages 25-34
    4. Data Pre-processing and Data Generation in the Student Flow Case Study

      • Luís Cavique, Paulo Pombinho, Antonio J. Tallón-Ballesteros, Luís Correia
      Pages 35-43
    5. Enhanced Credit Prediction Using Artificial Data

      • Peter Mitic, James Cooper
      Pages 44-53
    6. Data Generation Using Gene Expression Generator

      • Zakarya Farou, Noureddine Mouhoub, Tomáš Horváth
      Pages 54-65
  3. Special Session on Optimization and Machine Learning for Industry 4.0

    1. Front Matter

      Pages 77-77
    2. Distributed Coordination of Heterogeneous Robotic Swarms Using Stochastic Diffusion Search

      • Eneko Osaba, Javier Del Ser, Xabier Jubeto, Andrés Iglesias, Iztok Fister Jr., Akemi Gálvez et al.
      Pages 79-91
    3. An Intelligent Procedure for the Methodology of Energy Consumption in Industrial Environments

      • Izaskun Mendia, Sergio Gil-Lopez, Javier Del Ser, Iñaki Grau, Adelaida Lejarazu, Erik Maqueda et al.
      Pages 92-103
    4. Unified Performance Measure for Binary Classification Problems

      • Ana R. Redondo, Jorge Navarro, Rubén R. Fernández, Isaac Martín de Diego, Javier M. Moguerza, Juan José Fernández-Muñoz
      Pages 104-112
    5. Data Augmentation for Industrial Prognosis Using Generative Adversarial Networks

      • Patxi Ortego, Alberto Diez-Olivan, Javier Del Ser, Basilio Sierra
      Pages 113-122
    6. A Comparison of Evolutionary Multi-objective Optimization Algorithms Applied to Antenna Design

      • Pedro B. Santos, Marcello C. Melo, Everaldo Faustino Jr., Arismar Cerqueira S. Jr., Carmelo J. A. Bastos-Filho
      Pages 123-134
  4. Special Session on Practical Applications of Deep Learning

    1. Front Matter

      Pages 135-135
    2. Cloud Type Identification Using Data Fusion and Ensemble Learning

      • Javier Huertas-Tato, Alejandro Martín, David Camacho
      Pages 137-147
    3. Deep Learning in Aeronautics: Air Traffic Trajectory Classification Based on Weather Reports

      • Néstor Jiménez-Campfens, Adrián Colomer, Javier Núñez, Juan M. Mogollón, Antonio L. Rodríguez, Valery Naranjo
      Pages 148-155
    4. Video Semantics Quality Assessment Using Deep Learning

      • Rui Jesus, Bárbara Silveira, Nuno Correia
      Pages 165-172

Other Volumes

  1. Intelligent Data Engineering and Automated Learning – IDEAL 2020

    21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I
  2. Intelligent Data Engineering and Automated Learning – IDEAL 2020

    21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part II

About this book

This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.*

The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.

* The conference was held virtually due to the COVID-19 pandemic.

Keywords

  • artificial intelligence
  • computer hardware
  • computer networks
  • computer systems
  • computer vision
  • data mining
  • databases
  • deep learning
  • image processing
  • information retrieval
  • learning
  • machine learning
  • neural networks
  • pattern recognition
  • signal processing
  • telecommunication systems

Editors and Affiliations

  • University of Minho, Braga, Portugal

    Cesar Analide, Paulo Novais

  • Technical University of Madrid, Madrid, Spain

    David Camacho

  • University of Manchester, Manchester, UK

    Hujun Yin

Bibliographic Information

Buying options

eBook USD 109.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-62365-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 139.99
Price excludes VAT (USA)