Skip to main content
SpringerLink
Log in

Intelligent Data Engineering and Automated Learning – IDEAL 2021

22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Hujun Yin

    1. University of Manchester, Manchester, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. David Camacho

    1. Universidad Politecnica de Madrid, Madrid, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Peter Tino

    1. University of Birmingham, Birmingham, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Richard Allmendinger

    1. University of Manchester, Manchester, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Antonio J. Tallón-Ballesteros

    1. University of Huelva, Huelva, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  6. Ke Tang

    1. Southern University of Science and Technology, Shenzhen, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  7. Sung-Bae Cho

    1. Yonsei University, Seoul, Korea (Republic of)

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  8. Paulo Novais

    1. University of Minho, Braga, Portugal

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  9. Susana Nascimento

    1. NOVA University of Lisbon, Lisbon, Portugal

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13113)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: IDEAL 2021.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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 (61 papers)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Main Track

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality

      • Luís Miguel Matos, André Domingues, Guilherme Moreira, Paulo Cortez, André Pilastri
      Pages 3-11

    3. A Parallel Variable Neighborhood Search for Solving Real-World Production-Scheduling Problems

      • Eneko Osaba, Erlantz Loizaga, Xabier Goenaga, Valentin Sanchez
      Pages 12-20

    4. Inheritances of Orthogonality in the Bio-inspired Layered Networks

      • Naohiro Ishii, Toshinori Deguchi, Masashi Kawaguchi, Hiroshi Sasaki, Tokuro Matsuo
      Pages 21-32

    5. A Neural Architecture for Detecting Identifier Renaming from Diff

      • Qiqi Gu, Wei Ke
      Pages 33-44

    6. Spell Checker Application Based on Levenshtein Automaton

      • Alexandru Buşe-Dragomir, Paul Ştefan Popescu, Marian Cristian Mihăescu
      Pages 45-53

    7. Ensemble Synthetic Oversampling with Manhattan Distance for Unbalanced Hyperspectral Data

      • Tajul Miftahushudur, Bruce Grieve, Hujun Yin
      Pages 54-64

    8. AutoML Technologies for the Identification of Sparse Models

      • Aleksei Liuliakov, Barbara Hammer
      Pages 65-75

    9. A Hierarchical Multi-label Classification of Multi-resident Activities

      • Hiba Mehri, Tayeb Lemlouma, Nicolas Montavont
      Pages 76-86

    10. Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem

      • Jaël Champagne Gareau, Éric Beaudry, Vladimir Makarenkov
      Pages 87-96

    11. Combining Encoplot and NLP Based Deep Learning for Plagiarism Detection

      • Ciprian Amzuloiu, Marian Cristian Mihăescu, Traian Rebedea
      Pages 97-106

    12. Drift Detection in Text Data with Document Embeddings

      • Robert Feldhans, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo et al.
      Pages 107-118

    13. Validation of Video Retrieval by Kappa Measure for Inter-Judge Agreement

      • Diana Bleoancă, Stella Heras, Javier Palanca, Vicente Julian, Marian Cristian Mihăescu
      Pages 119-127

    14. Multi Language Application of Previously Developed Transcripts Classifier

      • Theodora Ioana Dănciulescu, Stella Heras, Javier Palanca, Vicente Julian, Marian Cristian Mihăescu
      Pages 128-136

    15. A Complexity Measure for Binary Classification Problems Based on Lost Points

      • Carmen Lancho, Isaac Martín de Diego, Marina Cuesta, Víctor Aceña, Javier M. Moguerza
      Pages 137-146

    16. Linear Concept Approximation for Multilingual Document Recommendation

      • Vilmos Tibor Salamon, Tsegaye Misikir Tashu, Tomáš Horváth
      Pages 147-156

    17. Unsupervised Detection of Solving Strategies for Competitive Programming

      • Alexandru Ştefan Stoica, Daniel Băbiceanu, Marian Cristian Mihăescu, Traian Rebedea
      Pages 157-165

    18. Application of Long Short-Term Memory Neural Networks for Electric Arc Furnace Modelling

      • Maciej Klimas, Dariusz Grabowski
      Pages 166-175

    19. An Empirical Study of the Impact of Field Features in Learning-to-rank Method

      • Hua Yang, Teresa Gonçalves
      Pages 176-187
Back to top

Other volumes

  1. Intelligent Data Engineering and Automated Learning – IDEAL 2021

Keywords

About this book

This book constitutes the refereed proceedings of the 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021, which took place during November 25-27, 2021. The conference was originally planned to take place in Manchester, UK, but was held virtually due to the COVID-19 pandemic.

The 61 full papers included in this book were carefully reviewed and selected from 85 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.

Editors and Affiliations

  • University of Manchester, Manchester, UK

    Hujun Yin, Richard Allmendinger

  • Universidad Politecnica de Madrid, Madrid, Spain

    David Camacho

  • University of Birmingham, Birmingham, UK

    Peter Tino

  • University of Huelva, Huelva, Spain

    Antonio J. Tallón-Ballesteros

  • Southern University of Science and Technology, Shenzhen, China

    Ke Tang

  • Yonsei University, Seoul, Korea (Republic of)

    Sung-Bae Cho

  • University of Minho, Braga, Portugal

    Paulo Novais

  • NOVA University of Lisbon, Lisbon, Portugal

    Susana Nascimento

Bibliographic Information

  • Book Title: Intelligent Data Engineering and Automated Learning – IDEAL 2021

  • Book Subtitle: 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings

  • Editors: Hujun Yin, David Camacho, Peter Tino, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, … Susana Nascimento

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-91608-4

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Softcover ISBN: 978-3-030-91607-7Published: 21 November 2021

  • eBook ISBN: 978-3-030-91608-4Published: 23 November 2021

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVIII, 649

  • Number of Illustrations: 51 b/w illustrations, 173 illustrations in colour

  • Topics: Data Mining and Knowledge Discovery, Machine Learning, Software Engineering, Computers and Education, Image Processing and Computer Vision

Publish with us

Policies and ethics

Back to top

Search

Navigation