Skip to main content
Springer Nature Link
Log in

Intelligent Data Engineering and Automated Learning – IDEAL 2022

23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings

  • Conference proceedings
  • © 2022

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. Technical University of 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

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13756)

Included in the following conference series:

Conference proceedings info: IDEAL 2022.

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 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This book constitutes the refereed proceedings of the 23rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2022, which took place in Manchester, UK, during November 24-26, 2022.
The 52 full papers included in this book were carefully reviewed and selected from 79 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.

Similar content being viewed by others

Keywords

Table of contents (52 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Main Track

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Ensemble Stack Architecture for Lungs Segmentation from X-ray Images

      • Asifuzzaman Lasker, Mridul Ghosh, Sk Md Obaidullah, Chandan Chakraborty, Teresa Goncalves, Kaushik Roy
      Pages 3-11

    3. Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring

      • Tsegaye Misikir Tashu, Tomáš Horváth
      Pages 12-21

    4. Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques

      • Hugo Calero-Díaz, David Chushig-Muzo, Cristina Soguero-Ruiz
      Pages 22-30

    5. Identification of Sedimentary Strata by Segmentation Neural Networks of Oblique Photogrammetry of UAVs

      • Daniel Theisges dos Santos, Mauro Roisenberg, Marivaldo dos Santos Nascimento
      Pages 31-41

    6. Detection of False Information in Spanish Using Machine Learning Techniques

      • Arsenii Tretiakov, Alejandro Martín, David Camacho
      Pages 42-53

    7. An Approach to Authenticity Speech Validation Through Facial Recognition and Artificial Intelligence Techniques

      • Hugo Faria, Manuel Rodrigues, Paulo Novais
      Pages 54-63

    8. Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis

      • Laëtitia Launet, Rocío del Amor, Adrián Colomer, Andrés Mosquera-Zamudio, Anaïs Moscardó, Carlos Monteagudo et al.
      Pages 64-72

    9. Automatic Exploration of Domain Knowledge in Healthcare

      • Tiago Afonso, Cláudia Antunes
      Pages 73-81

    10. On Studying the Effect of Data Quality on Classification Performances

      • Roxane Jouseau, Sébastien Salva, Chafik Samir
      Pages 82-93

    11. A Binary Water Flow Optimizer Applied to Feature Selection

      • Fagner José de Matos Macêdo, Ajalmar Rêgo da Rocha Neto
      Pages 94-103

    12. Benchmarking Data Augmentation Techniques for Tabular Data

      • Pedro Machado, Bruno Fernandes, Paulo Novais
      Pages 104-112

    13. Deep Learning Based Predictive Analytics for Decentralized Content Caching in Hierarchical Edge Networks

      • Dhruba Chakraborty, Mahima Rabbi, Maisha Hossain, Saraf Noor Khaled, Maria Khanom Oishi, Md. Golam Rabiul Alam
      Pages 113-121

    14. Explanations of Performance Differences in Segment Lining for Tunnel Boring Machines

      • Hans Aoyang Zhou, Aymen Gannouni, Tala Bazazo, Johannes Tröndle, Anas Abdelrazeq, Frank Hees
      Pages 122-133

    15. On Autonomous Drone Navigation Using Deep Learning and an Intelligent Rainbow DQN Agent

      • Andreas Karatzas, Aristeidis Karras, Christos Karras, Konstantinos C. Giotopoulos, Konstantinos Oikonomou, Spyros Sioutas
      Pages 134-145

    16. An Intelligent Decision Support System for Road Freight Transport

      • Hugo Silva Carvalho, André Pilastri, Arthur Matta, Luís Miguel Matos, Rui Novais, Paulo Cortez
      Pages 146-156

    17. Endowing Intelligent Vehicles with the Ability to Learn User’s Habits and Preferences with Machine Learning Methods

      • Paulo Barbosa, Flora Ferreira, Carlos Fernandes, Wolfram Erlhagen, Pedro Guimarães, Weronika Wojtak et al.
      Pages 157-169

    18. Duplication Scheduling with Bottom-Up Top-Down Recursive Neural Network

      • Vahab Samandi, Peter Tiňo, Rami Bahsoon
      Pages 170-178

    19. Towards a Low-Cost Companion Robot for Helping Elderly Well-Being

      • J. A. Rincon, C. Marco-Detchart, V. Julian, C. Carrascosa, P. Novais
      Pages 179-187
Back to top

Other volumes

  1. Intelligent Data Engineering and Automated Learning – IDEAL 2022

Editors and Affiliations

  • University of Manchester, Manchester, UK

    Hujun Yin

  • Technical University of Madrid, Madrid, Spain

    David Camacho

  • University of Birmingham, Birmingham, UK

    Peter Tino

Bibliographic Information

Publish with us

Policies and ethics

Back to top