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Intelligent Data Engineering and Automated Learning – IDEAL 2020

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

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Cesar Analide

    1. University of Minho, Braga, Portugal

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  2. Paulo Novais

    1. University of Minho, Braga, Portugal

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  3. David Camacho

    1. Technical University of Madrid, Madrid, Spain

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  4. Hujun Yin

    1. University of Manchester, Manchester, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12489)

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 2020.

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Table of contents (34 papers)

  1. Front Matter

    Pages i-xxv
    Download chapter PDF

  2. Prostate Gland Segmentation in Histology Images via Residual and Multi-resolution U-NET

    • Julio Silva-Rodríguez, Elena Payá-Bosch, Gabriel García, Adrián Colomer, Valery Naranjo
    Pages 1-8

  3. Evaluation of Machine Learning Algorithms for Automated Management of Wireless Links

    • Francisca Frias, André R. S. Marcal, Rui Prior, Waldir Moreira, Antonio Oliveira-Jr
    Pages 9-16

  4. Imputation of Missing Boarding Stop Information in Smart Card Data with Machine Learning Methods

    • Nadav Shalit, Michael Fire, Eran Ben-Elia
    Pages 17-27

  5. HEAT: Hyperbolic Embedding of Attributed Networks

    • David McDonald, Shan He
    Pages 28-40

  6. Least Squares Approach for Multivariate Split Selection in Regression Trees

    • Marvin Schöne, Martin Kohlhase
    Pages 41-50

  7. A Framework for the Multi-modal Analysis of Novel Behavior in Business Processes

    • Antonino Rullo, Antonella Guzzo, Edoardo Serra, Erika Tirrito
    Pages 51-63

  8. A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks

    • Mohammad Nasir, Ali Sadollah, Eneko Osaba, Javier Del Ser
    Pages 64-76

  9. Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification

    • Rukiye Savran Kızıltepe, John Q. Gan
    Pages 77-87

  10. LSI Based Mechanism for Educational Videos Retrieval by Transcripts Processing

    • Diana Iulia Bleoancă, Stella Heras, Javier Palanca, Vicente Julian, Marian Cristian Mihăescu
    Pages 88-100

  11. Visualization of Numerical Association Rules by Hill Slopes

    • Iztok Fister Jr., Dušan Fister, Andres Iglesias, Akemi Galvez, Eneko Osaba, Javier Del Ser et al.
    Pages 101-111

  12. Adaptation and Anxiety Assessment in Undergraduate Nursing Students

    • Ana Costa, Analisa Candeias, Célia Ribeiro, Herlander Rodrigues, Jorge Mesquita, Luís Caldas et al.
    Pages 112-123

  13. Text Similarity Between Concepts Extracted from Source Code and Documentation

    • Zaki Pauzi, Andrea Capiluppi
    Pages 124-135

  14. Using Kullback-Leibler Divergence to Identify Prominent Sensor Data for Fault Diagnosis

    • Rodrigo P. Monteiro, Carmelo J. A. Bastos-Filho
    Pages 136-147

  15. An Analysis of Protein Patterns Present in the Saliva of Diabetic Patients Using Pairwise Relationship and Hierarchical Clustering

    • Airton Soares, Eduardo Esteves, Nuno Rosa, Ana Cristina Esteves, Anthony Lins, Carmelo J. A. Bastos-Filho
    Pages 148-159

  16. Improving Adversarial Learning with Image Quality Measures for Image Deblurring

    • Jingwen Su, Hujun Yin
    Pages 160-171

  17. On Random-Forest-Based Prediction Intervals

    • Aida Calviño
    Pages 172-184

  18. A Machine Learning Approach to Forecast the Safest Period for Outdoor Sports

    • João Palmeira, José Ramos, Rafael Silva, Bruno Fernandes, Cesar Analide
    Pages 185-196

  19. One-Shot Only Real-Time Video Classification: A Case Study in Facial Emotion Recognition

    • Arwa Basbrain, John Q. Gan
    Pages 197-208

  20. Integrating a Data Mining Engine into Recommender Systems

    • Vitor Peixoto, Hugo Peixoto, José Machado
    Pages 209-220
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Other volumes

  1. Intelligent Data Engineering and Automated Learning – IDEAL 2020

  2. Intelligent Data Engineering and Automated Learning – IDEAL 2020

Keywords

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.

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

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