Hybrid Artificial Intelligent Systems: 15th International Conference, HAIS 2020, Gijón, Spain, November 11-13, 2020, Proceedings | SpringerLink
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Hybrid Artificial Intelligent Systems

15th International Conference, HAIS 2020, Gijón, Spain, November 11-13, 2020, Proceedings

  • Conference proceedings
  • © 2020

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Editors:
  1. Enrique Antonio de la Cal

    1. University of Oviedo, Oviedo, Spain

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  2. José Ramón Villar Flecha

    1. University of Oviedo, Oviedo, Spain

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  3. Héctor Quintián

    1. University of A Coruña, Ferrol, Spain

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  4. Emilio Corchado

    1. University of Salamanca, Salamanca, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12344)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: HAIS 2020.

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About this book

This book constitutes the refereed proceedings of the 15th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2020, held in Gijón, Spain, in November 2020.

The 65 regular papers presented in this book were carefully reviewed and selected from 106 submissions. The papers are grouped into these topics: advanced data processing and visualization techniques; bio-inspired models and optimization; learning algorithms; data mining, knowledge discovery and big data; and hybrid artificial intelligence applications.

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Table of contents (65 papers)

  1. Front Matter

    Pages i-xix
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  2. Advanced Data Processing and Visualization Techniques

    1. Front Matter

      Pages 1-1
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    2. Generative Adversarial Network with Guided Generator for Non-stationary Noise Cancelation

      • Kyung-Hyun Lim, Jin-Young Kim, Sung-Bae Cho
      Pages 3-12

    3. Fake News Detection by Means of Uncertainty Weighted Causal Graphs

      • Eduardo C. Garrido-Merchán, Cristina Puente, Rafael Palacios
      Pages 13-24

    4. An Hybrid Registration Method for SLAM with the M8 Quanergy LiDAR

      • Marina Aguilar-Moreno, Manuel Graña
      Pages 25-35

    5. An Adaptive Neighborhood Retrieval Visualizer

      • Dominik Olszewski
      Pages 36-48

    6. A Fast SSVEP-Based Brain-Computer Interface

      • Tania Jorajuría, Marisol Gómez, Carmen Vidaurre
      Pages 49-60

    7. Visual Analytics for Production Line Failure Detection

      • Unai Arrieta, Ander García, Mikel Lorente, Ángel Maleta
      Pages 61-72

    8. Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines

      • Fernando Sánchez Lasheras, Paulino José García Nieto, Esperanza García-Gonzalo, Francisco Argüeso Gómez, Francisco Javier Rodríguez Iglesias, Ana Suárez Sánchez et al.
      Pages 73-85

    9. Clustering and Regression to Impute Missing Values of Robot Performance

      • Ángel Arroyo, Nuño Basurto, Carlos Cambra, Álvaro Herrero
      Pages 86-94

    10. A Simple Classification Ensemble for ADL and Falls

      • Enrique A. de la Cal, Mirko Fáñez, Mario Villar, Jose R. Villar, Victor Suárez
      Pages 95-106

    11. Joint Entity Summary and Attribute Embeddings for Entity Alignment Between Knowledge Graphs

      • Rumana Ferdous Munne, Ryutaro Ichise
      Pages 107-119

    12. Employing Decision Templates to Imbalanced Data Classification

      • Szymon Wojciechowski, Michał Woźniak
      Pages 120-131

    13. Comparison of Labeling Methods for Behavioral Activity Classification Based on Gaze Ethograms

      • Javier de Lope, Manuel Graña
      Pages 132-144

  3. Bio-inspired Models and Optimization

    1. Front Matter

      Pages 145-145
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    2. PBIL for Optimizing Hyperparameters of Convolutional Neural Networks and STL Decomposition

      • Roberto A. Vasco-Carofilis, Miguel A. Gutiérrez-Naranjo, Miguel Cárdenas-Montes
      Pages 147-159

    3. An Evolutionary Approach to Automatic Keyword Selection for Twitter Data Analysis

      • Oduwa Edo-Osagie, Beatriz De La Iglesia, Iain Lake, Obaghe Edeghere
      Pages 160-171

    4. PreCLAS: An Evolutionary Tool for Unsupervised Feature Selection

      • Jessica A. Carballido, Ignacio Ponzoni, Rocío L. Cecchini
      Pages 172-182

    5. RADSSo: An Automated Tool for the multi-CASH Machine Learning Problem

      • Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, Mario Fernández-Rodríguez
      Pages 183-194

    6. A Metaheuristic Algorithm to Face the Graph Coloring Problem

      • A. Guzmán-Ponce, J. R. Marcial-Romero, R. M. Valdovinos, R. Alejo, E. E. Granda-Gutiérrez
      Pages 195-208
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Other volumes

  1. Hybrid Artificial Intelligent Systems

Editors and Affiliations

  • University of Oviedo, Oviedo, Spain

    Enrique Antonio de la Cal, José Ramón Villar Flecha

  • University of A Coruña, Ferrol, Spain

    Héctor Quintián

  • University of Salamanca, Salamanca, Spain

    Emilio Corchado

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