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Advances in Artificial Intelligence

19th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2020/2021, Málaga, Spain, September 22–24, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Enrique Alba

    1. University of Malaga, Málaga, Spain

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  2. Gabriel Luque

    1. University of Malaga, Málaga, Spain

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  3. Francisco Chicano

    1. University of Malaga, Málaga, Spain

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  4. Carlos Cotta

    1. University of Malaga, Málaga, Spain

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  5. David Camacho

    1. Technical University of Madrid, Madrid, Spain

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  6. Manuel Ojeda-Aciego

    1. University of Malaga, Málaga, Spain

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  7. Susana Montes

    1. University of Oviedo, Oviedo, Spain

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  8. Alicia Troncoso

    1. Pablo de Olavide University, Seville, Spain

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  9. José Riquelme

    1. University of Seville, Seville, Spain

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  10. Rodrigo Gil-Merino

    1. University of Malaga, Málaga, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12882)

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

Included in the following conference series:

Conference proceedings info: CAEPIA 2021.

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Table of contents (25 papers)

  1. Front Matter

    Pages i-xv
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  2. Machine Learning

    1. Front Matter

      Pages 1-1
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    2. Prediction of Epiretinal Membrane from Retinal Fundus Images Using Deep Learning

      • Ángela Casado-García, Manuel García-Domínguez, Jónathan Heras, Adrián Inés, Didac Royo, Miguel Ángel Zapata
      Pages 3-13

    3. LabelDetection: Simplifying the Use and Construction of Deep Detection Models

      • Ángela Casado-García, Jónathan Heras
      Pages 14-22

    4. A Proposal to Integrate Deep Q-Learning with Automated Planning to Improve the Performance of a Planning-Based Agent

      • Carlos Núñez-Molina, Ignacio Vellido, Vladislav Nikolov-Vasilev, Raúl Pérez, Juan Fdez-Olivares
      Pages 23-32

    5. ReLU-Based Activations: Analysis and Experimental Study for Deep Learning

      • Víctor Manuel Vargas, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
      Pages 33-43

    6. Studying the Effect of Different \(L_p\) Norms in the Context of Time Series Ordinal Classification

      • David Guijo-Rubio, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
      Pages 44-53

    7. STree: A Single Multi-class Oblique Decision Tree Based on Support Vector Machines

      • Ricardo Montañana, Jose A. Gámez, Jose M. Puerta
      Pages 54-64

    8. Deep Reinforcement and Imitation Learning for Self-driving Tasks

      • Sergio Hernández-García, Alfredo Cuesta-Infante
      Pages 65-74

    9. Human Activity Recognition with Capsule Networks

      • Laura Llopis-Ibor, Alfredo Cuesta-Infante, Cesar Beltran-Royo, Juan José Pantrigo
      Pages 75-85

    10. Towards Fairness in Classification: Comparison of Methods to Decrease Bias

      • Maitane Martinez-Eguiluz, Oier Irazabal-Urrutia, Olatz Arbelaitz-Gallego
      Pages 86-95

    11. Hypothesis Scoring and Model Refinement Strategies for FM-Based RANSAC

      • Alberto Ortiz, Esaú Ortiz, Juan José Miñana, Óscar Valero
      Pages 96-105

    12. Evaluation of the Transformer Architecture for Univariate Time Series Forecasting

      • Pedro Lara-Benítez, Luis Gallego-Ledesma, Manuel Carranza-García, José M. Luna-Romera
      Pages 106-115

  3. Optimization and Search

    1. Front Matter

      Pages 117-117
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    2. Automatic Generation of Interrelated Organisms on Virtual Environments

      • Santiago Pacheco, Nicolas Ottonello, Sergio Nesmachnow
      Pages 119-128

    3. Asynchronous Vector Iteration in Multi-objective Markov Decision Processes

      • Ekaterina Sedova, Lawrence Mandow, José-Luis Pérez-de-la-Cruz
      Pages 129-138

    4. Influence of the Alternative Objective Functions in the Optimization of the Cyclic Cutwidth Minimization Problem

      • Sergio Cavero, Eduardo G. Pardo, Abraham Duarte
      Pages 139-149

    5. A Similarity Measure of Gaussian Process Predictive Distributions

      • Lucia Asencio Martín, Eduardo C. Garrido-Merchán
      Pages 150-159

    6. Towards Automatic Bayesian Optimization: A First Step Involving Acquisition Functions

      • Luis C. Jariego Pérez, Eduardo C. Garrido Merchán
      Pages 160-169

    7. Solving the Permutation Heijunka Flow Shop Scheduling Problem with Non-unit Demands for Jobs

      • Joaquín Bautista-Valhondo
      Pages 170-181
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  1. Advances in Artificial Intelligence

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About this book

This book constitutes the refereed proceedings of the 19th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2020, which was cancelled due to the COVID-19 pandemic, amalgamated with CAEPIA 2021, and held in Malaga, Spain, during September 2021.

The 25 full papers presented were carefully selected from 40 submissions. The Conference of the Spanish Association of Artificial Intelligence (CAEPIA) is a biennial forum open to researchers from all over the world to present and discuss their latest scientific and technological advances in Antificial Intelligence (AI). The book is subdivided into the following topical headings: machine learning, optimization and search, and real-world applications. It covers such themes as ambient intelligence and smart environments; computer vision and robotics; constraints, search and planning; creativity and A.I.; education and A.I.; explainable and responsible A.I.; foundation, models and applications of A.I, andothers.

Editors and Affiliations

  • University of Malaga, Málaga, Spain

    Enrique Alba, Gabriel Luque, Francisco Chicano, Carlos Cotta, Manuel Ojeda-Aciego, Rodrigo Gil-Merino

  • Technical University of Madrid, Madrid, Spain

    David Camacho

  • University of Oviedo, Oviedo, Spain

    Susana Montes

  • Pablo de Olavide University, Seville, Spain

    Alicia Troncoso

  • University of Seville, Seville, Spain

    José Riquelme

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