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Hybrid Artificial Intelligent Systems

18th International Conference, HAIS 2023, Salamanca, Spain, September 5–7, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Pablo García Bringas

    1. University of Deusto, Bilbao, Spain

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  2. Hilde Pérez García

    1. University of Leon, León, Spain

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  3. Francisco Javier Martínez de Pisón

    1. University of La Rioja, Logroño, La Rioja, Spain

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  4. Francisco Martínez Álvarez

    1. Pablo de Olavide University, Seville, Spain

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  5. Alicia Troncoso Lora

    1. Pablo de Olavide University, Seville, Spain

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  6. Álvaro Herrero

    1. University of Burgos, Burgos, Spain

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  7. José Luis Calvo Rolle

    1. University of A Coruña, Ferrol - Coruña, Spain

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  8. Héctor Quintián

    1. University of A Coruña, Ferrol - Coruña, Spain

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  9. Emilio Corchado

    1. University of Salamanca, Salamanca, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14001)

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

Included in the following conference series:

Conference proceedings info: HAIS 2023.

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Table of contents (65 papers)

  1. Front Matter

    Pages i-xvii
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  2. Anomaly and Fault Detection

    1. Front Matter

      Pages 1-1
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    2. One-Class Reconstruction Methods for Categorizing DoS Attacks on CoAP

      • Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Esteban Jove, Jose Aveleira-Mata, Isaías García-Rodiguez et al.
      Pages 3-14

    3. Application of Anomaly Detection Models to Malware Detection in the Presence of Concept Drift

      • David Escudero García, Noemí DeCastro-García
      Pages 15-26

    4. Identification of Anomalies in Urban Sound Data with Autoencoders

      • Laura Melgar-García, Maryam Hosseini, Alicia Troncoso
      Pages 27-38

    5. Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses

      • Ignacio Aguilera-Martos, Julián Luengo, Francisco Herrera
      Pages 39-48

  3. Data Mining and Decision Support Systems

    1. Front Matter

      Pages 49-49
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    2. Model Performance Prediction: A Meta-Learning Approach for Concept Drift Detection

      • Fernanda A. Melo, André C. P. L. F. de Carvalho, Ana C. Lorena, Luís P. F. Garcia
      Pages 51-62

    3. Reinforcing Assessment Processes Using Proactive Case-Based Reasoning Mechanisms

      • Jaime Leite, Orlando Belo
      Pages 63-72

    4. Meta-Learning for Hyperparameters Tuning in CNNs for Chest Images

      • Jesús García-Ramírez, Rodrigo Ramos Díaz, Jimena Olveres, Boris Escalante-Ramírez
      Pages 73-83

    5. A Fuzzy Logic Ensemble Approach to Concept Drift Detection

      • Carlos del Campo, Borja Sanz, Jon Díaz, Enrique Onieva
      Pages 84-96

    6. Multi-Task Gradient Boosting

      • Seyedsaman Emami, Carlos Ruiz Pastor, Gonzalo Martínez-Muñoz
      Pages 97-107

    7. Exploratory Study of Data Sampling Methods for Imbalanced Legal Text Classification

      • Daniela L. Freire, Alex M. G. de Almeida, Márcio de S. Dias, Adriano Rivolli, Fabíola S. F. Pereira, Giliard A. de Godoi et al.
      Pages 108-120

    8. Exploring Delay Reduction on Edge Computing Architectures from a Heuristic Approach

      • Hilal Alawneh, Jose David Nuñez-Gonzalez, Manuel Graña
      Pages 121-132

    9. Probability Density Function for Clustering Validation

      • Pau Figuera, Alfredo Cuzzocrea, Pablo García Bringas
      Pages 133-144

    10. Comprehensive Analysis of Different Techniques for Data Augmentation and Proposal of New Variants of BOSME and GAN

      • Asier Garmendia-Orbegozo, Jose David Nuñez-Gonzalez, Miguel Angel Anton Gonzalez, Manuel Graña
      Pages 145-155

    11. Multidimensional Models Supported by Document-Oriented Databases

      • Rosa Matias, Maria Beatriz Piedade
      Pages 156-167

    12. Financial Distress Prediction in an Imbalanced Data Stream Environment

      • Rubens Marques Chaves, André Luis Debiaso Rossi, Luís Paulo Faina Garcia
      Pages 168-179

    13. Improving the Quality of Quantum Services Generation Process: Controlling Errors and Noise

      • Jaime Alvarado-Valiente, Javier Romero-Álvarez, Danel Arias, Erik B. Terres, Jose Garcia-Alonso, Enrique Moguel et al.
      Pages 180-191

    14. Comparison of Deep Reinforcement Learning Path-Following System Based on Road Geometry and an Adaptive Cruise Control for Autonomous Vehicles

      • F. Barreno, M. Santos, M. Romana
      Pages 192-203
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  1. Hybrid Artificial Intelligent Systems

Keywords

About this book

This book constitutes the refereed proceedings of the 18th International Conference on Hybrid Artificial Intelligent Systems,  HAIS 2023, held in Salamanca, Spain, during September 5–7, 2023.
The 65 full papers included in this book were carefully reviewed and selected from 120 submissions. They were organized in topical sections as follows: ​Anomaly and Fault Detection, Data Mining and Decision Support Systems, Deep Learning, Evolutionary Computation and Optimization, HAIS Applications,  Image and Speech Signal Processing, Agents and Multiagents, Biomedical Applicatons.

Editors and Affiliations

  • University of Deusto, Bilbao, Spain

    Pablo García Bringas

  • University of Leon, León, Spain

    Hilde Pérez García

  • University of La Rioja, Logroño, La Rioja, Spain

    Francisco Javier Martínez de Pisón

  • Pablo de Olavide University, Seville, Spain

    Francisco Martínez Álvarez, Alicia Troncoso Lora

  • University of Burgos, Burgos, Spain

    Álvaro Herrero

  • University of A Coruña, Ferrol - Coruña, Spain

    José Luis Calvo Rolle, Héctor Quintián

  • University of Salamanca, Salamanca, Spain

    Emilio Corchado

Bibliographic Information

  • Book Title: Hybrid Artificial Intelligent Systems

  • Book Subtitle: 18th International Conference, HAIS 2023, Salamanca, Spain, September 5–7, 2023, Proceedings

  • Editors: Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, … Emilio Corchado

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-40725-3

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-40724-6Published: 30 August 2023

  • eBook ISBN: 978-3-031-40725-3Published: 28 August 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVII, 784

  • Number of Illustrations: 44 b/w illustrations, 186 illustrations in colour

  • Topics: Artificial Intelligence

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