[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content
Springer Nature Link
Log in

Advances in Computational Intelligence

21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24–29, 2022, Proceedings, Part I

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Obdulia Pichardo Lagunas

    1. Instituto Politécnico Nacional, Mexico, Mexico

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Juan Martínez-Miranda

    1. Centro de Investigación Científica y de Educación Superior de Ensenada, Ensenada, Mexico

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Bella Martínez Seis

    1. Instituto Politécnico Nacional, Mexico, Mexico

    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 13612)

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

Included in the following conference series:

Conference proceedings info: MICAI 2022.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook GBP 55.99
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book GBP 69.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

The two-volume set LNAI 13612 and 13613 constitutes the proceedings of the 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, held in Monterrey, Mexico, in October 2022.

The total of 63 papers presented in these two volumes was carefully reviewed and selected from 137 submissions.

The first volume, Advances in Computational Intelligence, contains 34 papers structured into three sections:

  • Machine and Deep Learning
  • Image Processing and Pattern Recognition
  • Evolutionary and Metaheuristic Algorithms

The second volume contains 29 papers structured into two sections:

  • Natural Language Processing
  • Intelligent Applications and Robotics


Similar content being viewed by others

Keywords

Table of contents (34 papers)

  1. Front Matter

    Pages i-xxiv
    Download chapter PDF

  2. Machine and Deep Learning

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Skipped Nonsynaptic Backpropagation for Interval-valued Long-term Cognitive Networks

      • Mabel Frias, Gonzalo Nápoles, Yaima Filiberto, Rafael Bello, Koen Vanhoof
      Pages 3-14

    3. Cross-target Stance Classification as Domain Adaptation

      • Matheus Camasmie Pavan, Ivandré Paraboni
      Pages 15-25

    4. Impact of Loss Function in Deep Learning Methods for Accurate Retinal Vessel Segmentation

      • Daniela Herrera, Gilberto Ochoa-Ruiz, Miguel Gonzalez-Mendoza, Christian Stephan-Otto, Christian Mata
      Pages 26-37

    5. Embedded Implementation of the Hypersphere Neural Network for Energy Consumption Monitoring

      • Jesús Alfredo García-Limón, Juan Pablo Serrano Rubio, Rafael Herrera-Guzmán, Luz Maria Rodriguez-Vidal, Cesar Manuel Hernández-Mendoza
      Pages 38-51

    6. MACFE: A Meta-learning and Causality Based Feature Engineering Framework

      • Ivan Reyes-Amezcua, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello
      Pages 52-65

    7. Time Series Forecasting with Quantum Machine Learning Architectures

      • Mayra Alejandra Rivera-Ruiz, Andres Mendez-Vazquez, José Mauricio López-Romero
      Pages 66-82

    8. Explainable Model of Credit Risk Assessment Based on Convolutional Neural Networks

      • Carlos Cardenas-Ruiz, Andres Mendez-Vazquez, Luis M. Ramirez-Solis
      Pages 83-96

    9. Reinforcement Learning with Success Induced Task Prioritization

      • Maria Nesterova, Alexey Skrynnik, Aleksandr Panov
      Pages 97-107

    10. Cooperative Chaotic Exploration with UAVs Combining Pheromone Dispersion and Hopfield Chaotic Neural Network

      • Jonathan Daniel Díaz-Muñoz, Israel Cruz-Vega, Esteban Tlelo-Cuatle
      Pages 108-122

    11. Machine Learning-Based Decision Making in Evolutionary Multiobjective Clustering

      • Aarón Leonardo Sánchez-Martínez, Mario Garza-Fabre, Ricardo Landa, Edwin Aldana-Bobadilla
      Pages 123-137

    12. RBF Neural Network Based on FT-Windows for Auto-Tunning PID Controller

      • O. F. Garcia Castro, L. E. Ramos Velasco, M. A. Vega Navarrete, R. Garcia Rodriguez, C. R. Domínguez Mayorga, E. Escamilla Hernández et al.
      Pages 138-149

    13. Pursuing the Deep-Learning-Based Classification of Exposed and Imagined Colors from EEG

      • Alejandro A. Torres-García, Jesus S. García-Salinas, Luis Villaseñor-Pineda
      Pages 150-160

    14. Data Stream Mining for Dynamic Student Modeling

      • María Yesenia Zavaleta-Sánchez, Edgard Benítez-Guerrero
      Pages 161-172

    15. CESAMMO: Categorical Encoding by Statistical Applied Multivariable Modeling

      • Eric Valdez-Valenzuela, Angel Kuri-Morales, Helena Gomez-Adorno
      Pages 173-182

    16. Heart Failure Disease Prediction Using Machine Learning Models

      • Paola Tiburcio, Victor Guerrero, Hiram Ponce
      Pages 183-191

    17. Classification of Flood Warnings Applying a Convolutional Neural Network

      • Oscar-Alejandro García-Trujillo, Luis Carlos Sandoval Herazo, Eddy Sánchez-DelaCruz, Raymundo González Moreno
      Pages 192-203

    18. Machine Learning Techniques in Credit Default Prediction

      • Emmanuel Malagon, Daniel Troncoso, Andres Rubio, Hiram Ponce
      Pages 204-211

    19. Convolutional and Dense ANN for Cloud Kinetics Forecasting Using Satellite Images

      • Mónica Borunda, Adrián Ramírez, Raul Garduno, Gerardo Ruiz, Sergio Hernandez, O. A. Jaramillo
      Pages 212-224
Back to top

Other volumes

  1. Advances in Computational Intelligence

  2. Advances in Computational Intelligence

Editors and Affiliations

  • Instituto Politécnico Nacional, Mexico, Mexico

    Obdulia Pichardo Lagunas, Bella Martínez Seis

  • Centro de Investigación Científica y de Educación Superior de Ensenada, Ensenada, Mexico

    Juan Martínez-Miranda

Bibliographic Information

  • Book Title: Advances in Computational Intelligence

  • Book Subtitle: 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24–29, 2022, Proceedings, Part I

  • Editors: Obdulia Pichardo Lagunas, Juan Martínez-Miranda, Bella Martínez Seis

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-19493-1

  • 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 2022

  • Softcover ISBN: 978-3-031-19492-4Published: 23 October 2022

  • eBook ISBN: 978-3-031-19493-1Published: 22 October 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXIV, 449

  • Number of Illustrations: 39 b/w illustrations, 129 illustrations in colour

  • Topics: Artificial Intelligence

Publish with us

Policies and ethics

Back to top

Search

Navigation