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Advances in Computational Intelligence

20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25–30, 2021, Proceedings, Part I

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Ildar Batyrshin

    1. Instituto Politécnico Nacional, Centro de Investigación en Computación, Mexico City, Mexico

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  2. Alexander Gelbukh

    1. Instituto Politécnico Nacional, Centro de Investigación en Computación, Mexico City, Mexico

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  3. Grigori Sidorov

    1. Instituto Politécnico Nacional, Centro de Investigación en Computación, Mexico City, Mexico

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13067)

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

Included in the following conference series:

Conference proceedings info: MICAI 2021.

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Table of contents (30 papers)

  1. Front Matter

    Pages i-xxiv
    Download chapter PDF

  2. Machine and Deep Learning

    1. Front Matter

      Pages 1-1
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    2. Identifying Optimal Clusters in Purchase Transaction Data

      • L. Cleofas-Sanchez, A. Pineda-Briseño, J. S. Sanchez
      Pages 3-22

    3. Artificial Organic Networks Approach Applied to the Index Tracking Problem

      • Enrique González N., Luis A. Trejo
      Pages 23-43

    4. Supervised Learning Approach for Section Title Detection in PDF Scientific Articles

      • Gustavo Bartz Guedes, Ana Estela Antunes da Silva
      Pages 44-54

    5. Real-Time Mexican Sign Language Interpretation Using CNN and HMM

      • Jairo Enrique Ramírez Sánchez, Arely Anguiano Rodríguez, Miguel González Mendoza
      Pages 55-68

    6. RiskIPN: Pavement Risk Database for Segmentation with Deep Learning

      • Uriel Escalona, Erik Zamora, Humberto Sossa
      Pages 69-80

    7. A Comparative Study on Approaches to Acoustic Scene Classification Using CNNs

      • Ishrat Jahan Ananya, Sarah Suad, Shadab Hafiz Choudhury, Mohammad Ashrafuzzaman Khan
      Pages 81-91

    8. Measuring the Effect of Categorical Encoders in Machine Learning Tasks Using Synthetic Data

      • Eric Valdez-Valenzuela, Angel Kuri-Morales, Helena Gomez-Adorno
      Pages 92-107

    9. Long-Term Exploration in Persistent MDPs

      • Leonid Ugadiarov, Alexey Skrynnik, Aleksandr I. Panov
      Pages 108-120

    10. Source Task Selection in Time Series via Performance Prediction

      • Jesús García-Ramírez, Eduardo Morales, Hugo Jair Escalante
      Pages 121-130

    11. Finding Significant Features for Few-Shot Learning Using Dimensionality Reduction

      • Mauricio Mendez-Ruiz, Ivan Garcia, Jorge Gonzalez-Zapata, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
      Pages 131-142

    12. Seasonality Atlas of Solar Radiation in Mexico

      • Mónica Borunda, Adrián Ramírez, Nayeli Liprandi, Miriam Rodríguez, Alejandro Sánchez
      Pages 143-157

  3. Best Paper Award, Third Place

    1. Front Matter

      Pages 159-159
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    2. Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones

      • Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Miguel Gonzalez-Mendoza, Luis Eduardo Falcón-Morales
      Pages 161-172

    3. A Machine Learning Approach for Modeling Safety Stock Optimization Equation in the Cosmetics and Beauty Industry

      • David Díaz, Regina Marta, Germán Ortega, Hiram Ponce
      Pages 173-186

    4. DBSCAN Parameter Selection Based on K-NN

      • Leonardo Delgado, Eduardo F. Morales
      Pages 187-198

    5. Deep Learning Architectures Applied to Mosquito Count Regressions in US Datasets

      • Cuauhtemoc Daniel Suarez-Ramirez, Mario Alberto Duran-Vega, Hector M. Sanchez C., Miguel Gonzalez-Mendoza, Leonardo Chang, John M. Marshall
      Pages 199-212

    6. Causal Based Action Selection Policy for Reinforcement Learning

      • Ivan Feliciano-Avelino, Arquímides Méndez-Molina, Eduardo F. Morales, L. Enrique Sucar
      Pages 213-227

    7. Performance Evaluation of Artificial Neural Networks Applied in the Classification of Emotions

      • Juan-José-Ignacio Lázaro-Lázaro, Eddy Sánchez-DelaCruz, Cecilia-Irene Loeza-Mejía, Pilar Pozos-Parra, Luis-Alfonso Landero-Hernández
      Pages 228-238
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Other volumes

  1. Advances in Computational Intelligence

  2. Advances in Soft Computing

Keywords

About this book

The two-volume set LNAI 13067 and 13068 constitutes the proceedings of the 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, held in Mexico City, Mexico, in October 2021.

The total of 58 papers presented in these two volumes was carefully reviewed and selected from  129 submissions.

The first volume, Advances in Computational Intelligence, contains 30 papers structured

into three sections:

– Machine and Deep Learning

– Image Processing and Pattern Recognition

– Evolutionary and Metaheuristic Algorithms

The second volume, Advances in Soft Computing, contains 28 papers structured into two sections:

– Natural Language Processing

– Intelligent Applications and Robotics

Editors and Affiliations

  • Instituto Politécnico Nacional, Centro de Investigación en Computación, Mexico City, Mexico

    Ildar Batyrshin, Alexander Gelbukh, Grigori Sidorov

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