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Progress in Artificial Intelligence and Pattern Recognition

7th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2021, Havana, Cuba, October 5–7, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Yanio Hernández Heredia

    1. Universidad de las Ciencias Informáticas, La Habana, Cuba

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  2. Vladimir Milián Núñez

    1. Universidad de las Ciencias Informáticas, La Habana, Cuba

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  3. José Ruiz Shulcloper

    1. Universidad de las Ciencias Informáticas, La Habana, Cuba

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13055)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: IWAIPR 2021.

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Table of contents (42 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Artificial Intelligence, Data Mining and Applications

    1. Front Matter

      Pages 1-1
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    2. Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections

      • Marilyn Bello, Yaumara Aguilera, Gonzalo Nápoles, María M. García, Rafael Bello, Koen Vanhoof
      Pages 3-12

    3. A Machine Learning Based Approach for Estimation of the Lung Affectation Degree in CXR Images of COVID-19 Patients

      • Eduardo Garea-Llano, Hector A. Castellanos-Loaces, Eduardo Martinez-Montes, Evelio Gonzalez-Dalmau
      Pages 13-23

    4. Deep Neural Network to Detect Gender Violence on Mexican Tweets

      • Grisel Miranda, Roberto Alejo, Carlos Castorena, Eréndira Rendón, Javier Illescas, Vicente García
      Pages 24-32

    5. Consumer Price Index Forecasting Based on Univariate Time Series and a Deep Neural Network

      • Reynaldo Rosado, Aldis Joan Abreu, José C. Arencibia, Hector Gonzalez, Yanio Hernandez
      Pages 33-42

    6. Application of a Generalized Regression Neural Network to the Estimation of Average Gait Speed

      • Elías O. García Alvaredo, Gianna Arencibia Castellanos, Fidel E. Hernández Montero, Tania Y. Aznielle Rodríguez
      Pages 43-51

    7. Gait Speed Estimation Based on Artificial Neural Network: Comparison with the Application of the Inverted Pendulum Model

      • Gianna Arencibia Castellanos, Fidel E. Hernández Montero, Tania Y. Aznielle Rodríguez
      Pages 52-59

    8. Scalable Generalized Multitarget Linear Regression With Output Dependence Estimation

      • Julio Camejo Corona, Hector Gonzalez, Carlos Morell
      Pages 60-68

    9. Covariance Matrix Adaptation Evolution Strategy for Convolutional Neural Network in Text Classification

      • Orlando Grabiel Toledano-López, Julio Madera, Héctor González, Alfredo Simón Cuevas
      Pages 69-78

    10. A Novel Approach for Detection and Location of Cyber-Attacks in Water Distribution Networks

      • Claudia Rodríguez Martínez, Marcos Quiñones-Grueiro, Cristina Verde, Orestes Llanes-Santiago
      Pages 79-90

    11. Identification of Non-linear Chemical Systems with Neural Networks

      • Reynold Alejandro Oramas Rodríguez, Ana Isabel González Santos, Laura García González
      Pages 91-102

    12. Convolutional Neural Networks as Support Tools for Spinocerebellar Ataxia Detection from Magnetic Resonances

      • Robin Cabeza-Ruiz, Luis Velázquez-Pérez, Roberto Pérez-Rodríguez
      Pages 103-114

    13. A Hybrid Brain-Computer Interface using Extreme Learning Machines for Motor Intention Detection

      • Ramón Osmany Ramírez Tasé, Denis Delisle Rodríguez, Oluwarotimi Williams Samuel, Alberto López Delis
      Pages 115-123

    14. Peripheral Nerve Segmentation in Ultrasound Images Using Conditioned U-Net

      • Harold Mauricio Díaz-Vargas, Cristian Alfonso Jimenez-Castaño, David Augusto Cárdenas-Peña, Oscar David Aguirre-Ospina, Alvaro Angel Orozco-Gutierrez
      Pages 124-133

    15. Assessing the Relationship Between Binarization and OCR in the Context of Deep Learning-Based ID Document Analysis

      • Rubén Sánchez-Rivero, Pavel Bezmaternykh, Annette Morales-González, Francisco José Silva-Mata, Konstantin Bulatov
      Pages 134-144

  3. Pattern Recognition and Applications

    1. Front Matter

      Pages 145-145
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    2. Pattern Recognition Strategies to Classify Traced Neurons

      • José D. López-Cabrera, Leonardo A. Hernández-Pérez, Juan V. Lorenzo-Ginori
      Pages 147-157

    3. Evaluation of Hepatic Fibrosis Stages Using the Logical Combinatorial Approach

      • Nathalie Alemán-García, Martha R. Ortiz-Posadas
      Pages 158-166

    4. A Proposal of Condition Monitoring with Missing Data and Small-Magnitude Faults in Industrial Plants

      • José M. Bernal-de-Lázaro, Carlos Cruz Corona, Marcelo Lisboa Rocha, Antônio J. Silva Neto, Orestes Llanes-Santiago
      Pages 167-176
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  1. Progress in Artificial Intelligence and Pattern Recognition

Keywords

About this book

This book constitutes the refereed proceedings of the 7th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2021, held in Havana, Cuba, in October 2021. The 42 full papers presented were carefully reviewed and selected from 73 submissions.

The papers promote and disseminate ongoing research on mathematical methods and computing techniques for artificial intelligence and pattern recognition, in particular in bioinformatics, cognitive and humanoid vision, computer vision, image analysis and intelligent data analysis.

Editors and Affiliations

  • Universidad de las Ciencias Informáticas, La Habana, Cuba

    Yanio Hernández Heredia, Vladimir Milián Núñez, José Ruiz Shulcloper

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