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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

27th Iberoamerican Congress, CIARP 2024, Talca, Chile, November 26–29, 2024, Proceedings, Part II

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Ruber Hernández-García

    1. Universidad Católica del Maule, Talca, Chile

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  2. Ricardo J. Barrientos

    1. Universidad Católica del Maule, Talca, Chile

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  3. Sergio A. Velastin

    1. Queen Mary University of London, London, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15369)

Included in the following conference series:

Conference proceedings info: CIARP 2024.

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About this book

This two-volume set LNCS 15368-15369 constitutes the refereed proceedings of the 27th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2024, held in Talca, Chile, during November 26-29, 2024.
The 35 full and 3 short papers presented in these proceedings were carefully reviewed and selected from 61 submissions. The papers presented in these two volumes are clustered into various thematical issues as follows: 
Part I: Mathematical methods and computing techniques for artificial intelligence and pattern recognition, bioinformatics.
Part II: Biometrics, cognitive and humanoid vision, computer vision, image analysis, intelligent data analysis.

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Keywords

Table of contents (19 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Unmasking Phishing Attempts: A Study on Detection in Spanish Emails

    • Vitali Herrera-Semenets, Lázaro Bustio-Martínez, Yamel Pérez-Guadarramas, Jorge Ángel González-Ordiano, Jan van den Berg
    Pages 1-15

  3. Comparative Analysis of Spatial and Spectral Methods in GNN for Power Flow in Electrical Power Systems

    • Paulo A. Espinoza, Gonzalo A. Ruz
    Pages 16-29

  4. An Effective Artificial Intelligence Pipeline for Automatic Manatee Count Using Their Tonal Vocalizations

    • Fabricio Quirós-Corella, Priscilla Cubero-Pardo, Athena Rycyk, Beth Brady, César Castro-Azofeifa, Sebastián Mora-Ramírez et al.
    Pages 30-44

  5. Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection

    • Dylan Perdigão, Francisco Antunes, Catarina Silva, Bernardete Ribeiro
    Pages 45-59

  6. Rethinking the Quality of Synthetic Palm Vein Images from Spectral Analysis

    • Colton Clarke, Edwin H. Salazar-Jurado, Ruber Hernández-García
    Pages 60-73

  7. An Uncertainty-Driven ScaledYOLOv4 for Open-Pit Mining Helmet Detection

    • Roger Calle, Eduardo Aguilar
    Pages 74-89

  8. A Generative Algorithm to Compute NanoFingerprints

    • Francesc Serratosa
    Pages 90-103

  9. Impact of Agricultural Production on Climate Change in South America: Comparative Analysis Between 1990 and 2020

    • Carlos Miguel Aizaga Ruiz, Rafael Melgarejo-Heredia
    Pages 104-119

  10. VAVnets: Retinal Vasculature Segmentation in Few-Shot Scenarios

    • Idris Dulau, Benoit Recur, Catherine Helmer, Cecile Delcourt, Marie Beurton-Aimar
    Pages 120-134

  11. Remote-Sensing Based Precipitation Detection Using Conditional GAN and Recurrent Neural Networks

    • Pablo Negri, Alejo Silvarrey, Sergio Gonzalez, Juan Ruiz, Luciano Vidal
    Pages 135-150

  12. Data-Driven Genetic Algorithm for the Optimization of Water Distribution Networks: A New Surrogate Model for Estimating Investment and Operational Costs in Pumping Stations

    • Nicolás Gajardo-Sepúlveda, Thalía Faúndez-Lizama, Jimmy H. Gutiérrez-Bahamondes, Daniel Mora-Melia, César A. Astudillo
    Pages 151-160

  13. Gene Regulatory Network for the Tryptophanase Operon Under the Threshold Boolean Network Model

    • Felipe Encina-Chacana, Gonzalo A. Ruz
    Pages 161-174

  14. Multilabel Classification of Intracranial Hemorrhages Using Deep Learning and Preprocessing Techniques on Non-contrast CT Images

    • Rodrigo Salas, Juan Sebastian Castro, Marvin Querales, Carolina Saavedra, Claudia Prieto, Steren Chabert
    Pages 175-190

  15. Segmentation of Brain Tumor Parts from Multi-spectral MRI Records Using Deep Learning and U-Net Architecture

    • Szabolcs Csaholczi, Ágnes Györfi, Levente Kovács, László Szilágyi
    Pages 191-204

  16. Exploiting the Segment Anything Model (SAM) for Lung Segmentation in Chest X-ray Images

    • Gabriel Bellon de Carvalho, Jurandy Almeida
    Pages 205-218

  17. Predicting Next Phases of Multi-Stage Network Attacks: A Comparative Study of Statistical and Deep-Learning Models

    • Antonia Severín, Claudio Canales, Romina Torres, César Roudergue, Rodrigo Salas
    Pages 219-232

  18. Improving Suicide Ideation Screening with Machine Learning and Questionnaire Optimization Through Feature Analysis

    • Ignacio Martínez, César Astudillo, Daniel Núñez
    Pages 233-243

  19. Aquila Optimizer for Hyperparameter Metaheuristic Optimization in ELM

    • Philip Vasquez-Iglesias, David Zabala-Blanco, Amelia E. Pizarro, Juan Fuentes-Concha, Paulo Gonzalez
    Pages 244-258

  20. Mixture of LSTM Experts for Sales Prediction with Diverse Features

    • Matías Soto, Felipe Cortés, Tímar Contreras, Billy Peralta
    Pages 259-273
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Other volumes

  1. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

  2. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Editors and Affiliations

  • Universidad Católica del Maule, Talca, Chile

    Ruber Hernández-García, Ricardo J. Barrientos

  • Queen Mary University of London, London, UK

    Sergio A. Velastin

Bibliographic Information

  • Book Title: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

  • Book Subtitle: 27th Iberoamerican Congress, CIARP 2024, Talca, Chile, November 26–29, 2024, Proceedings, Part II

  • Editors: Ruber Hernández-García, Ricardo J. Barrientos, Sergio A. Velastin

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-76604-6

  • 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 2025

  • Softcover ISBN: 978-3-031-76603-9Published: 17 November 2024

  • eBook ISBN: 978-3-031-76604-6Published: 16 November 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVII, 276

  • Number of Illustrations: 15 b/w illustrations, 92 illustrations in colour

  • Topics: Pattern Recognition, Machine Learning, Image Processing and Computer Vision, Computer Systems Organization and Communication Networks

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