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15th MCPR 2023: Tepic, Mexico
- Ansel Yoan Rodríguez-González
, Humberto Pérez Espinosa
Pattern Recognition - 15th Mexican Conference, MCPR 2023, Tepic, Mexico, June 21-24, 2023, Proceedings. Lecture Notes in Computer Science 13902, Springer 2023, ISBN 978-3-031-33782-6
Pattern Recognition and Machine Learning Techniques
- Carlos Moises Chavez-Jimenez
Feature Analysis and Selection for Water Stream Modeling. 3-12 - Javier Rodríguez López, Luis Escamilla, Roberto López-Santillán, Luis Fernando Gaxiola, Luis Carlos González-Gurrola:
A Cloud-Based (AWS) Machine Learning Solution to Predict Account Receivables in a Financial Institution. 13-22 - Mohale Emmanuel Molefe, Jules R. Tapamo:
A New Approach for Road Type Classification Using Multi-stage Graph Embedding Method. 23-35 - Angel Fernando Kuri Morales:
Removing the Black-Box from Machine Learning. 36-46 - Botond Tarcsay
Using Machine Learning to Identify Patterns in Learner-Submitted Code for the Purpose of Assessment. 47-57 - Jesús-Arnulfo Barradas-Palmeros
Fitness Function Comparison for Unsupervised Feature Selection with Permutational-Based Differential Evolution. 58-68 - Marco A. López Medina
A Method for Counting Models on Cubic Boolean Formulas. 69-78 - María Guadalupe Pineda-Arizmendi
Automatic Identification of Learning Styles Through Behavioral Patterns. 79-88 - Sergio Nava-Muñoz
Comparison of Classifiers in Challenge Scheme. 89-98
Deep Learning and Neural Networks
- Rodrigo Eduardo Arevalo-Ancona
Robust Zero-Watermarking for Medical Images Based on Deep Learning Feature Extraction. 101-113 - Germán Ríos-Toledo, Madaín Pérez Patricio, Luis Ángel Cundapí-López, Jorge-Luis Camas-Anzueto, Nestor Antonio Morales Navarro, J. A. de Jesús Osuna-Coutiño:
Plant Stress Recognition Using Deep Learning and 3D Reconstruction. 114-124 - Francisco Garibaldi-Márquez
Segmentation and Classification Networks for Corn/Weed Detection Under Excessive Field Variabilities. 125-138 - Armando Reyes-Esparza
Leukocyte Recognition Using a Modified AlexNet and Image to Image GAN Data Augmentation. 139-148 - Antonio Camarena-Ibarrola
Spoofing Detection for Speaker Verification with Glottal Flow and 1D Pure Convolutional Networks. 149-158 - Joan Manuel Raygoza-Romero
Estimation of Stokes Parameters Using Deep Neural Networks. 159-168 - Juan Manuel Fortuna-Cervantes
Experimental Study of the Performance of Convolutional Neural Networks Applied in Art Media Classification. 169-178
Medical Applications of Pattern Recognition
- Angello Hoyos
Hadamard Layer to Improve Semantic Segmentation in Medical Images. 181-190 - Moises León
Patterns in Genesis of Breast Cancer Tumor. 191-200 - Idileisy Torres-Rodríguez
Realistic Simulation of Event-Related Potentials and Their Usual Noise and Interferences for Pattern Recognition. 201-210 - Eduardo Garea Llano
Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia. 211-220 - Juan A. Ramirez-Quintana
Leukocyte Detection with Novel Fully Convolutional Network and a New Dataset of Blood Smear Complete Samples. 221-230 - Ricardo Salvador Luna Lozoya
Comparison of Deep Learning Architectures in Classification of Microcalcifications Clusters in Digital Mammograms. 231-241 - Jesús González Godoy
Retinal Artery and Vein Segmentation Using an Image-to-Image Conditional Adversarial Network. 242-251 - José de J. Velázquez-Arreola
Evaluation of Heatmaps as an Explicative Method for Classifying Acute Lymphoblastic Leukemia Cells. 252-260
Language Processing and Recognition
- Esteban Gustavo Quinde Novillo
Machine Learning Models Applied in Sign Language Recognition. 263-272 - Nafees Ahmad, Muhammad Aslam, Sana Shams, Ana María Martínez Enríquez:
Urdu Semantic Parsing: An Improved SEMPRE Framework for Conversion of Urdu Language Web Queries to Logical Forms. 273-282 - Horacio Jesús Jarquín-Vásquez, Hugo Jair Escalante, Manuel Montes-y-Gómez:
Improving the Identification of Abusive Language Through Careful Design of Pre-training Tasks. 283-292
Industrial Applications of Pattern Recognition
- Andrés Antonio Arenas Muñiz
TOPSIS Method for Multiple-Criteria Decision-Making Applied to Trajectory Selection for Autonomous Driving. 295-307 - Luis M. Valentín-Coronado
Machine-Learning Based Estimation of the Bending Magnitude Sensed by a Fiber Optic Device. 308-316 - Eric Smrkovsky
Graph-Based Semi-supervised Learning Using Riemannian Geometry Distance for Motor Imagery Classification. 317-326
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