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15th MCPR 2023: Tepic, Mexico
- Ansel Yoan Rodríguez-González
, Humberto Pérez Espinosa
, José Francisco Martínez Trinidad
, Jesús Ariel Carrasco-Ochoa
, José Arturo Olvera-López
:
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
, Luis Armando Salazar-Lopez, Kenneth Chapman
, Troy Gilmore
, Gildardo Sánchez-Ante
:
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
, Fernando Pérez-Téllez
, Jelena Vasic
:
Using Machine Learning to Identify Patterns in Learner-Submitted Code for the Purpose of Assessment. 47-57 - Jesús-Arnulfo Barradas-Palmeros, Efrén Mezura-Montes, Héctor-Gabriel Acosta-Mesa, Rafael Rivera-López
:
Fitness Function Comparison for Unsupervised Feature Selection with Permutational-Based Differential Evolution. 58-68 - Marco A. López Medina
, José Raymundo Marcial-Romero
, José Antonio Hernández Servín, Sandra Morales-Hernández:
A Method for Counting Models on Cubic Boolean Formulas. 69-78 - María Guadalupe Pineda-Arizmendi
, Ángel Hernández-Castañeda
, René Arnulfo García-Hernández
, Yulia Ledeneva
, José Rafael Cruz Reyes
:
Automatic Identification of Learning Styles Through Behavioral Patterns. 79-88
Deep Learning and Neural Networks
- Rodrigo Eduardo Arevalo-Ancona
, Manuel Cedillo-Hernandez
, Ana Elena Ramirez-Rodriguez
, Mariko Nakano-Miyatake
, Héctor Pérez-Meana:
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
, Gerardo Ramon Flores
, Luis M. Valentín-Coronado
:
Segmentation and Classification Networks for Corn/Weed Detection Under Excessive Field Variabilities. 125-138 - Armando Reyes-Esparza
, Mario I. Chacon Murguia
, Juan A. Ramirez-Quintana
, Carlos Arzate-Quintana
:
Leukocyte Recognition Using a Modified AlexNet and Image to Image GAN Data Augmentation. 139-148 - Antonio Camarena-Ibarrola
, Karina Figueroa
, Axel Plancarte Curiel
:
Spoofing Detection for Speaker Verification with Glottal Flow and 1D Pure Convolutional Networks. 149-158 - Joan Manuel Raygoza-Romero
, Irvin Hussein López-Nava
, Julio Cesar Ramírez-Vélez:
Estimation of Stokes Parameters Using Deep Neural Networks. 159-168 - Juan Manuel Fortuna-Cervantes
, Carlos Soubervielle-Montalvo
, Oscar Ernesto Perez-Cham
, Rafael Peña-Gallardo
, Cesar Puente:
Experimental Study of the Performance of Convolutional Neural Networks Applied in Art Media Classification. 169-178
Medical Applications of Pattern Recognition
- Angello Hoyos
, Mariano Rivera
:
Hadamard Layer to Improve Semantic Segmentation in Medical Images. 181-190 - Moises León
, Matías Alvarado
:
Patterns in Genesis of Breast Cancer Tumor. 191-200 - Idileisy Torres-Rodríguez
, Roberto Díaz-Amador
, Beatriz Peón-Pérez
, Alberto Hurtado Armas
, Alberto Taboada-Crispí
:
Realistic Simulation of Event-Related Potentials and Their Usual Noise and Interferences for Pattern Recognition. 201-210 - Eduardo Garea Llano
, Abel Díaz Berenguer
, Hichem Sahli
, Evelio R. Gonzalez-Dalmau
:
Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia. 211-220 - Juan A. Ramirez-Quintana
, Jesus H. Rios-Barrios, Mario I. Chacon Murguia
, Carlos Arzate-Quintana
, Alma Delia Corral Sáenz:
Leukocyte Detection with Novel Fully Convolutional Network and a New Dataset of Blood Smear Complete Samples. 221-230 - Ricardo Salvador Luna Lozoya
, Humberto de Jesús Ochoa Domínguez
, Juan Humberto Sossa Azuela
, Vianey Guadalupe Cruz Sánchez
, Osslan Osiris Vergara-Villegas
:
Comparison of Deep Learning Architectures in Classification of Microcalcifications Clusters in Digital Mammograms. 231-241 - Jesús González Godoy
, Juan Humberto Sossa Azuela
:
Retinal Artery and Vein Segmentation Using an Image-to-Image Conditional Adversarial Network. 242-251 - José de J. Velázquez-Arreola
, Oliver A. Zarraga-Vargas
, Raquel Díaz-Hernández
, Leopoldo Altamirano Robles
:
Evaluation of Heatmaps as an Explicative Method for Classifying Acute Lymphoblastic Leukemia Cells. 252-260
Language Processing and Recognition
- Esteban Gustavo Quinde Novillo
, Juan Pablo Torres Saldaña
, Michael Andres Valdez Alvarez
, John Santiago Leon Llivicota
, Remigio Ismael Ortiz Hurtado
:
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
, Dante Mújica-Vargas
, Arturo Rendon-Castro
, Antonio Luna-Álvarez
:
TOPSIS Method for Multiple-Criteria Decision-Making Applied to Trajectory Selection for Autonomous Driving. 295-307 - Luis M. Valentín-Coronado
, Rodolfo Martínez-Manuel
, Jonathan Esquivel-Hernández
, Sophie LaRochelle
:
Machine-Learning Based Estimation of the Bending Magnitude Sensed by a Fiber Optic Device. 308-316 - Eric Smrkovsky
, Hubert Cecotti
:
Graph-Based Semi-supervised Learning Using Riemannian Geometry Distance for Motor Imagery Classification. 317-326
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