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ORCID14th MCPR 2022: Ciudad Juárez, Mexico
- Osslan Osiris Vergara-Villegas
, Vianey Guadalupe Cruz Sánchez, Juan Humberto Sossa Azuela, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, José Arturo Olvera-López:
Pattern Recognition - 14th Mexican Conference, MCPR 2022, Ciudad Juárez, Mexico, June 22-25, 2022, Proceedings. Lecture Notes in Computer Science 13264, Springer 2022, ISBN 978-3-031-07749-4
Pattern Recognition Techniques
- Oscar Roberto Chaparro-Amaro, Miguel de Jesús Martínez Felipe, Jesús Alberto Martínez-Castro:
Hot Spots & Hot Regions Detection Using Classification Algorithms in BMPs Complexes at the Protein-Protein Interface with the Ground-State Energy Feature. 3-14 - Marisol Flores-Garrido, Luis Miguel García-Velázquez, Rodrigo Sebastian Cortez-Madrigal:
Clustering of Twitter Networks Based on Users' Structural Profile. 15-24 - Erik Martinez-Vera, Pedro Bañuelos Sánchez, Gibran Etcheverry:
Lane Changing Model from NGSIM Dataset. 25-34 - Francisco Javier Ortiz Ortiz, Adrián Rodríguez Ramos, Orestes Llanes-Santiago:
A Robust Fault Diagnosis Method in Presence of Noise and Missing Information for Industrial Plants. 35-45 - A. Bolívar, Vicente García, Rogelio Florencia, Roberto Alejo, Gilberto Rivera Zárate, Julia Patricia Sánchez-Solís:
A Preliminary Study of SMOTE on Imbalanced Big Datasets When Dealing with Sparse and Dense High Dimensionality. 46-55 - Cuauhtemoc Daniel Suarez-Ramirez, Juan-Carlos Martínez, Octavio Loyola-González:
A Novel Survival Analysis-Based Approach for Predicting Behavioral Probability of Default. 56-69 - Angel Kuri-Morales:
Mining Mixed Data Bases Using Machine Learning Algorithms. 70-80
Neural Networks and Deep Learning
- Jonathan Flores-Monroy, Mariko Nakano-Miyatake, Héctor M. Pérez Meana, Enrique Escamilla Hernández, Gabriel Sanchez-Perez:
A CNN-Based Driver's Drowsiness and Distraction Detection System. 83-93 - Leandro José Rodríguez Hernández, Humberto de Jesús Ochoa Domínguez, Osslan Osiris Vergara-Villegas, Vianey Guadalupe Cruz Sánchez, Juan Humberto Sossa Azuela, Javier Polanco González:
3D Convolutional Neural Network to Enhance Small-Animal Positron Emission Tomography Images in the Sinogram Domain. 94-104 - Samuel Omar Tovias-Alanis, Wilfrido Gómez-Flores, Gregorio Toscano Pulido, Juan Humberto Sossa Azuela:
Learning Dendrite Morphological Neurons Using Linkage Trees for Pattern Classification. 105-115 - Esteban Reyes-Saldana, Mariano Rivera:
Deep Variational Method with Attention for High-Definition Face Generation. 116-126 - Jorge Altamirano-Astorga, Ita-Andehui Santiago-Castillejos, Luz Hernández-Martínez, Edgar Roman-Rangel:
Indoor Air Pollution Forecasting Using Deep Neural Networks. 127-136 - Hubert Cecotti:
Extreme Machine Learning Architectures Based on Correlation. 137-146
Image and Signal Processing and Analysis
- Sergio Daniel Cano-Ortiz, Yadisbel Martinez-Cañete, Liette Veranes-Vicet:
Evaluating New Set of Acoustical Features for Cry Signal Classification. 149-158 - Girish Tiwale, Hubert Cecotti:
Motor Imagery Classification Using Riemannian Geometry in Multiple Frequency Bands with a Weighted Nearest Neighbors Approach. 159-168 - Rafael Mercado Herrera, Vianney Muñoz-Jiménez, Marco Antonio Ramos Corchado, Félix F. Ramos Corchado, José Raymundo Marcial-Romero:
Virtualizing 3D Real Environments Using 2D Pictures Based on Photogrammetry. 169-180 - Javier Gurrola-Ramos, Oscar S. Dalmau, Teresa E. Alarcón:
Factorized U-net for Retinal Vessel Segmentation. 181-190 - Sandra Eugenia Barajas Montiel, Eduardo F. Morales, Hugo Jair Escalante:
Multi-view Learning for EEG Signal Classification of Imagined Speech. 191-200 - Oscar Almanza-Conejo, Dora Luz Almanza-Ojeda, Jose L. Contreras-Hernandez, Mario Alberto Ibarra-Manzano:
Emotion Recognition Using Time-Frequency Distribution and GLCM Features from EEG Signals. 201-211
Natural Language Processing and Recognition
- Karla María Valencia-Segura, Hugo Jair Escalante, Luis Villaseñor Pineda:
Leveraging Multiple Characterizations of Social Media Users for Depression Detection Using Data Fusion. 215-224 - Alberto Valdés-Chávez, J. Roberto López-Santillán, Luis Carlos González-Gurrola, Graciela Ramírez Alonso, Manuel Montes-y-Gómez:
A Wide & Deep Learning Approach for Covid-19 Tweet Classification. 225-234 - José Alberto Fuentes-Carbajal, Manuel Montes-y-Gómez, Luis Villaseñor Pineda:
Does This Tweet Report an Adverse Drug Reaction? An Enhanced BERT-Based Method to Identify Drugs Side Effects in Twitter. 235-244 - Jennifer Pérez-Santiago, Luis Villaseñor Pineda, Manuel Montes-y-Gómez:
We Will Know Them by Their Style: Fake News Detection Based on Masked N-Grams. 245-254 - Verónica Neri Mendoza, Yulia Ledeneva, René Arnulfo García-Hernández, Ángel Hernández-Castañeda:
Multi-document Text Summarization Based on Genetic Algorithm and the Relevance of Sentence Features. 255-265
Robotics and Remote Sensing Applications of Pattern Recognition
- José Luis Silván-Cárdenas:
On Labelling Pointclouds with the Nearest Facet of Triangulated Building Models. 269-279 - Alan Brian Díaz Reyna, Luis M. Valentín-Coronado, Manuel I. Peña-Cruz:
Dust Deposition Classification on the Receiver Tube of the Parabolic Trough Collector: A Deep Learning-Based Approach. 280-290 - Andrés García-Vanegas, Camilo Leiton-Murcia, Manuel Guillermo Forero, Antonio González-Rodríguez, Fernando Jose Castillo-García:
Cable-Driven Parallel Robot Controlled by Servo-Vision System. 291-302
Medical Applications of Pattern Recognition
- Sebastián Rascón-Cervantes, Graciela Ramírez Alonso, Juan A. Ramirez-Quintana, Manuel Montes-y-Gómez, J. Roberto López-Santillán:
OSLeD-wA: A One-Stage Lesion Detection Method with Attention Mechanisms. 305-315 - Rogelio Sotero Reyes-Galaviz, Omar Mendoza-Montoya, Javier Mauricio Antelis:
Detection of Pain Caused by a Thermal Stimulus Using EEG and Machine Learning. 316-327 - Juan A. Ramirez-Quintana, Ivan Acosta-Lara, Graciela Ramírez Alonso, Mario Ignacio Chacon Murguia, Alma Delia Corral Sáenz:
A Lightweight Convolutional Neural Network for Breast Cancer Diagnosis with Histology Images. 328-337 - Gustavo Ulloa, Alejandro Veloz, Héctor Allende-Cid, Raúl Monge, Héctor Allende:
Efficient Methodology Based on Convolutional Neural Networks with Augmented Penalization on Hard-to-Classify Boundary Voxels on the Task of Brain Lesion Segmentation. 338-347 - Dante Mújica-Vargas, Antonio Luna-Álvarez, Alberto Rosales-Silva, Andrea Palacios-Cervantes:
Delimitation of Benign and Malignant Masses in Breast Ultrasound by Clustering of Intuitionistic Fuzzy Superpixels Using DBSCAN Algorithm. 348-359 - Rocio Ochoa-Montiel, Humberto Sossa, Gustavo Olague, Carlos Sánchez-López:
Machine Learning and Symbolic Learning for the Recognition of Leukemia L1, L2 and L3. 360-369
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