E-grāmata: Pattern Recognition: 15th Mexican Conference, MCPR 2023, Tepic, Mexico, June 21-24, 2023, Proceedings

Pattern Recognition and Machine Learning Techniques: Feature Analysis
and Selection for Water Stream Modeling.- A Cloud-based (AWS) Machine
Learning Solution to Predict Account Receivables in a Financial
Institution.- A New Approach for Road Type Classification using
Multi-Stage Graph Embedding Method.- Removing the Black-Box from Machine
Learning.- Using Machine Learning to Identify Patterns in
Learner-Submitted Code for the Purpose of Assessment.- Fitness Function
Comparison for Unsupervised Feature Selection with Permutational-Based
Dierential Evolution.- A Method for Counting Models on Cubic Boolean
Formulas.- Automatic Identication of Learning Styles through Behavioral
Patterns.- Comparison of Classiers in Challenge Scheme.- Deep Learning and
Neural Networks: Robust Zero-Watermarking for Medical Images based on Deep
Learning Feature Extraction.- Plant Stress Recognition UsingDeep Learning and
3D Reconstruction.- Segmentation and Classification Networks for Corn/Weed
Detection under Excessive Field Variabilities.- Leukocyte Recognition Using a
Modified AlexNet and Image to Image GAN Data Augmentation.- Spoofing
Detection for Speaker Verification with Glottal Flow and 1D Pure
Convolutional Networks.- Estimation of Stokes Parameters using Deep Neural
Networks.- Experimental Study of the Performance of Convolutional
Neural Networks Applied in Art Media Classification.- Medical Applications of
Pattern Recognition: Hadamard Layer to Improve Semantic Segmentation in
Medical Images.- Patterns in Genesis of Breast Cancer Tumor.- Realistic
Simulation of Event-Related Potentials and their usual Noise and
Interferences for Pattern Recognition.- Chest X-ray Imaging Severity Score of
COVID-19 Pneumonia.- Leukocyte Detection with Novel Fully Convolutional
Network and a New Dataset of Blood Smear Complete Samples.- Comparison of
Deep Learning Architectures in Classification of Microcalcifications Clusters
in Digital Mammograms.- Retinal Artery and Vein Segmentation using an
Image-to-image Conditional Adversarial Network.- Evaluation of Heatmaps as an
Explicative Method for Classifying Acute Lymphoblastic Leukemia
Cells.- Language Processing and Recognition: Machine Learning Models Applied
in Sign Language Recognition.- Urdu Semantic Parsing: An Improved SEMPRE
Framework for Conversion of Urdu Language Web Queries to Logical
forms.- Improving the Identification of Abusive Language through Careful
Design of Pre-training Tasks.- Industrial Applications of Pattern
Recognition: TOPSIS Method for Multiple-Criteria Decision-Making Applied
to Trajectory Selection for Autonomous Driving.- Machine-learning based
Estimation of the Bending Magnitude Sensed by a Fiber Optic
Device.- Graph-based Semi-Supervised Learning using Riemannian
Geometry Distance for Motor Imagery Classification.