Full Description
This book constitutes the proceedings of the 18th Mexican Conference on Pattern Recognition, MCPR 2026, held in Ciudad Juárez, Mexico, during June 24-27, 2026.
The 34 full papers presented in this volume were carefully reviewed and selected from 58 submissions. The papers are organized into the following topical sections: Pattern Recognition and Machine Learning Techniques; Deep Learning and Neural Networks; Computer Vision; Language Processing and Recognition; and Medical Applications of Pattern Recognition.
Contents
.- Pattern Recognition and Machine Learning Techniques.
.- Evaluation of Clustering and Consensus Models for Classifying Adulterant Levels in Alcoholic Beverages Using Single-Shot Interferograms.
.- Beyond Pareto: A High-Efficiency Approach to Bi-Objective Regression Trees.
.- Ensembles of Manifold Learners for Supervised and Unsupervised Learning.
.- Application of Unsupervised Pattern Recognition for the Structural Characterization of Masonry Walls.
.- Dynamic Assessment of Landslide Susceptibility at Pico de Orizaba Using Ensemble Classifiers and Multitemporal Analysis.
.- Customer Preferences Recognition in Neuromarketing: Improving Accuracy with Autoregressive Modeling, Genetic Algorithms, and Naive Bayes.
.- Clustering Algorithms for Density Variations: An Empirical Comparison.
.- Dissimilarity-Based Graph Embedding via Local and Global Approximate Graph Patterns.
.- Comprehensive Validation of Brex Sequential Classifier Model for Robust Pattern Recognition.
.- A Machine Learning Framework for High-Performance Electrolyte Classification in Lithium Metal Batteries.
.- Deep Learning and Neural Networks.
.- Banking Fraud Detection Using Neural Network Models.
.- Variational Standard Simplex Hierarchical Encoder for Clustering.
.- Chest CT Gender Domain Translation: Comparative Evaluation of CycleGAN and cVAE in Radiometric and Volumetric Coherence.
.- Detection of Dangerous Wildlife in a Dynamic Environment Using Deep Learning.
.- Spatiotemporal Prediction of Wildfires Spread Using Deep Learning.
.- A Safety-Aware Approach for Automated Urine Culture Screening Using Calibrated Deep Learning.
.- Modeling Tumor Progression in Mammography with Conditional Generative Adversarial Networks.
.- Computer Vision.
.- UAV Pose Estimation in Low-Light Conditions Using Visual-LiDar Fusion.
.- Var Based on Knowledge Transfer From VLMs and Video Descriptions.
.- Upsampling of Sparse Three-Dimensional Point Clouds Using iFactor-KDtree with Adaptive Interpolation.
.- Tree Crown Segmentation in UAV RGB Images via Monocular Depth Estimation.
.- Embedded System for Vehicle Environment Perception and License Plate Recognition (LPR) Using Computer Vision and Deep Learning.
.- Interpretable Human Activity Recognition for Subtle Robbery Detection in Surveillance Videos.
.- Language Processing and Recognition.
.- A Two-Stage Textual Preprocessing Pipeline for Medical Image Captioning.
.- Semantic Pattern Recognition in Scientific Literature Using Hybrid Topic Modeling and SciBERT With LoRA-Based Validation.
.- Automatic Depressive Symptom Detection on Social Media Using the BDI-II.
.- Statistical Analysis of Combined Adversarial Attacks on Spam Detection Models.
.- InCvT: A Hybrid Inception-Convolutional Vision Transformer Architecture for Speech Emotion Recognition.
.- Comparative Statistical Analysis of Sentiment Models in Spanish Political Discourse on YouTube.
.- Medical Applications of Pattern Recognition.
.- Machine Learning Algorithms for Identifying Attention Deficit/Hyperactivity Disorder Processing Electroencephalographic Signals.
.- Graph-Based Modeling of Disfluent Speech for Alzheimer's Detection.
.- Factors Associated with Depression in Mexico: An XAI Comparative Analysis of Tree-Based Classifiers Under Imbalanced Data.
.- Hierarchical Incremental Learning for Adaptive Breast Thermography Classification.
.- Automatic Classification of Subcutaneous Mycoses in Clinical Images Using Transfer Learning.
