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.
.- 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.