-- Pattern Recognition and Machine Learning Techniques. -- Identification of Spatial Dynamic Patterns of Behavior Using Weighted Voronoi Diagrams. -- Pattern Recognition in Road Safety: Uncovering the Latent Causes of Accidents on Mexico's Federal Highways. -- A Regression Tree as Acquisition Function for Low-dimensional Optimisation. -- Missing Data and Their Effect on Algorithm Selection for the Bin Packing Problem. -- Statistical Evaluation of CESAMO Encoder for Pattern Preservation in Categorical Data. -- Shortest Reducts versus Shortest Constructs. -- Diversity in Genetic Algorithms in the Generation of School Schedules. -- Multiobjective Assignment of Citizens to INE Service Modules Using NSGA-II: An Efficient Optimization Approach. -- Feature Engineering for Music/Speech Detection in Costa Rica Radio Broadcast. -- Towards a Novel Approach for Knowledge Base Population Using Distant Supervision. -- Mapping Activities onto a Two-dimensional Emotions Model for Dog Emotion Recognition Using Inertial Data. -- An Exploratory Study on Machine-Learning-Based Hyper-heuristics for the Knapsack Problem. -- Computer Vision. -- Pattern Recognition of Pupillary Reflex Dynamics to Isoluminescent RGB Chromatic Stimuli. -- On the Minimal Perimeter Polygon for Digital Objects in the Triangular Tiling. -- 3BUGS: Representing Building Geometries Extracted from Point Clouds. -- Front-to-Birds-Eye-View Transformation for Autonomous Vehicles: A Class Imbalance-based Approach. -- Evaluating the Effectiveness of an AI Model with Transfer of Learning in the Educational Attendance Record. -- Multimodal-Attention Fusion for the Detection of Questionable Content in Videos. -- Optimization of Color Dominance Factor by Greedy Algorithm for Leaves and Fruit Segmentation of tomato Plants. -- A Robust Content Identification System for Picture-In-Picture Attack Detection Using Trainable Background Removal and Perceptual Hashing Functions. -- Medical Applications of Pattern Recognition. -- Detection of Depression Symptoms Through Unsupervised Learning. -- The Role of California Fires in Predicting Valley Fever. -- Recognition of Leukemic Retinopathy Using Knowledge of Diabetic Retinopathy. -- Classification of Breast Lesions Using Mammary Sinograms and Deep Learning. -- Ultrasound Bone Surface Segmentation for Hip Joint Arthroscopy: Evaluating a Local Phase-Based and a Rigid Object Filtering in a Simulated Environment. -- Comparison of CNNs and ViTs for the Detection of Human Skin Lesions. -- Language Processing and Recognition. -- Text-Independent Speaker Identification with Glottal Flow and 1D Convolutional Neural Networks. -- Towards the Automatic Construction of Multimodal Graphical and Voice Interfaces. -- An Analysis of the Impact of Gender and Age on Perceiving and Identifying Sexist Posts. -- Relevance of Sentence Features for Multi-Document Text Summarization Using Human-Written Reference Summaries. -- Classification of Human and Machine-generated Texts Using Lexical Features and Supervised/Unsupervised Machine Learning Algorithms. -- Identification of Deceptive Texts Using Cascade Classification. -- Deep Learning and Neural Networks. -- LCAM-Net: Local Context Attention Network for Diabetic Retinopathy Severity Classification. -- Image Classification with Recurrent Spiking Neural Networks. -- Reducing Parameters by Neuroevolution in CNN for Steering Angle Estimation. -- Learnable Gabor Filters in CNNs: Avoiding Filter Degeneration via Early Stopping Based on Similarity Metrics.

This book constitutes the proceedings of the 16th Mexican Conference on Pattern Recognition, MCPR 2024, held in Xalapa, Mexico, during June 19-22, 2024, Proceedings. The 36 full papers were carefully reviewed and selected from 68 submissions. The papers are organized in subject areas as follows: Pattern Recognition and Machine Learning Techniques; Computer Vision; Medical Applications of Pattern Recognition; Language Processing and Recognition; Deep Learning and Neural Networks.