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E-raamat: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 25th Iberoamerican Congress, CIARP 2021, Porto, Portugal, May 10-13, 2021, Revised Selected Papers

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This book constitutes the proceedings of the 25th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2021, which took place during May 10–13, 2021. The conference was initially planned to take place in Porto, Portugal, but changed to a virtual event due to the COVID-19 pandemic. 
The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They were organized in topical sections as follows: medical applications; natural language processing; metaheuristics; image segmentation; databases; deep learning; explainable artificial intelligence; image processing; machine learning; and computer vision. 
Medical Applications.- Predicting the use of Invasive Mechanical
Ventilation in ICU COVID-19 patients.- A Coarse to Fine Corneal Ulcer
Segmentation Approach using U-net and DexiNed in Chain.- Replacing Data
Augmentation with Rotation-equivariant CNNs in Image-based Classification of
Oral Cancer.- A Multitasking Learning Framework for Dermoscopic Image
Analysis.- An Evaluation of Segmentation Techniques for COVID-19
Identification in Chest X-Ray.- A Study on Annotation Efficient Learning
Methods for Segmentation in Prostate Histopathological Images.- Natural
Language Processing.- Data-Augmented Emoji Approach to Sentiment
Classification of Tweets.- Detecting Hate Speech in Cross-Lingual and
Multi-Lingual Settings Using Language Agnostic Representations.- Prediction
of Perception of Security Using Social Media Content.- Metaheuristics.-
Fine-Tuning Dropout Regularization in Energy-Based Deep Learning.- Enhancing
Hyper-To-Real Space Projections Through Euclidean NormMeta-Heuristic
Optimization.- Using Particle Swarm Optimization With Gradient Descent For
Parameter Learning In Convolutional Neural Networks.- Image Segmentation.-
Object Delineation by Iterative Dynamic Trees.- Low-Cost Domain Adaptation
for Crop and Weed Segmentation.- Databases.- MIGMA: The Facial Emotion Image
Dataset forHuman Expression Recognition.- Construction of Brazilian
Regulatory Traffic Sign Recognition Dataset.- Japanese Kana and Brazilian
Portuguese manuscript database.- Skelibras: a Large 2d Skeleton Dataset of
Dynamic Brazilian Signs.- Deep Learning.- Cricket Scene Analysis using the
RetinaNet architecture. -Texture-Based Image Transformations for Improved
Deep Learning Classification.- Towards Precise Recognition of Pollen Bearing
Bees by Convolutional Neural Networks.- Web Application Attacks Detection
Using Deep Learning.- Less is More: Accelerating Faster Neural Networks
Straight from JPEG.- Optimizing Person Re-Identification using
GeneratedAttention Masks.- Self-Supervised Bernoulli Autoencoders for
Semi-Supervised Hashing.- Explainable Artificial Intelligence.- Interpretable
Concept Drift.- Interpreting a Conditional Generative Adversarial Network
Model for Crime Prediction.- Interpreting Decision Patterns in Financial
Applications.- Image Processing.- Metal Artifact Reduction based on color
mapping and inpainting techniques.- New Improvement in Obtaining Monogenic
Phase Congruency.- Machine Learning.- Evaluating the Construction of Feature
Descriptors in the Performance of the Image Data Stream Classification.-
Clustering-based Partitioning of Water Distribution Networks for Leak Zone
Location.- Bias Quantification for Protected Features in Pattern
Classification Problems.- Regional Commodities Price Volatility Assessment
Using Self-Driven Recurrent Networks.- Semi-supervised Deep Learning Based on
Label Propagation in a 2D Embedded Space.- Iterative Creation of
Matching-Graphs - Finding Relevant Substructures in Graph Sets.-
Semi-Autogeonous (SAG) Mill Overload Forecasting.- Novel Time-Frequency Based
Scheme for Detecting Sound Events from Sound Background in Audio Segments.-
Computer Vision.- Generalized Conics with the Sharp Corners.- Automatic Face
Mask Detection using a Hide and Seek Algorithm.- A Feature Extraction
Approach Based on LBP Operator and Complex Networks for Face Recognition.-
End-to-End Deep Sketch-to-Photo Matching Enforcing Realistic Photo
Generation.- Forensic Analysis of Tampered Digital Photos.- COVID-19 Lung CT
Images Recognition: A  Feature-Based Approach.- A Topologically Consistent
Color Digital Image Representation by a Single Tree.