Progress in Artificial Intelligence and Pattern Recognition

Artificial Intelligence, Data Mining and Applications.- Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections.- A Machine Learning Based Approach for Estimation of the Lung Affectation Degree in CXR images of COVID-19 patients.- Deep Neural Network to detect gender violence on Mexican tweets.- Consumer Price Index forecasting based on univariate time series and a deep neural network.- Application of a Generalized Regression Neural Network to the estimation of average gait speed.-Gait speed estimation based on artificial neural network: Comparison with the application of the inverted pendulum model.- Scalable Generalized Multitarget Linear Regression with Output Dependence Estimation.- Covariance Matrix Adaptation Evolution Strategy for Convolutional Neural Network in text classification.- A novel approach for detection and location of cyber-attacks in water distributions networks.- Identification of non-linear chemical systems with neural networks.- Convolutional neural networks as support tools for spinocerebellar ataxia detection from magnetic resonances.- A Hybrid Brain-Computer Interface using Extreme Learning Machines for Motor Intention Detection.- Peripheral nerve segmentation in ultrasoundimages using conditioned U-Net.- Assessing the relationship between binarization and OCR in the context of deep learning-based ID document analysis.- Pattern Recognition and Applications.- Pattern Recognitions Strategies to Classify Traced Neurons.- Evaluation of Hepatic Fibrosis Stages Using the Logical Combinatorial Approach.- A proposal of condition monitoring with missing data and small-magnitude faults in industrial plants.- A proposal of metric for improving remaining useful life prediction in industrial systems.- A fuzzy logic proposal for diagnosis multiple incipient faults in a power transformer.- A robust fault diagnosis strategy in mechanical systems using pythagorean fuzzy sets.-