Advances in Computational Intelligence

Machine and Deep Learning.- Skipped Nonsynaptic Backpropagation for Interval-valued Long-term Cognitive Networks.- Cross-target Stance Classification as Domain Adaptation.- Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation.- Embedded Implementation of the Hypersphere Neural Network for Energy Consumption Monitoring.- MACFE: A Meta-learning and Causality Based Feature Engineering Framework.- Time Series Forecasting with Quantum Machine Learning Architectures.- Explainable Model of Credit Risk Assessment Based on Convolutional Neural Networks.- Reinforcement Learning with Success Induced Task Prioritization.- Cooperative Chaotic Exploration with UAVs Combining Pheromone Dispersion and Hopfield Chaotic Neural Network.- Machine Learning-based Decision Making in Evolutionary Multiobjective Clustering.- RBF Neural Network Based on FT-Windows for Auto-Tunning PID Controller.- Pursuing the Deep-Learning-based Classification of Exposed and Imagined Colors from EEG.- Data Stream Mining for Dynamic Student Modeling.- CESAMMO: Categorical Encoding by Statistical Applied Multivariable Modeling.- Heart Failure Disease Prediction Using Machine Learning Models.- Classification of flood warnings applying a convolutional neural network.- Machine Learning Techniques in Credit Default Prediction.- Convolutional and dense ANN for cloud kinetics fore-casting using satellite images.- The role of the number of examples in Convolutional Neural Networks with Hebbian Learning.- Image Processing and Pattern Recognition.- Vision-based Gesture Recognition for Smart Light Switching.- On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification.- A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-based Photometric Image Enhancement