Consensus Machine learning Visualization Federated learning COVID-19 Web of Things NLP Natural Language Processing Chernoff information Latent block model Super-resolution Differential privacy Alzheimer's disease Neural networks Atrial fibrillation Computational Topology Excursion sets Grammatical Evolution Privacy Argument mining Convolutional Neural Networks Spiking Neural Networks Extreme value theory Diffusion MRI Segmentation Correlation matrices Semantic Web ECG Hyperbolic systems of conservation laws MRI Electrophysiology Isomanifolds Deep learning Clinical trials Unsupervised learning Hyperspectral data Arguments Convolutional neural networks RDF Electrocardiogram Image segmentation Deep Learning Fluorescence microscopy Dense labeling Brain-inspired computing Linked data Dimensionality reduction Explainable AI Convolutional neural network Knowledge graphs Anomaly detection Spiking neural networks OPAL-Meso Extracellular matrix Clustering Optimization CNN Contrastive learning SPARQL Multi-Agent Systems Autoencoder Sparsity Distributed optimization Knowledge graph Federated Learning Macroscopic traffic flow models Semantic web Domain adaptation Persistent homology Coxeter triangulation Graph signal processing Change point detection Biomarkers Apprentissage profond Atrial Fibrillation Information Extraction Uncertainty Artificial Intelligence 53B20 Semantic segmentation Convergence analysis Data augmentation Topological Data Analysis Computer vision Artificial intelligence Ontology Learning Image fusion Echocardiography Linked Data Healthcare FPGA Co-clustering Cable-driven parallel robot Diffusion strategy Predictive model Adversarial classification Computing methodologies Geometric graphs Graph neural networks Argument Mining Autonomous vehicles