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