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