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