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3IA Côte d'Azur - Interdisciplinary Institute for Artificial Intelligence
3IA Côte d'Azur est l'un des quatre "Instituts interdisciplinaires d'intelligence artificielle" créés en France en 2019. Son ambition est de créer un écosystème innovant et influent au niveau local, national et international. L'institut 3IA Côte d'Azur est piloté par Université Côte d'Azur en partenariat avec les grands partenaires de l'enseignement supérieur et de la recherche de la région niçoise et de Sophia Antipolis : CNRS, Inria, INSERM, EURECOM, SKEMA Business School. L'institut 3IA Côte d'Azur est également soutenu par l'ECA, le CHU de Nice, le CSTB, le CNES, l'Institut Data ScienceTech et l'INRAE. Le projet a également obtenu le soutien de plus de 62 entreprises et start-ups.
Derniers dépôts
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Pierpaolo Goffredo, Shohreh Haddadan, Vorakit Vorakitphan, Elena Cabrio, Serena Villata. Fallacious Argument Classification in Political Debates. Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}, Jul 2022, Vienna, Austria. pp.4143-4149, ⟨10.24963/ijcai.2022/575⟩. ⟨hal-03873412⟩
Documents en texte intégral
654
Notices
300
Statistiques par discipline
Mots clés
Isomanifolds
Semantic Web
Macroscopic traffic flow models
Explainable AI
Extreme value theory
Consensus
Arguments
Linked Data
Anomaly detection
53B20
Artificial Intelligence
Semantic segmentation
COVID-19
Multiple Sclerosis
Convolutional neural network
Argument Mining
Spiking Neural Networks
Deep learning
Autoencoder
Healthcare
Hyperspectral data
Co-clustering
Coxeter triangulation
Data augmentation
Computer vision
Super-resolution
Domain adaptation
Fibronectin
Grammatical Evolution
Persistent homology
Artificial intelligence
Distributed optimization
NLP Natural Language Processing
Event cameras
CNN
Computing methodologies
Computational Topology
Predictive model
Spiking neural networks
Diffusion strategy
Knowledge graph
Biomarkers
Linked data
Knowledge graphs
Electrocardiogram
Web of Things
Medical imaging
Federated learning
Ontology Learning
Fluorescence microscopy
FPGA
Privacy
Semantic web
Autonomous vehicles
Atrial Fibrillation
Unsupervised learning
Convolutional Neural Networks
Clustering
Extracellular matrix
Convolutional neural networks
Information Extraction
OPAL-Meso
Excursion sets
Cable-driven parallel robot
Uncertainty
Alzheimer's disease
Contrastive learning
Electrophysiology
Physics-based learning
Image segmentation
Deep Learning
Image fusion
Apprentissage profond
Simulations
Differential privacy
Electronic medical record
Sparsity
Neural networks
Diffusion MRI
Multi-Agent Systems
Clinical trials
Federated Learning
Dense labeling
SPARQL
MRI
Atrial fibrillation
Convergence analysis
Echocardiography
Topological Data Analysis
Segmentation
Machine learning
Brain-inspired computing
Latent block model
Graph neural networks
Hyperbolic systems of conservation laws
RDF
Embedded Systems
Optimization
Visualization
Dimensionality reduction