Loading...
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
-
David Chardin, Marie Paquet, Renaud Schiappa, Jacques Darcourt, Caroline Bailleux, et al.. Baseline metabolic tumor volume as a strong predictive and prognostic biomarker in patients with non-small cell lung cancer treated with PD1 inhibitors: a prospective study. Journal for Immunotherapy of Cancer, 2020, 8 (2), pp.e000645. ⟨10.1136/jitc-2020-000645⟩. ⟨hal-02973050⟩
Documents en texte intégral
744
Notices
331
Statistiques par discipline
Mots clés
Artificial intelligence
Caching
Echocardiography
CNN
Extreme value theory
FDG PET
Consensus
Convolutional Neural Networks
Hyperspectral data
Uncertainty
Graph neural networks
Medical imaging
Macroscopic traffic flow models
Unsupervised learning
Sparsity
Grammatical Evolution
Ontology Learning
Isomanifolds
Change point detection
Brain-inspired computing
Anomaly detection
Image fusion
Co-clustering
NLP
Autonomous vehicles
Explainable AI
Linked Data
Segmentation
Computational Topology
Semantic segmentation
Domain adaptation
Knowledge graph
Super-resolution
Computer vision
RDF
Information Extraction
Convolutional neural networks
Argument mining
Machine learning
Fluorescence microscopy
Knowledge graphs
MRI
Atrial fibrillation
Cable-driven parallel robot
FPGA
SHACL
Artificial Intelligence
Persistent homology
Healthcare
Deep Learning
Linked data
Electrophysiology
Geometric graphs
Topological Data Analysis
Autoencoder
Electrocardiogram
Semantic Web
Argument Mining
Hyperbolic systems of conservation laws
Convergence analysis
Biomarkers
COVID-19
OPAL-Meso
Alzheimer's disease
Atrial Fibrillation
Web of Things
Deep learning
Graph signal processing
Multi-Agent Systems
Adversarial classification
Coxeter triangulation
Visualization
Diffusion strategy
Convolutional neural network
Privacy
Clustering
Federated Learning
Clinical trials
Apprentissage profond
NLP Natural Language Processing
Extracellular matrix
Optimization
Spiking Neural Networks
Image segmentation
Diffusion MRI
53B20
Excursion sets
Dense labeling
Semantic web
Predictive model
Neural networks
Spiking neural networks
Computing methodologies
Distributed optimization
SPARQL
Latent block model
Contrastive learning
Arguments
Chernoff information
Federated learning