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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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Riccardo Taiello, Melek Önen, Clémentine Gritti, Marco Lorenzi. Let Them Drop: Scalable and Efficient Federated Learning Solutions Agnostic to Stragglers. ARES 2024 - 19th International Conference on Availability, Reliability and Security, Jul 2024, Vienna, Austria. pp.1-12, ⟨10.1145/3664476.3664488⟩. ⟨hal-04742784⟩
Documents en texte intégral
699
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311
Statistiques par discipline
Mots clés
Computational Topology
Artificial intelligence
Artificial Intelligence
Autonomous vehicles
Visualization
Hyperspectral data
Grammatical Evolution
Clinical trials
Neural networks
Argument Mining
Convergence analysis
NLP Natural Language Processing
Super-resolution
Linked data
Biomarkers
Uncertainty
Convolutional Neural Networks
Computing methodologies
Spiking Neural Networks
Information Extraction
Brain-inspired computing
Convolutional neural networks
COVID-19
MRI
Domain adaptation
Change point detection
Electrophysiology
Geometric graphs
Echocardiography
SPARQL
FPGA
Semantic segmentation
Dimensionality reduction
Atrial fibrillation
Convolutional neural network
Coxeter triangulation
Ontology Learning
Knowledge graph
Excursion sets
Hyperbolic systems of conservation laws
Explainable AI
Spiking neural networks
Graph signal processing
Graph neural networks
Co-clustering
Semantic web
Extracellular matrix
RDF
Deep learning
Contrastive learning
Atrial Fibrillation
Healthcare
Anomaly detection
Arguments
Macroscopic traffic flow models
Diffusion strategy
Machine learning
Consensus
Segmentation
Web of Things
53B20
Differential privacy
Image segmentation
Correlation matrices
Diffusion MRI
Sparsity
Topological Data Analysis
Apprentissage profond
Optimization
Privacy
Autoencoder
Persistent homology
CNN
ECG
Computer vision
Distributed optimization
Isomanifolds
Electronic medical record
Predictive model
Linked Data
Semantic Web
Argument mining
Fluorescence microscopy
OPAL-Meso
Data augmentation
Clustering
Dense labeling
Electrocardiogram
Alzheimer's disease
Federated learning
Extreme value theory
Multi-Agent Systems
Deep Learning
Latent block model
Image fusion
Cable-driven parallel robot
Unsupervised learning
Knowledge graphs
Federated Learning
Embedded Systems