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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⟩
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Iker García-Ferrero, Rodrigo Agerri, Aitziber Atutxa, Elena Cabrio, Iker de la Iglesia, et al.. Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain. LREC-COLING 2024 - 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, May 2024, TORINO, Italy. ⟨hal-04603270⟩
Documents en texte intégral
653
Notices
301
Statistiques par discipline
Mots clés
Computational Topology
Optimization
Contrastive learning
Neural networks
Computer vision
Consensus
Sparsity
Event cameras
Cable-driven parallel robot
Visualization
Clustering
Electrophysiology
Arguments
Information Extraction
Extreme value theory
Hyperbolic systems of conservation laws
Semantic web
Data augmentation
Biomarkers
Persistent homology
Predictive model
Atrial fibrillation
Segmentation
Medical imaging
Convolutional Neural Networks
Ontology Learning
Embedded Systems
Knowledge graphs
Physics-based learning
Federated Learning
Unsupervised learning
Apprentissage profond
MRI
Fluorescence microscopy
Multiple Sclerosis
Computing methodologies
Autonomous vehicles
Atrial Fibrillation
Autoencoder
NLP Natural Language Processing
Macroscopic traffic flow models
Federated learning
Echocardiography
Distributed optimization
Artificial Intelligence
Artificial intelligence
Knowledge graph
Dimensionality reduction
Alzheimer's disease
53B20
Convolutional neural networks
Image segmentation
Grammatical Evolution
Electronic medical record
Domain adaptation
Spiking neural networks
Deep Learning
Latent block model
Anomaly detection
Argument Mining
Dense labeling
Privacy
Extracellular matrix
Topological Data Analysis
Isomanifolds
Multi-Agent Systems
Diffusion MRI
FPGA
OPAL-Meso
Semantic segmentation
Deep learning
Image fusion
Semantic Web
Machine learning
Web of Things
Linked Data
Fibronectin
Hyperspectral data
Spiking Neural Networks
Excursion sets
Healthcare
Convolutional neural network
Diffusion strategy
Brain-inspired computing
COVID-19
Uncertainty
Differential privacy
Convergence analysis
Coxeter triangulation
SPARQL
Explainable AI
Graph neural networks
Linked data
CNN
Super-resolution
Clinical trials
Co-clustering
RDF
Simulations
Electrocardiogram