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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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Nicolás Benjamín Ocampo, Elena Cabrio, Serena Villata. Unmasking the Hidden Meaning: Bridging Implicit and Explicit Hate Speech Embedding Representations. EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing, Dec 2023, Singapore, France. pp.6626-6637, ⟨10.18653/v1/2023.findings-emnlp.441⟩. ⟨hal-04351644v2⟩
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Nicolás Benjamín Ocampo, Ekaterina Sviridova, Elena Cabrio, Serena Villata. An In-depth Analysis of Implicit and Subtle Hate Speech Messages. EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, May 2023, Dubrovnik, France. pp.1997-2013, ⟨10.18653/v1/2023.eacl-main.147⟩. ⟨hal-04214094v2⟩
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Documents en texte intégral
668
Notices
304
Statistiques par discipline
Mots clés
Web of Things
MRI
Event cameras
Distributed optimization
Data augmentation
Cable-driven parallel robot
Computer vision
Apprentissage profond
Optimization
Semantic segmentation
Co-clustering
Super-resolution
Multi-Agent Systems
Image segmentation
Spiking neural networks
Unsupervised learning
Sparsity
Dimensionality reduction
Convolutional Neural Networks
Knowledge graphs
Extreme value theory
Topological Data Analysis
Electrophysiology
Convergence analysis
Graph signal processing
Electrocardiogram
Anomaly detection
Clustering
Image fusion
Healthcare
Artificial intelligence
Artificial Intelligence
Latent block model
Clinical trials
Electronic medical record
Biomarkers
Differential privacy
Consensus
Explainable AI
Convolutional neural network
Linked Data
Linked data
Autonomous vehicles
Semantic web
Segmentation
Alzheimer's disease
Deep Learning
Uncertainty
Extracellular matrix
Hyperbolic systems of conservation laws
Federated learning
Privacy
FPGA
COVID-19
Atrial Fibrillation
Argument Mining
Federated Learning
Visualization
Isomanifolds
Ontology Learning
Echocardiography
Contrastive learning
Coxeter triangulation
Macroscopic traffic flow models
Brain-inspired computing
Excursion sets
Neural networks
53B20
Hyperspectral data
Multiple Sclerosis
SPARQL
Predictive model
Embedded Systems
Autoencoder
Convolutional neural networks
Dense labeling
Domain adaptation
Arguments
Spiking Neural Networks
Grammatical Evolution
Computing methodologies
Change point detection
Knowledge graph
Information Extraction
Diffusion MRI
CNN
NLP Natural Language Processing
Graph neural networks
Medical imaging
Diffusion strategy
Deep learning
Persistent homology
Atrial fibrillation
Fibronectin
Computational Topology
RDF
Fluorescence microscopy
OPAL-Meso
Machine learning
Semantic Web