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Welcome on HAL open archive of PaRis AI Research InstitutE
3AI Plan
The Prairie Institute (PaRis AI Research InstitutE) is one of the four French Institutes of Artificial Intelligence, which were created as part of the national French initiative on AI announced by President Emmanuel Macron on May 29, 2018.
A major part of this ambitious plan, which has a total budget of one billion euros, was the creation of a small number of interdisciplinary AI research institutes (or “3IAs” for “Instituts Interdisciplinaires d’Intelligence Artificielle”). After an open call for participation in July 2018 and two rounds of review by an international scientific committee, the Grenoble, Nice, Paris and Toulouse projects have officially received the 3IA label on April 24, 2019, with a total budget of 75 million Euros.
For more information about PaRis AI Research InstitutE, see our web site.
The Prairie Institute (PaRis AI Research InstitutE) is one of the four French Institutes of Artificial Intelligence, which were created as part of the national French initiative on AI announced by President Emmanuel Macron on May 29, 2018.
A major part of this ambitious plan, which has a total budget of one billion euros, was the creation of a small number of interdisciplinary AI research institutes (or “3IAs” for “Instituts Interdisciplinaires d’Intelligence Artificielle”). After an open call for participation in July 2018 and two rounds of review by an international scientific committee, the Grenoble, Nice, Paris and Toulouse projects have officially received the 3IA label on April 24, 2019, with a total budget of 75 million Euros.
For more information about PaRis AI Research InstitutE, see our web site.
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Guanghui Fu, Lucia Nichelli, Dario Herran, Romain Valabregue, Agusti Alentorn, et al.. Comparing foundation models and nnU-Net for segmentation of primary brain lymphoma on clinical routine post-contrast T1-weighted MRI. SPIE Image Processing, SPIE, Feb 2025, San diego (Californie), United States. ⟨hal-04447318v4⟩
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Keywords
Multiple sclerosis
Reproducibility
Language acquisition
Online learning
Computational Pathology
Natural language processing
Computational Literary Studies
Robustness
LLMs
Self-supervised learning
Vision par ordinateur
MT
Exoplanet detection
Segmentation
Alzheimer’s disease
Direct access
Machine Learning
Classification
Curvature penalization
Computer Vision
Computational modeling
Reinforcement learning
Computer Vision and Pattern Recognition csCV
Bias
Clinical data warehouse
Breast cancer
Computer vision
Computational social choice
Deep learning
Image synthesis
French
Apprentissage automatique
Computational pathology
Hippocampus
Clinical Data Warehouse
Object detection
BERT
Kalman filter
Functional connectivity
Longitudinal data
HIV
Machine learning
Image processing
Cross-validation
FOS Mathematics
Deep generative models
Portrait quality assessment
Artificial intelligence
Whole slide images
Alzheimer's Disease
Algorithms
Robotics
Convex optimization
Adaptation
Evaluation
Alzheimer's disease
Large language models
Magnetic resonance imaging
Machine translation
Mixture models
Riemannian geometry
Neural networks
Deformable models
Dementia
FOS Computer and information sciences
Conjunctive queries
Shared task
Data imputation
Phylodynamics
Software
Graph alignment
Interpretability
Wavelets
Representation learning
Clustering
Loss function
Transfer learning
Action recognition
Medical imaging
RNA localization
Validation
Brain MRI
Microscopy
Simulation
Kernel methods
Neuroimaging
Ensemble learning
Data Augmentation
Apprentissage profond
Electronic health records
Cancer
Literature
Brain
MRI
Context aware machine translation
Variational autoencoder
Optimization
Data visualization
Deep Learning
Prediction
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