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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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References
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Francesco Galati, Daniele Falcetta, Rosa Cortese, Barbara Casolla, Ferran Prados, et al.. A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation. BMVC 2023, 34th British Machine Vision Conference, Nov 2023, Aberdeen, United Kingdom. ⟨hal-04195756v2⟩
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Ravi Hassanaly, Camille Brianceau, Olivier Colliot, Ninon Burgos. Unsupervised anomaly detection in 3D brain FDG PET: A benchmark of 17 VAE-based approaches. Deep Generative Models workshop at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Oct 2023, Vancouver, Canada. ⟨hal-04185304⟩
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Olivier Flasseur, Théo Bodrito, Julien Mairal, Jean Ponce, Maud Langlois, et al.. Combining multi-spectral data with statistical and deep-learning models for improved exoplanet detection in direct imaging at high contrast. EUSIPCO 2023 - European Signal Processing Conference, Sep 2023, Helsinki, Finland. pp.1-5. ⟨hal-04136362⟩
Keywords
Kernel methods
Simulation
RNA localization
Semantics
Medical imaging
Software
Active learning
Apprentissage faiblement supervisé
Huntington's disease
Wavelets
Genomics
Bayesian logistic regression
Dimensionality reduction
Machine Learning
Clinical data warehouse
Longitudinal data
CamemBERT
Transcriptomics
Choroid plexus
Sparsity
ASPM
Neural networks
Clustering
Cancer
Whole slide images
Deep Learning
Hippocampus
Graph alignment
Complex systems
Alzheimer's Disease
Computational modeling
Alzheimer's disease
Computer vision
Brain MRI
Convex optimization
Self-supervised learning
Longitudinal study
Adaptation
Ensemble learning
Deep learning
Classification
Magnetic resonance imaging
ADNI
Stochastic optimization
Poetry generation
Representation learning
Object discovery
Human-in-the-loop
Computer Vision
Brain
Contrastive predictive coding
Anatomical MRI
Mixture models
Weakly-supervised learning
Reinforcement learning
Alzheimer
Prediction
Clinical Data Warehouse
Data visualization
Association
Artificial intelligence
Optimization
Convexity shape prior
Riemannian geometry
BCI
Validation
SmFISH
Data imputation
Interpretability
Computational Pathology
BERT
Multiple sclerosis
Curvature penalization
Clinical trial
Machine learning
Kalman filter
Image processing
Breast cancer
Bias
Functional connectivity
French
Literature
Image synthesis
Alzheimer’s disease
Attention Mechanism
PET
HIV
Neuroimaging
Reproducibility
Multiple Sclerosis
Microscopy
Action recognition
Electronic health records
MRI
Apprentissage par renforcement
Variational autoencoder
Object detection
Confidence interval
Dementia
Segmentation
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