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MIAI Grenoble Alpes (Multidisciplinary Institute in Artificial Intelligence) aims to conduct research in artificial intelligence at the highest level, to offer attractive courses for students and professionals of all levels, to support innovation in large companies, SMEs and startups and to inform and interact with citizens on all aspects of AI.
The activities of MIAI Grenoble Alpes are structured around two main themes : future AI systems and AI for human beings the environment.
Instructions to authors: If your research work has been supported by the MIAI Grenoble Alpes, please mention in your article: "This work has been partially supported by MIAI@Grenoble Alpes, (ANR-19-P3IA-0003)."
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Number of references
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Keywords
Privacy
Speech motor control
Stochastic approximation
Image reconstruction
Multispectral
Alternating direction method of multipliers ADMM
Innovation
Digital public health
Spatial resolution
Random matrix theory
Speech synthesis
Backstepping
Classification
Infinite-dimensional systems
Nash equilibrium
Evaluation
Dimensionality reduction
Philosophie des techniques
Manifold learning
Deep Learning
Éthique
Telemonitoring
Unsupervised learning
Ethique de l'intelligence artificielle
Brain
Deep learning
Representation learning
Dictionaries
Ethics
Semantic segmentation
Hyperspectral imaging
Image fusion
Convex optimization
Tensors
Stochastic differential equations
Deep learning DL
Autism
Simulation
Data analysis
Generative models
Optimal controller
Fairness
Data fusion
Adherence
Artificial intelligence
Spatial frequencies
Optimization
Convolution
Speech production
Spectral clustering
Self-supervised learning
Hyperspectral image
Training
Output feedback
Machine Learning
Image processing
Object detection
Sleep apnea
OSA
Chronic obstructive pulmonary disease
Correlation
Scheduling
Intelligence artificielle
Continuous positive airway pressure
Task analysis
Digital health e-health
Remote sensing
Remote sensing RS
Algorithmes
Image segmentation
Detectors
Computer vision
Hyperspectral
Artificial Intelligence
Kernel methods
Big data
Data mining
Feature extraction
Endmember variability
Predictive coding
Convolutional neural networks
Stabilization
Super-resolution
Audio-visual speech enhancement
Machine learning
Asymptotic stability
EHealth
Sex differences
Neural networks
Prediction
Online learning
Santé numérique
Variational inference
Co-design
COVID-19
Automatic speech recognition
EEG
Pansharpening
Optimal control
Data models