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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
Innovation
Semantic segmentation
Feature extraction
Data mining
Hyperspectral
Image fusion
Algorithmes
Continuous positive airway pressure
Speech synthesis
Online learning
Privacy
Detectors
Asymptotic stability
Digital health e-health
Deep learning
Kernel methods
Autism
Variational inference
Optimal controller
Task analysis
Ethique de l'intelligence artificielle
Adherence
Audio-visual speech enhancement
Automatic speech recognition
Big data
Spatial resolution
Remote sensing
Unsupervised learning
Telemonitoring
Brain
Backstepping
Computer vision
Deep learning DL
Co-design
Prediction
Speech motor control
Convolutional neural networks
Spectral clustering
Simulation
Sleep apnea
Optimal control
Training
Generative models
Speech production
Machine learning
Infinite-dimensional systems
Image reconstruction
Fairness
Stochastic differential equations
Object detection
Predictive coding
Stabilization
Scheduling
Convex optimization
Neural networks
OSA
Representation learning
Chronic obstructive pulmonary disease
Dimensionality reduction
Output feedback
EEG
Machine Learning
Remote sensing RS
Data analysis
Image processing
Dictionaries
Self-supervised learning
Philosophie des techniques
Alternating direction method of multipliers ADMM
EHealth
Image segmentation
Pansharpening
Endmember variability
Nash equilibrium
Super-resolution
Data fusion
Éthique
Spatial frequencies
Artificial intelligence
Ethics
Hyperspectral imaging
COVID-19
Optimization
Data models
Convolution
Sex differences
Tensors
Intelligence artificielle
Stochastic approximation
Deep Learning
Manifold learning
Evaluation
Random matrix theory
Santé numérique
Hyperspectral image
Artificial Intelligence
Digital public health
Classification
Correlation
Multispectral