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