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