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