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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
Optimal control
Automatic speech recognition
OSA
Data mining
Ethics
Agricultural exposome
Hyperspectral image
Audio-visual speech enhancement
Big data
Adherence
Privacy
Training
Hyperspectral
Super-resolution
Artificial intelligence
Image reconstruction
Scheduling
Prediction
Stochastic approximation
Obstructive sleep apnea
Spatial frequencies
Tensors
Machine learning
Data models
Éthique
Remote sensing
Artificial Intelligence AI
Deep Learning
Variational inference
Spatial resolution
AI
Neural networks
Hyperspectral imaging
Alternating direction method of multipliers ADMM
Convolutional neural networks
Continuous positive airway pressure
Pansharpening
Infinite-dimensional systems
Deep learning DL
Algorithmes
Anomaly detection
Alternating direction method of multipliers
Autism
Remote sensing RS
Task analysis
Artificial Intelligence
COVID-19
Digital public health
Multispectral
Feature extraction
Optimization
Computer vision
Europe
Online learning
Affect stories
Generative models
Machine Learning
Classification
Air pollution
Speech synthesis
Chronic obstructive pulmonary disease
Stabilization
Sleep apnea
Random matrix theory
Dictionaries
Output feedback
Stochastic differential equations
Asymptotic stability
Deep learning
Evaluation
Predictive coding
Object detection
AI Governance
Manifold learning
Convex optimization
Dimensionality reduction
Intelligence artificielle
Speech motor control
Co-design
Sparsity
Convolution
Kernel methods
Attention mechanism
Detectors
Fairness
Representation learning
Data fusion
Nash equilibrium
Image fusion
Agriculture
Backstepping
Asymptotic normality
Semantic segmentation
Adaptation models
Endmember variability
Data visualization
Spectral clustering
Digital health e-health
Speech production
Unsupervised learning