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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 fulltexts
890
Number of references
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Keywords
Nash equilibrium
Manifold learning
Scheduling
Remote sensing
Asymptotic normality
Stochastic differential equations
Evaluation
Kernel methods
Spatial resolution
Hyperspectral imaging
Random matrix theory
Representation learning
Obstructive sleep apnea
AI
Ethics
Data visualization
Europe
Dimensionality reduction
Data mining
Automatic speech recognition
Speech synthesis
Tensors
Detectors
Deep learning DL
Stochastic approximation
Machine learning
Adherence
Convex optimization
Affect stories
Hyperspectral image
Attention mechanism
Algorithmes
Agricultural exposome
Stabilization
Infinite-dimensional systems
Data models
Alternating direction method of multipliers
Intelligence artificielle
Remote sensing RS
Big data
Multispectral
OSA
Classification
Object detection
Optimal control
Predictive coding
Deep Learning
Image fusion
Privacy
Image reconstruction
Éthique
Speech production
Deep learning
Autism
Co-design
Prediction
Hyperspectral
Speech motor control
Digital public health
Audio-visual speech enhancement
Endmember variability
Training
Computer vision
Spectral clustering
Asymptotic stability
Fairness
Convolutional neural networks
COVID-19
Agriculture
Convolution
Artificial intelligence
Spatial frequencies
Task analysis
Anomaly detection
AI Governance
Sleep apnea
Output feedback
Variational inference
Neural networks
Artificial Intelligence
Unsupervised learning
Pansharpening
Data fusion
Sparsity
Backstepping
Super-resolution
Feature extraction
Online learning
Continuous positive airway pressure
Optimization
Semantic segmentation
Chronic obstructive pulmonary disease
Digital health e-health
Artificial Intelligence AI
Adaptation models
Dictionaries
Air pollution
Machine Learning
Generative models
Alternating direction method of multipliers ADMM