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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
592
Keywords
Online learning
Convolution
Convex optimization
Multispectral
Artificial Intelligence AI
Convolutional neural networks
Sparsity
Automatic speech recognition
Hyperspectral imaging
Hyperspectral
Scheduling
Manifold learning
Hyperspectral image
Super-resolution
OSA
Endmember variability
Agricultural exposome
Asymptotic normality
Affect stories
Adherence
Object detection
Image fusion
COVID-19
Continuous positive airway pressure
Data models
Data fusion
Attention mechanism
Data visualization
Stochastic approximation
Autism
Adaptation models
Output feedback
Obstructive sleep apnea
Éthique
Unsupervised learning
Remote sensing RS
Digital health e-health
Task analysis
AI
Deep Learning
Chronic obstructive pulmonary disease
Dictionaries
Data mining
Generative models
Spectral clustering
Detectors
Alternating direction method of multipliers ADMM
Feature extraction
Optimization
Spatial frequencies
Neural networks
Privacy
Infinite-dimensional systems
Tensors
Artificial intelligence
AI Governance
Computer vision
Classification
Sleep apnea
Speech production
Air pollution
Stochastic differential equations
Kernel methods
Big data
Artificial Intelligence
Anomaly detection
Evaluation
Intelligence artificielle
Predictive coding
Backstepping
Variational inference
Representation learning
Speech synthesis
Machine learning
Asymptotic stability
Dimensionality reduction
Pansharpening
Fairness
Optimal control
Stabilization
Digital public health
Ethics
Co-design
Spatial resolution
Agriculture
Machine Learning
Speech motor control
Europe
Semantic segmentation
Image reconstruction
Training
Alternating direction method of multipliers
Nash equilibrium
Deep learning DL
Prediction
Algorithmes
Deep learning
Audio-visual speech enhancement
Random matrix theory
Remote sensing