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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)."
Derniers dépôts
Collaborations
Number of fulltexts
864
Number of references
586
Keywords
Tensors
Variational inference
Artificial Intelligence AI
Nash equilibrium
Manifold learning
Multispectral
Europe
Kernel methods
Online learning
Neural networks
Digital public health
Feature extraction
Convolutional neural networks
Computer vision
Artificial Intelligence
Speech synthesis
Stochastic differential equations
Output feedback
Anomaly detection
Classification
Speech production
Random matrix theory
Chronic obstructive pulmonary disease
Convex optimization
Training
Biometrics
Alternating direction method of multipliers ADMM
Algorithmes
Object detection
Infinite-dimensional systems
Agricultural exposome
Data models
Asymptotic stability
Digital health e-health
COVID-19
Affect stories
Stabilization
Data mining
Scheduling
Ethics
Spatial resolution
Evaluation
Speech motor control
Attention mechanism
AI Governance
Privacy
Detectors
Deep learning
CPAP
Fairness
Sparsity
Convolution
Machine Learning
Endmember variability
Hyperspectral
Remote sensing
Continuous positive airway pressure
Adaptation models
Dictionaries
Asymptotic normality
Adherence
Air pollution
Optimal control
AI
Remote sensing RS
Optimization
Automatic speech recognition
Brain
Spectral clustering
Agriculture
Dimensionality reduction
Deep learning DL
Intelligence artificielle
Backstepping
Generative models
Stochastic approximation
Sleep apnea
Hyperspectral image
Representation learning
Pansharpening
Data visualization
Artificial intelligence
Deep Learning
Data fusion
Obstructive sleep apnea
Prosody
Co-design
Image fusion
Super-resolution
Hyperspectral imaging
Big data
Éthique
Audio-visual speech enhancement
Image reconstruction
Alternating direction method of multipliers
Unsupervised learning
Machine learning
Community detection
Task analysis
Prediction