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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
939
Number of references
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Keywords
Nash equilibrium
Deep Learning
Fairness
Endmember variability
Spectral clustering
Detectors
Automatic speech recognition
Agricultural exposome
Pansharpening
Co-design
Algorithmes
Evaluation
Self-supervised learning
Semantic segmentation
Speech motor control
Multispectral
Manifold learning
Image processing
Stochastic approximation
Online learning
Stochastic differential equations
Data mining
Artificial intelligence
Sex differences
Speech synthesis
Agriculture
Convolution
Chronic obstructive pulmonary disease
Tensors
Privacy
Hyperspectral
Output feedback
Prediction
Task analysis
Digital health e-health
Data fusion
Big data
Obstructive sleep apnea
Adaptation models
Asymptotic stability
COVID-19
Convolutional neural networks
Data analysis
Spatial resolution
Sleep apnea
AI
Image reconstruction
Telemonitoring
Convex optimization
Remote sensing RS
Image segmentation
Machine learning
Alternating direction method of multipliers ADMM
Europe
Innovation
Deep learning DL
Representation learning
Intelligence artificielle
Backstepping
Speech production
Computer vision
Stabilization
Dimensionality reduction
Remote sensing
Infinite-dimensional systems
Kernel methods
Dictionaries
Random matrix theory
Deep learning
Variational inference
Spatial frequencies
Neural networks
Artificial Intelligence
Image fusion
Adherence
Generative models
Optimization
Scheduling
Training
Predictive coding
Object detection
Machine Learning
Ethics
Unsupervised learning
Audio-visual speech enhancement
Affect stories
Continuous positive airway pressure
Data models
Classification
Hyperspectral imaging
Optimal control
AI Governance
Éthique
Autism
OSA
Hyperspectral image
Feature extraction
Super-resolution
Data visualization
Digital public health