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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
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Number of fulltexts
935
Number of references
601
Keywords
Optimal control
Sex differences
Co-design
Prediction
Manifold learning
Kernel methods
Convolutional neural networks
Spatial resolution
Sparsity
Obstructive sleep apnea
Image reconstruction
Big data
COVID-19
Asymptotic stability
Deep learning DL
Self-supervised learning
Adaptation models
Agriculture
Artificial intelligence
Speech motor control
Online learning
Remote sensing
Affect stories
Agricultural exposome
Nash equilibrium
Generative models
Algorithmes
Data analysis
Data visualization
Innovation
Dictionaries
Intelligence artificielle
Stochastic approximation
Stochastic differential equations
Predictive coding
Sleep apnea
Multispectral
Tensors
Automatic speech recognition
Data fusion
Adherence
Infinite-dimensional systems
Representation learning
Spectral clustering
Europe
Digital health e-health
Autism
Hyperspectral
Chronic obstructive pulmonary disease
Continuous positive airway pressure
Speech production
Machine learning
Stabilization
Telemonitoring
Image fusion
Scheduling
Object detection
Hyperspectral imaging
Privacy
Machine Learning
Éthique
Spatial frequencies
Semantic segmentation
Dimensionality reduction
Remote sensing RS
Deep Learning
Digital public health
Computer vision
Convex optimization
Task analysis
Hyperspectral image
Neural networks
Audio-visual speech enhancement
Pansharpening
Speech synthesis
Random matrix theory
Data mining
Feature extraction
Image processing
Variational inference
Evaluation
Unsupervised learning
Backstepping
Convolution
Data models
AI
Detectors
Fairness
AI Governance
Output feedback
OSA
Artificial Intelligence
Super-resolution
Alternating direction method of multipliers ADMM
Deep learning
Endmember variability
Ethics
Classification
Optimization
Training