index - Multidisciplinary Institute in Artificial intelligence - Grenoble Alpes

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

Chargement de la page

 

Collaborations

 

 

Number of fulltexts

1 003

Number of references

627

Keywords

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