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)."

 

 

 

Collaborations

 

 

Number of fulltexts

997

Number of references

622

Keywords

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