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)."

 

 

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Keywords

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