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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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Fusion Hyperspectral imaging Automatic speech recognition Adaptation models Multispectral Knowledge diversity Classification Infinite-dimensional systems Deep learning DL Object detection Semi-supervised learning Dynamic Epistemic Logic Flexibility Endmember variability Remote sensing RS Online learning France Intelligence artificielle Fairness Data processing Detectors Convolutional neural networks COVID-19 Dictionaries Neural networks Learning systems Computational language documentation Estimation Speech synthesis Brain Adherence Dimensionality reduction Unsupervised learning Manifold learning Backstepping Community detection Hyperspectral AI Governance Generative models Feature extraction Graph signal processing Chronic obstructive pulmonary disease Task analysis Kernel methods Artificial Intelligence AI Prediction Representation learning Hyperspectral image Label-efficient learning Big data Tensors Image reconstruction Data models Optimal control Remote sensing Image segmentation Optimization Data mining Speech production Deep learning Algorithmes Correlation Nonsmooth optimization Stochastic approximation Pansharpening Biometrics Ethics Audio-visual speech enhancement Dynamic binary translation Stabilization Scattering Laycan allocation Convex optimization Convolution Privacy Artificial Intelligence Variational inference Deep Learning Computer vision Computer architecture Emotional facial expressions Machine learning Spectral clustering Multimodal Output feedback Éthique Artificial intelligence Training Image fusion Random matrix theory Ontology alignment Joint learning Data fusion Europe Innovation Spatial resolution Discrete event simulation Machine Learning Dysgraphia Image processing