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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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Label-efficient learning Artificial Intelligence AI Ontology alignment AI Governance Optimization Kernel Spectral clustering Random matrix theory Deep learning Semi-supervised learning Audio-visual speech enhancement Innovation Intelligence artificielle Ethics Adaptation models Manifold learning Image reconstruction Data fusion Computer vision Deep learning DL Image processing Language documentation Laser radar Automatic speech recognition Privacy Kernel methods Convolutional neural networks 62L20 Fusion Remote sensing RS Dictionaries Sequence-to-sequence models Agent communication Object detection Laycan allocation Big data Machine Learning Data mining Unsupervised learning Stochastic approximation Dysgraphia Multispectral Hyperspectral Machine learning Remote sensing Detectors Acoustic unit discovery Hyperspectral imaging Europe Dynamic binary translation Variational inference Convolution Land use classification Chronic obstructive pulmonary disease Speech production Discrete event simulation Knowledge diversity Dynamic Epistemic Logic Optimal control Task analysis Emotional facial expressions Image fusion Algorithmes Spatial resolution Classification Artificial Intelligence Computer architecture Training Generative models Speech synthesis Representation learning Adherence Nonsmooth optimization Computational language documentation COVID-19 Neural networks Artificial intelligence Biometrics Affective computing Convex optimization Joint learning Graph signal processing Feature extraction Air pollution Correlation Data models Pansharpening Algorithm Infinite-dimensional systems Deep Learning Hyperspectral image Inverse regression Estimation Tensors Community detection Fairness Online learning Endmember variability Learning systems Dimensionality reduction