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