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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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Sleep apnea Expectation-maximization Allocation des planches Dynamic Epistemic Logic Semantic segmentation Automatic speech recognition Eigenvalues and eigenfunctions Anesthesia Dictionary learning Variational auto-encoder Classification Multispectral Optimal control Remote sensing Delays Deep learning DL Artificial Intelligence Multi-agent systems Attention mechanism Hyperspectral imaging Audio-visual speech enhancement Dynamic binary translation Smoothing MRI Sequence-to-sequence models Asymptotic normality Manifold learning Big data Closed loop systems Dictionaries Dysgraphia Computer ethics Adaptation models Variational inference Stochastic approximation Autism spectrum disorder Data fusion Laycan allocation Neural networks Alternating direction method of multipliers Fairness AI Governance Adherence Deep learning Artificial neural networks Spectral clustering Machine Learning COVID-19 Emotional facial expressions Deep neural network Dimensionality reduction Biometrics Artificial intelligence Correlation Random spanning forests Endmember variability Computational Language Documentation Berth allocation Ontology alignment Graph signal processing Remote sensing RS Convex optimization CPAP Allocation des postes à quai Europe Cross modality Computational language documentation Machine learning Algorithms Intelligence artificielle Formal Concept Analysis Inverse regression Attention Joint learning Ethics Autoencoder Alignment repair Deep Learning Community detection Agent communication Acoustic unit discovery Unsupervised learning Spectral unmixing Feature learning End-to-end system 62L20 Generative models Air pollution Language documentation Mathematical model Speech enhancement Fusion Representation learning Concentration of measure Task analysis Hyperspectral Extended Kalman Filter Convolutional Neural Network Discrete event simulation Random matrix theory