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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 article was developed in the framework of the MIAI@Grenoble Alpes, supported by the French National Research Agency under the " Investissements d’avenir” program (ANR-19-PIA-0003)."

 

 

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Keywords

Unsupervised learning Homophily Nonnegative matrix factorization Algorithmic fairness Anesthesia Alternating direction method of multipliers Hyperspectral State Observer Algorithmes d’ordonnancement Affective computing Spectral variability Hyperspectral image unmixing Appearance Modeling LiDAR Annotations management Zero resource speech technology Ambient Intelligence 68T05 Regret Image processing Activité neuronale Concentration of measure Machine Learning Edge 3D ultrasound Actimetry systems Adjoint method Intraoperative ultrasound Generative models Dynamic Epistemic Logic Variational auto-encoder Synchronverter Dishonesty Machine learning Alternating optimization Noise measurement Anytime clustering Spatial derivatives Adaptation models Language documentation Synchronous Machine Neurosurgery Laycan allocation Agent communication Data fusion Hyperspectral imaging Self-Selection Bias Convex optimization 3D Ultrasound image Deep Learning Spatiotemporal disjunctive constraints Model Order Reduction 68Q32 90C15 Adult intensive & critical care Speech synthesis Agreement Spectral clustering BERT Allocation des postes à quai Simulation Variational inference ISM clouds Computational language documentation French Gestion portuaire Algorithm portfolio Remote sensing Power Generation Spectral unmixing Attention mechanism 37N40 Non-convex optimization Acoustic unit discovery 62L20 Kernel methods Low-resource languages Endmember variability 2020 Mathematics Subject Classification Primary 90C26 Peer Effects Apical dendrites Speech enhancement Berth allocation ASIC Allocation des planches Deep learning Adjusted Rand Index Activity recognition Approximate Bayesian computation Signal extraction 37N40 Approches multilingues Alignment repair Aggregate channel features ACFs Audio-visual speech enhancement Sequence-to-sequence models Random matrix theory ISM molecules Convolutional Neural Network Inverse regression 2010 MSC Secondary 62M45 Methods statistical