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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)."

 

 

 

 

  

Number of fulltext

675

Number of reference

380

Keywords

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