Skip to Main content Skip to Navigation

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)."

 

 

Derniers dépôts

Chargement de la page

 

 

 

Number of fulltext

242

Number of reference

111

Keywords

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