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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)."
Derniers dépôts
Hady Elsahar, Maximin Coavoux, Matthias Gallé, Jos Rozen. Self-Supervised and Controlled Multi-Document Opinion Summarization. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Apr 2021, Online, Unknown Region. pp.1646--1662. ⟨hal-03241932⟩ Paloma Palm von Alten Blaskowitz, Anna-Maria Liphardt, Claudia Bouzas, Birte Coppers, Pascal Petit, et al.. Impact of the digital health application ViViRA on spinal mobility, physical function, quality of life and pain perception in spondyloarthritides patients: a randomized controlled trial. Arthritis Research & Therapy, 2024, 26 (1), pp.208. ⟨10.1186/s13075-024-03443-1⟩. ⟨hal-04844205⟩
Collaborations
Number of fulltexts
1 009
Number of references
647
Keywords
Adherence
Detectors
Data analysis
Convex optimization
Kernel methods
Training
Intelligence artificielle
Deep learning
Audio-visual speech enhancement
Endmember variability
Deep learning DL
Telemonitoring
Chronic obstructive pulmonary disease
Computer vision
Infinite-dimensional systems
Tensors
EHealth
Nash equilibrium
Speech synthesis
Stabilization
Sleep apnea
Spectral clustering
Multispectral
Predictive coding
Super-resolution
Hyperspectral image
Sex differences
Speech production
Algorithmes
Prediction
Stochastic approximation
Convolutional neural networks
Image segmentation
Machine learning
Pansharpening
Online learning
Image reconstruction
Deep Learning
Feature extraction
Generative models
Fairness
Dimensionality reduction
Simulation
Éthique
Stochastic differential equations
Neural networks
Alternating direction method of multipliers ADMM
Object detection
Ethique de l'intelligence artificielle
Remote sensing RS
Artificial intelligence
Optimal controller
Optimal control
Continuous positive airway pressure
Asymptotic stability
Data fusion
Representation learning
Spatial resolution
Dictionaries
Evaluation
Remote sensing
Digital health e-health
Hyperspectral
Semantic segmentation
Privacy
Random matrix theory
EEG
Image processing
Spatial frequencies
Unsupervised learning
Big data
Brain
Convolution
Output feedback
Philosophie des techniques
Classification
Ethics
Task analysis
OSA
Machine Learning
Autism
Data models
Manifold learning
Innovation
Data mining
Co-design
Artificial Intelligence
Automatic speech recognition
Image fusion
Backstepping
Digital public health
Variational inference
Correlation
Hyperspectral imaging
Santé numérique
Speech motor control
Optimization
COVID-19
Self-supervised learning
Scheduling