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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
1 010
Number of references
646
Keywords
Kernel methods
Dictionaries
Scheduling
Remote sensing RS
Representation learning
Pansharpening
Optimal controller
Hyperspectral image
Random matrix theory
Philosophie des techniques
Semantic segmentation
Simulation
Privacy
Artificial Intelligence
Classification
Big data
Spatial frequencies
Remote sensing
Image reconstruction
Detectors
Santé numérique
Machine learning
Neural networks
Innovation
Stochastic approximation
Feature extraction
Predictive coding
Audio-visual speech enhancement
Training
Stabilization
Data analysis
Chronic obstructive pulmonary disease
Convolution
Alternating direction method of multipliers ADMM
Adherence
Co-design
Data models
Variational inference
Manifold learning
Output feedback
Data fusion
Speech synthesis
Dimensionality reduction
Éthique
Endmember variability
Optimal control
Algorithmes
Artificial intelligence
Deep learning DL
Continuous positive airway pressure
Spatial resolution
COVID-19
Deep learning
Fairness
Hyperspectral
Unsupervised learning
OSA
Data mining
Intelligence artificielle
Spectral clustering
Speech motor control
Autism
Image processing
Asymptotic stability
Machine Learning
Deep Learning
Ethics
Self-supervised learning
Nash equilibrium
EHealth
Stochastic differential equations
Multispectral
Sex differences
Brain
Automatic speech recognition
Generative models
Online learning
Task analysis
EEG
Evaluation
Sleep apnea
Telemonitoring
Prediction
Convolutional neural networks
Backstepping
Image segmentation
Ethique de l'intelligence artificielle
Image fusion
Convex optimization
Tensors
Speech production
Object detection
Correlation
Digital health e-health
Optimization
Hyperspectral imaging
Digital public health
Infinite-dimensional systems
Computer vision
Super-resolution