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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
Edoardo Bianchini, Silvia Galli, Marika Alborghetti, Lanfranco de Carolis, Alessandro Zampogna, et al.. Four Days Are Enough to Provide a Reliable Daily Step Count in Mild to Moderate Parkinson’s Disease through a Commercial Smartwatch. Sensors, 2023, 23 (21), pp.8971. ⟨10.3390/s23218971⟩. ⟨hal-04421266⟩ Matthias Chardon, Fabio Barbieri, Tiago Penedo, Paulo Santos, Nicolas Vuillerme. A Systematic Review of the Influence of Overweight and Obesity across the Lifespan on Obstacle Crossing during Walking. International Journal of Environmental Research and Public Health, 2023, 20 (11), pp.5931. ⟨10.3390/ijerph20115931⟩. ⟨hal-04421283⟩ Jean-Louis Pépin, Sébastien Bailly, Joelle B Texereau, Emmanuel Sonnet, Sylvie Picard, et al.. Prevalence of sleep apnea in patients with type 1 diabetes and its association with comorbidities and diabetic complications: A French nationwide prospective study. American Thoracic Society International Conference, May 2023, WASHINGTON DC, United States. ⟨hal-04759551⟩
Collaborations
Number of fulltexts
972
Number of references
629
Keywords
Stochastic approximation
Representation learning
Hyperspectral image
Data analysis
Big data
Data mining
Neural networks
Remote sensing RS
Santé numérique
Multispectral
Endmember variability
Image reconstruction
Spectral clustering
Random matrix theory
EHealth
Optimal controller
Philosophie des techniques
Feature extraction
Self-supervised learning
Autism
Audio-visual speech enhancement
Spatial frequencies
Object detection
Stabilization
Convex optimization
Co-design
Computer vision
Image fusion
Dimensionality reduction
Stochastic differential equations
Deep Learning
Machine learning
Machine Learning
Scheduling
Chronic obstructive pulmonary disease
Asymptotic stability
Digital public health
OSA
Éthique
Data models
Deep learning DL
Detectors
Convolutional neural networks
Artificial intelligence
Predictive coding
AI
Alternating direction method of multipliers ADMM
Continuous positive airway pressure
Privacy
Image segmentation
Innovation
Speech production
Task analysis
Sex differences
Nash equilibrium
Digital health e-health
Prediction
Simulation
Speech synthesis
Pansharpening
Hyperspectral
Ethics
Convolution
Intelligence artificielle
Infinite-dimensional systems
Correlation
Generative models
Backstepping
Kernel methods
Tensors
Sleep apnea
Speech motor control
Training
Image processing
Adherence
Unsupervised learning
Output feedback
Manifold learning
Evaluation
Automatic speech recognition
Remote sensing
Ethique de l'intelligence artificielle
Semantic segmentation
Variational inference
Super-resolution
Optimization
Hyperspectral imaging
Data fusion
Telemonitoring
Fairness
Dictionaries
Brain
COVID-19
Classification
Spatial resolution
Deep learning
Online learning
Artificial Intelligence
Optimal control
Algorithmes