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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
Nicolas Monge, Massih-Reza Amini, Alexis Deschamps. Influence of device configuration and noise on a machine learning predictor for the selection of nanoparticle small-angle X-ray scattering models. Acta Crystallographica Section A : Foundations and Advances [2014-..], 2024, 80 (6), pp.405-413. ⟨10.1107/S2053273324007988⟩. ⟨hal-04785237⟩
Collaborations
Number of fulltexts
990
Number of references
627
Keywords
Neural networks
Speech motor control
Santé numérique
Remote sensing
Fairness
Digital public health
Hyperspectral
Convex optimization
Convolution
Manifold learning
OSA
Artificial intelligence
Computer vision
Alternating direction method of multipliers ADMM
Spectral clustering
Asymptotic stability
Super-resolution
Data mining
Online learning
Prediction
Scheduling
Intelligence artificielle
Data models
Unsupervised learning
Ethics
Nash equilibrium
Task analysis
Representation learning
Backstepping
Machine learning
Output feedback
Co-design
Data analysis
Ethique de l'intelligence artificielle
Chronic obstructive pulmonary disease
Machine Learning
Image fusion
Training
Deep learning DL
Feature extraction
Stochastic approximation
Optimal control
Remote sensing RS
Hyperspectral image
Dimensionality reduction
Detectors
Semantic segmentation
Kernel methods
Spatial frequencies
AI
Innovation
Multispectral
EHealth
Data fusion
Deep learning
COVID-19
Éthique
Spatial resolution
Pansharpening
Privacy
Deep Learning
Image segmentation
Tensors
Big data
Dictionaries
Classification
Artificial Intelligence
Endmember variability
Adherence
Stabilization
Optimal controller
Infinite-dimensional systems
Image reconstruction
Audio-visual speech enhancement
Object detection
Telemonitoring
Correlation
Speech synthesis
Sleep apnea
Random matrix theory
Generative models
Brain
Hyperspectral imaging
Optimization
Simulation
Algorithmes
Predictive coding
Variational inference
Evaluation
Autism
Automatic speech recognition
Continuous positive airway pressure
Stochastic differential equations
Image processing
Sex differences
Digital health e-health
Convolutional neural networks
Self-supervised learning
Philosophie des techniques
Speech production