Loading...
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
Roberto Dragone, Giorgio Licciardi, Gerardo Grasso, Costantino del Gaudio, Jocelyn Chanussot. Analysis of the Chemical and Physical Environmental Aspects that Promoted the Spread of SARS-CoV-2 in the Lombard Area. International Journal of Environmental Research and Public Health, 2021, 18 (3), pp.1226. ⟨10.3390/ijerph18031226⟩. ⟨hal-03429704⟩
Collaborations
Number of fulltexts
975
Number of references
628
Keywords
Co-design
Optimal control
Santé numérique
Convolution
Artificial intelligence
Prediction
Artificial Intelligence
Unsupervised learning
Online learning
Autism
Pansharpening
Kernel methods
Brain
Computer vision
Representation learning
Alternating direction method of multipliers ADMM
Predictive coding
Deep learning
Task analysis
Privacy
Scheduling
Tensors
Stochastic differential equations
Optimal controller
Backstepping
Object detection
Training
Classification
Hyperspectral imaging
Deep learning DL
Semantic segmentation
Algorithmes
Machine learning
Remote sensing RS
Chronic obstructive pulmonary disease
Multispectral
Nash equilibrium
Image segmentation
Spectral clustering
Innovation
Detectors
Spatial resolution
Variational inference
Simulation
COVID-19
Audio-visual speech enhancement
Ethique de l'intelligence artificielle
Infinite-dimensional systems
Philosophie des techniques
AI
Image fusion
Dictionaries
Hyperspectral image
OSA
Image processing
Automatic speech recognition
Data fusion
Data analysis
Digital public health
Generative models
Dimensionality reduction
Manifold learning
Éthique
Hyperspectral
Digital health e-health
Stabilization
Evaluation
Image reconstruction
Stochastic approximation
Fairness
Speech synthesis
Random matrix theory
Asymptotic stability
Adherence
Continuous positive airway pressure
Neural networks
Big data
Self-supervised learning
Data mining
Telemonitoring
Machine Learning
Ethics
Correlation
Speech production
Output feedback
Intelligence artificielle
Endmember variability
Remote sensing
Speech motor control
Sleep apnea
Convex optimization
Deep Learning
Data models
Feature extraction
Super-resolution
Spatial frequencies
EHealth
Convolutional neural networks
Sex differences
Optimization