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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
Jane Marchand, Jérôme Buire, Vincent Debusschere, Nabil El Jarrai, Jean Pompee, et al.. USING LOCAL RENEWABLE ENERGY TO ENERGISE A MICROGRID: IMPACT OF THE SHARE OF GRID FORMING INVERTERS. 27th International Conference on Electricity Distribution (CIRED 2023), Jun 2023, Rome, Italy. pp.10338, ⟨10.1049/icp.2023.0449⟩. ⟨hal-04134420⟩
Collaborations
Number of fulltexts
1 046
Number of references
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Keywords
Deep Learning
Agriculture
Continuous positive airway pressure
Spatial resolution
Adherence
COVID-19
Hyperspectral imaging
Brain
Online learning
Hyperspectral
Detectors
Multispectral
Algorithmes
Big data
Evaluation
Image processing
Asymptotic stability
Agricultural exposome
Deep learning DL
Image segmentation
Nash equilibrium
Fairness
Backstepping
Data models
Dictionaries
Object detection
Semantic segmentation
Convolution
Predictive coding
Machine learning
Convolutional neural networks
Optimal control
Feature extraction
Privacy
Co-design
Innovation
Convex optimization
Super-resolution
Sleep apnea
Éthique
Unsupervised learning
Sex differences
Speech production
Endmember variability
Neural networks
Task analysis
Data fusion
Remote sensing
Manifold learning
Speech synthesis
Image fusion
Data analysis
Classification
Correlation
Santé numérique
Spectral clustering
Artificial Intelligence
Philosophie des techniques
Infinite-dimensional systems
Pansharpening
EHealth
Generative models
Machine Learning
Chronic obstructive pulmonary disease
EEG
Dimensionality reduction
Optimization
Kernel methods
Speech motor control
Digital health e-health
Ethics
Hyperspectral image
Random matrix theory
Deep learning
Stochastic differential equations
Scheduling
Training
Representation learning
Alternating direction method of multipliers ADMM
Simulation
Prediction
Audio-visual speech enhancement
Ethique de l'intelligence artificielle
Administrative health database
Automatic speech recognition
Telemonitoring
Self-supervised learning
Output feedback
Artificial intelligence
Image reconstruction
Digital public health
Stochastic approximation
Intelligence artificielle
Data mining
Autism
Optimal controller
Computer vision
Remote sensing RS
OSA
Spatial frequencies