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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
Lei Zan, Charles K Assaad, Emilie Devijver, Eric Gaussier, Ali Aït-Bachir. On the Fly Detection of Root Causes from Observed Data with Application to IT Systems. CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management, Oct 2024, Boise, ID, United States. pp.5062-5069, ⟨10.1145/3627673.3680010⟩. ⟨hal-04785797⟩
Collaborations
Number of fulltexts
998
Number of references
621
Keywords
Super-resolution
Output feedback
Digital health e-health
Image fusion
Innovation
Hyperspectral image
Computer vision
Neural networks
Ethics
Co-design
Self-supervised learning
AI
Machine learning
COVID-19
Online learning
Éthique
Data models
Image reconstruction
Evaluation
Task analysis
Convex optimization
Big data
Generative models
Correlation
Privacy
Variational inference
Intelligence artificielle
Philosophie des techniques
Deep learning
Machine Learning
Classification
Semantic segmentation
Random matrix theory
Manifold learning
Alternating direction method of multipliers ADMM
Santé numérique
Prediction
Endmember variability
Autism
Representation learning
Hyperspectral imaging
Predictive coding
Remote sensing
Stochastic approximation
Detectors
Image segmentation
Dictionaries
Dimensionality reduction
Scheduling
Asymptotic stability
Brain
Spatial resolution
Sleep apnea
Speech motor control
Deep Learning
Image processing
Infinite-dimensional systems
Kernel methods
Tensors
Data fusion
Deep learning DL
Algorithmes
Optimization
Chronic obstructive pulmonary disease
Simulation
Optimal controller
Spectral clustering
Object detection
Audio-visual speech enhancement
Data analysis
Automatic speech recognition
Data mining
Sex differences
OSA
Nash equilibrium
Speech synthesis
Digital public health
Convolution
Continuous positive airway pressure
EHealth
Backstepping
Stabilization
Unsupervised learning
Optimal control
Telemonitoring
Training
Artificial Intelligence
Ethique de l'intelligence artificielle
Hyperspectral
Multispectral
Spatial frequencies
Convolutional neural networks
Feature extraction
Fairness
Pansharpening
Remote sensing RS
Speech production
Adherence
Artificial intelligence
Stochastic differential equations