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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
993
Number of references
622
Keywords
Image reconstruction
Digital health e-health
Multispectral
Hyperspectral imaging
Manifold learning
Big data
Chronic obstructive pulmonary disease
Co-design
Optimal controller
Convolutional neural networks
Semantic segmentation
Infinite-dimensional systems
Data fusion
Kernel methods
Detectors
Prediction
Feature extraction
Stabilization
Speech motor control
Spatial resolution
Self-supervised learning
Training
Asymptotic stability
Dictionaries
OSA
Sleep apnea
Telemonitoring
Variational inference
COVID-19
Santé numérique
Remote sensing
Dimensionality reduction
Deep learning DL
Digital public health
Ethique de l'intelligence artificielle
Data mining
Predictive coding
Optimization
Hyperspectral image
Image fusion
Autism
AI
Machine learning
Spatial frequencies
Data models
Backstepping
EHealth
Correlation
Nash equilibrium
Adherence
Random matrix theory
Sex differences
Deep Learning
Hyperspectral
Computer vision
Evaluation
Tensors
Image segmentation
Stochastic approximation
Innovation
Audio-visual speech enhancement
Privacy
Speech production
Object detection
Artificial Intelligence
Intelligence artificielle
Artificial intelligence
Simulation
Spectral clustering
Remote sensing RS
Machine Learning
Stochastic differential equations
Pansharpening
Scheduling
Data analysis
Unsupervised learning
Endmember variability
Generative models
Convex optimization
Éthique
Task analysis
Optimal control
Alternating direction method of multipliers ADMM
Continuous positive airway pressure
Image processing
Ethics
Philosophie des techniques
Speech synthesis
Automatic speech recognition
Neural networks
Online learning
Deep learning
Fairness
Brain
Algorithmes
Convolution
Representation learning
Output feedback
Classification
Super-resolution