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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
997
Number of references
622
Keywords
Convex optimization
Kernel methods
Sleep apnea
Task analysis
Variational inference
Stochastic differential equations
Endmember variability
Manifold learning
Spatial frequencies
Multispectral
OSA
Data fusion
Image fusion
Convolution
Artificial Intelligence
Deep learning DL
Brain
Image segmentation
Machine Learning
Detectors
Dictionaries
Computer vision
Privacy
Output feedback
Dimensionality reduction
Nash equilibrium
Speech production
Autism
Object detection
Data models
Digital public health
Feature extraction
COVID-19
EHealth
Spatial resolution
Ethics
Stochastic approximation
Optimal controller
Machine learning
Super-resolution
Backstepping
Ethique de l'intelligence artificielle
Santé numérique
Big data
Correlation
Optimal control
Algorithmes
Tensors
Training
Online learning
Éthique
Scheduling
Stabilization
Unsupervised learning
Data analysis
Continuous positive airway pressure
Automatic speech recognition
Digital health e-health
AI
Deep Learning
Sex differences
Chronic obstructive pulmonary disease
Speech motor control
Optimization
Hyperspectral image
Alternating direction method of multipliers ADMM
Hyperspectral imaging
Remote sensing RS
Self-supervised learning
Neural networks
Speech synthesis
Simulation
Spectral clustering
Representation learning
Innovation
Data mining
Artificial intelligence
Fairness
Random matrix theory
Generative models
Asymptotic stability
Semantic segmentation
Infinite-dimensional systems
Classification
Image reconstruction
Remote sensing
Intelligence artificielle
Convolutional neural networks
Hyperspectral
Adherence
Prediction
Philosophie des techniques
Pansharpening
Evaluation
Telemonitoring
Audio-visual speech enhancement
Predictive coding
Deep learning
Image processing
Co-design