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