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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
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Gabriela Gonzalez-Saez, Fabien Lopez, Mariam Nakhle, Marco Dinarelli, Emmanuelle Esperança-Rodier, et al.. The MAKE-NMTViz Project: Meaningful, Accurate and Knowledge-limited Explanations of NMT Systems for Translators. EAMT : European Association for Machine Translation, Jun 2024, Sheffield, United Kingdom. ⟨hal-04638945⟩
Collaborations
Number of fulltexts
918
Number of references
598
Keywords
COVID-19
Artificial Intelligence
Machine learning
OSA
Scheduling
Data fusion
Alternating direction method of multipliers
Sleep apnea
Algorithmes
Optimal control
Super-resolution
Evaluation
Random matrix theory
Online learning
Hyperspectral image
Tensors
Artificial Intelligence AI
Deep learning DL
Co-design
Sparsity
Neural networks
Detectors
Asymptotic normality
Dimensionality reduction
Infinite-dimensional systems
Prediction
Stochastic approximation
Remote sensing RS
Data mining
Audio-visual speech enhancement
Autism
Agriculture
Deep Learning
Privacy
Multispectral
Fairness
Kernel methods
Ethics
Self-supervised learning
Output feedback
Stochastic differential equations
Semantic segmentation
Digital public health
Air pollution
Spatial resolution
Predictive coding
Automatic speech recognition
Chronic obstructive pulmonary disease
Optimization
Object detection
Anomaly detection
Europe
Image fusion
Asymptotic stability
Stabilization
Pansharpening
Obstructive sleep apnea
Deep learning
Adaptation models
Dictionaries
Unsupervised learning
Artificial intelligence
Continuous positive airway pressure
Nash equilibrium
Convolutional neural networks
Manifold learning
Spectral clustering
Big data
Speech synthesis
Feature extraction
Adherence
Convolution
Agricultural exposome
Data visualization
Remote sensing
Endmember variability
Convex optimization
Speech production
Classification
Task analysis
Representation learning
Affect stories
Hyperspectral
Machine Learning
AI Governance
Hyperspectral imaging
AI
Computer vision
Training
Generative models
Speech motor control
Data models
Attention mechanism
Alternating direction method of multipliers ADMM
Intelligence artificielle
Variational inference
Digital health e-health
Spatial frequencies
Image reconstruction
Éthique