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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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Adrien Clauzel, Renaud Persoons, Anne Maître, Franck Balducci, Pascal Petit. Review of environmental airborne pyrene/ benzo[a]pyrene levels from industrial emissions for the improvement of 1-hydroxypyrene biomonitoring interpretation. Journal of Toxicology and Environmental Health, Part B, 2024, pp.1-21. ⟨10.1080/10937404.2024.2362632⟩. ⟨hal-04604390⟩![]()
Aurélien Personnaz, Sihem Amer-Yahia, Laure Berti-Equille, Maximilian Fabricius, Srividya Subramanian. Balancing Familiarity and Curiosity in Data Exploration with Deep Reinforcement Learning. SIGMOD/PODS '21: International Conference on Management of Data Fourth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM), Jun 2021, Virtual Event China, France. pp.16-23, ⟨10.1145/3464509.3464884⟩. ⟨hal-04600277⟩![]()
Collaborations
Number of fulltexts
888
Number of references
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Keywords
Convex optimization
Spatial frequencies
AI
Stochastic differential equations
Fairness
Ethics
Audio-visual speech enhancement
Alternating direction method of multipliers ADMM
Machine Learning
Éthique
Feature extraction
Affect stories
Sleep apnea
Image fusion
Obstructive sleep apnea
Adaptation models
Super-resolution
Spectral clustering
Unsupervised learning
Variational inference
Object detection
Multispectral
Convolution
Stochastic approximation
Europe
Adherence
Predictive coding
Kernel methods
Semantic segmentation
Intelligence artificielle
COVID-19
Evaluation
Deep learning DL
Manifold learning
Online learning
Privacy
Remote sensing RS
Speech synthesis
Artificial Intelligence AI
Neural networks
Remote sensing
Convolutional neural networks
Asymptotic normality
Scheduling
Nash equilibrium
Computer vision
Backstepping
Artificial intelligence
Training
Output feedback
Agricultural exposome
Data models
Co-design
Image reconstruction
Dictionaries
Detectors
Sparsity
Alternating direction method of multipliers
Hyperspectral
Chronic obstructive pulmonary disease
Autism
Endmember variability
Deep learning
Spatial resolution
Agriculture
Infinite-dimensional systems
Big data
Asymptotic stability
Air pollution
Pansharpening
Classification
Deep Learning
Data mining
Optimization
Algorithmes
Continuous positive airway pressure
Data fusion
Representation learning
Machine learning
Optimal control
Stabilization
Tensors
Data visualization
Speech production
Artificial Intelligence
Digital public health
Speech motor control
Random matrix theory
Attention mechanism
Dimensionality reduction
Automatic speech recognition
Digital health e-health
AI Governance
Anomaly detection
Generative models
OSA
Hyperspectral image
Prediction
Hyperspectral imaging
Task analysis