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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
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
588
Keywords
Nash equilibrium
Remote sensing RS
Tensors
Asymptotic stability
Obstructive sleep apnea
Representation learning
Ethics
Object detection
Privacy
Image reconstruction
Generative models
Variational inference
Hyperspectral imaging
Attention mechanism
Manifold learning
Pansharpening
Spatial resolution
Fairness
Agricultural exposome
Stochastic approximation
Éthique
Predictive coding
Computer vision
Super-resolution
Hyperspectral
AI Governance
Speech synthesis
Data fusion
Kernel methods
Adherence
Task analysis
COVID-19
Random matrix theory
Classification
Scheduling
Prediction
Output feedback
Dimensionality reduction
Image fusion
Intelligence artificielle
OSA
Multispectral
Data mining
Online learning
Optimal control
Evaluation
Feature extraction
Deep learning DL
Machine Learning
Backstepping
Chronic obstructive pulmonary disease
Detectors
Artificial intelligence
Data visualization
Endmember variability
Data models
Asymptotic normality
Infinite-dimensional systems
Digital health e-health
Algorithmes
Continuous positive airway pressure
Deep learning
Convolution
Spectral clustering
AI
Stochastic differential equations
Spatial frequencies
Anomaly detection
Europe
Alternating direction method of multipliers
Unsupervised learning
Stabilization
Training
Speech motor control
Deep Learning
Hyperspectral image
Affect stories
Alternating direction method of multipliers ADMM
Co-design
Machine learning
Artificial Intelligence AI
Autism
Neural networks
Dictionaries
Adaptation models
Speech production
Sparsity
Agriculture
Semantic segmentation
Convolutional neural networks
Digital public health
Remote sensing
Big data
Audio-visual speech enhancement
Optimization
Automatic speech recognition
Artificial Intelligence
Air pollution
Sleep apnea
Convex optimization