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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
Ran Ran, Liang-Jian Deng, Tai-Xiang Jiang, Jin-Fan Hu, Jocelyn Chanussot, et al.. GuidedNet: A General CNN Fusion Framework via High-Resolution Guidance for Hyperspectral Image Super-Resolution. IEEE Transactions on Cybernetics, 2023, 53 (7), pp.4148-4161. ⟨10.1109/TCYB.2023.3238200⟩. ⟨hal-04473668⟩
Collaborations
Number of fulltexts
870
Number of references
580
Keywords
Semantic segmentation
Ethics
Convolutional neural networks
Digital public health
AI Governance
AI
Alternating direction method of multipliers
Anomaly detection
Representation learning
Artificial intelligence
Image fusion
Output feedback
Neural networks
Remote sensing RS
Adaptation models
Machine learning
Digital health e-health
Computer vision
Big data
Convolution
Agriculture
Machine Learning
Hyperspectral image
Evaluation
Hyperspectral
Pansharpening
Random matrix theory
Endmember variability
Convex optimization
Attention mechanism
Super-resolution
Alternating direction method of multipliers ADMM
Optimization
CPAP
Obstructive sleep apnea
Online learning
Task analysis
Object detection
Variational inference
Artificial Intelligence AI
Training
Data visualization
Adherence
Privacy
Sleep apnea
Deep learning DL
Multispectral
Éthique
Kernel methods
Artificial Intelligence
Optimal control
Air pollution
Brain
Backstepping
Europe
Asymptotic stability
Classification
Agricultural exposome
Stabilization
Algorithmes
Remote sensing
Detectors
Image reconstruction
Chronic obstructive pulmonary disease
Unsupervised learning
Hyperspectral imaging
Data fusion
Affect stories
Tensors
Data mining
Manifold learning
COVID-19
Asymptotic normality
Automatic speech recognition
Spectral clustering
Spatial resolution
Intelligence artificielle
Prediction
Data models
Nash equilibrium
Infinite-dimensional systems
Continuous positive airway pressure
Stochastic differential equations
Audio-visual speech enhancement
Generative models
Deep Learning
Speech motor control
Prosody
Speech production
Biometrics
Dimensionality reduction
Sparsity
Scheduling
Speech synthesis
Fairness
Co-design
Feature extraction
Stochastic approximation
Deep learning
Dictionaries