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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
Solène Evain, Solange Rossato, François Portet. Unraveling Spontaneous Speech Dimensions for Cross-Corpus ASR System Evaluation for French. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), May 2024, Torino, Italy. ⟨hal-04533965⟩ Vincent Segonne, Aidan Mannion, Laura Cristina Alonzo Canul, Alexandre Audibert, Xingyu Liu, et al.. Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains. LREC-COLING 2024 - Joint International Conference on Computational Linguistics, Language Resources and Evaluation, May 2024, Turin, Italy. ⟨hal-04535557⟩
Collaborations
Number of fulltexts
863
Number of references
586
Keywords
Continuous positive airway pressure
Alternating direction method of multipliers
Machine learning
Affect stories
Deep Learning
Neural networks
COVID-19
Asymptotic normality
Spatial resolution
Adaptation models
Kernel methods
Agriculture
Digital health e-health
Agricultural exposome
Feature extraction
Deep learning
Stabilization
AI Governance
Fairness
Hyperspectral
Éthique
Speech production
Remote sensing
Deep learning DL
Ethics
Adherence
AI
Spectral clustering
Multispectral
Co-design
Prosody
Prediction
Convolutional neural networks
Image reconstruction
Endmember variability
Hyperspectral imaging
Privacy
Computer vision
Tensors
Intelligence artificielle
Air pollution
Task analysis
Anomaly detection
Nash equilibrium
Scheduling
Chronic obstructive pulmonary disease
Data mining
Remote sensing RS
Machine Learning
Stochastic approximation
Pansharpening
Evaluation
Artificial Intelligence
Community detection
Output feedback
Backstepping
Random matrix theory
Convolution
Optimal control
Super-resolution
Obstructive sleep apnea
Asymptotic stability
Image fusion
Object detection
Speech synthesis
Big data
Digital public health
Attention mechanism
Variational inference
CPAP
Optimization
Representation learning
Unsupervised learning
Artificial intelligence
Europe
Audio-visual speech enhancement
Artificial Intelligence AI
Data models
Dictionaries
Dimensionality reduction
Data visualization
Biometrics
Algorithmes
Alternating direction method of multipliers ADMM
Stochastic differential equations
Convex optimization
Training
Sleep apnea
Brain
Data fusion
Online learning
Sparsity
Manifold learning
Speech motor control
Detectors
Classification
Generative models
Hyperspectral image
Infinite-dimensional systems
Automatic speech recognition