index - Equipe Signal, Statistique et Apprentissage

 

Dernières publications

Mots clés

Auditory attention decoding Artificial Intelligence Bootstrap Time-frequency analysis Consistency Functional data analysis Interpretability Nonnegative Matrix Factorization Room acoustics Boosting Machine learning Nonnegative matrix factorisation Filtering Electroencephalography EEG Character recognition Adaptation models Machine Learning Apprentissage profond Statistical learning EM algorithm Signal processing Blind source separation Alpha-divergence Big data NMF Wavelet analysis Empirical processes EEG Stochastic approximation Fillers Feature selection Nonnegative matrix factorization Structured prediction Bipartite ranking Survey sampling Hill estimator Training Self-supervised learning Natural language processing Task analysis Handwriting recognition Mixture models Feature learning Variational inference Music information retrieval Handwriting Détection d'anomalies Audio source separation Empirical risk minimization Fairness Statistical learning theory Optimization ESPRIT Speech processing Explainability Feature extraction Optimal transport Nummelin splitting technique Deep Learning Representation learning Ranking Kernel smoothing Classification Acoustic scene classification Multivariate extremes Extremal index Audio Dimensionality reduction Estimation Audio signal processing ROC curve Magnetoencephalography MEG Phase reconstruction Non-negative matrix factorization Kernel methods Inverse problem Aggregation Reverberation Wiener filtering Room impulse response Dereverberation Neural networks Coordinate descent Long range dependence Deep learning Dynamical systems Anomaly detection Apprentissage statistique Nonparametric estimation Convex optimization Apprentissage automatique Data augmentation Source separation Hermite processes Informed source separation NTF Human-agent interaction Artificial intelligence Speech enhancement Affective computing

 

Documents avec texte intégral

858

Références bibliographiques

660

Open access

66 %

Collaborations