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