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