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