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