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