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