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