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