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