Interpretability and fairness in machine learning: Capacity-based functions and in...
Unsupervised signal separation: a study on the applicability of Generative Adversa...
Antisparsity and equity: from blind source separation to fair machine learning
Antisparsity and Equidity in signal processing: from blind source separation to fa...
Adaptive filtering and machine learning: applications in diffusion networks, soft ...
Tensor networks and deep learning for large scale machine learning and signal proc...
Application of state estimation and machine learning techniques for the energy man...