J. Soler Garrido, S. Tolan, I. Hupont, D. Fernandez Llorca, V. Charisi, E. Gomez, H. Junklewitz, R. Hamon, D. Fano Yela, C. Panigutti, AI Watch: Artificial Intelligence Standardisation Landscape Update, Technical Report Joint Research Centre of the European Commission [paper]
Publications
You can also find my articles on my Google Scholar profile.
You can download my thesis Signal Processing and Graph Theory techniques for Sound Source Separation here .
2023
J. Soler Garrido, D. Fano Yela, C. Panigutti, H. Junklewitz, R. Hamon, T. Evas, A. André, S. Scalzo, Analysis of the preliminary AI standardisation work plan in support of the AI Act, Technical Report Joint Research Centre of the European Commission [paper]
Cecilia Panigutti, Ronan Hamon, Isabelle Hupont, David Fernandez Llorca, Delia Fano Yela, Henrik Junklewitz, Salvatore Scalzo, Gabriele Mazzini, Ignacio Sanchez, Josep Soler Garrido, Emilia Gomez, The role of explainable AI in the context of the AI Act, ACM Conference on Fairness, Accountability, and Transparency, Dec 2023 [paper]
2020
Delia Fano Yela, Florian Thalmann, Vincenzo Nicosia, Dan Stowell and Mark B. Sandler, Online visibility graphs: Encoding visibility in a binary search tree, Phys. Rev. Research, April 2020 [paper]
2019
Delia Fano Yela, Dan Stowell and Mark B. Sandler, Spectral Visibility Graphs: Application to Similarity of Harmonic Signals, European Signal Processing Conference (EUSIPCO) 2019 [paper]
2018
Delia Fano Yela, Sebastian Ewert, Ken O-Hanlon and Mark B. Sandler, Shift-Invariant Kernel Additive Modelling for Audio Source Separation, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018, pp. 616–620 [paper]
Delia Fano Yela, Dan Stowell and Mark B. Sandler, Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation, in Proceedings of the International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA) 2018, p. 280-289. [paper]
2017
Delia Fano Yela, Sebastian Ewert, Derry FitzGerald, and Mark B. Sandler, Interference reduction in music recordings combining kernel additive modelling and non-negative matrix factorization, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017, pp. 51–55 [paper]
Delia Fano Yela, Sebastian Ewert, Derry FitzGerald, and Mark B. Sandler, On the Importance of Temporal Context in Proximity Kernels: A Vocal Separation Case Study, in Proceedings of the Audio Engineering Society (AES) International Conference on Semantic Audio, 2017. [paper]