A Deep Learning-Based Pipeline for the Generation of Synthetic Tabular Data - Daniele Panfilo; Alexander T. P. Boudewijn; Sebastiano Saccani; Andrea Coser; Borut Svara; Carlo Rossi Chauvenet; Ciro Antonio Mami; Eric Medvet (IEEE Access, 2023)

Privacy Measurement in Tabular Synthetic Data: State of the Art and Future Research Directions - Alexander T. P. Boudewijn; Andrea Filippo Ferraris; Daniele Panfilo; Vanessa Cocca; Sabrina Zinutti; Karel De Schepper; Carlo Rossi Chauvenet (CoRR, 2023)

Generating Realistic Synthetic Relational Data through Graph Variational Autoencoders - Ciro Antonio Mami; Andrea Coser; Eric Medvet; Alexander T. P. Boudewijn; Marco Volpe; Michael Whitworth; Borut Svara; Gabriele Sgroi; Daniele Panfilo; Sebastiano Saccani (CoRR, 2022)

Mosaic Images Segmentation using U-net - Gianfranco Fenu; Eric Medvet; Daniele Panfilo; Felice Andrea Pellegrino (Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2020, Valletta, Malta, February 22-24, 2020, 2020)