Leonardo Pellegrina


Preprints

"SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds", Leonardo Pellegrina and Fabio Vandin, 2021. [arXiv]

"Sharper convergence bounds of Monte Carlo Rademacher Averages through Self-Bounding functions", Leonardo Pellegrina, 2020. [arXiv]


Publications (* denotes equal contribution)

"SPRISS: Approximating Frequent k-mers by Sampling Reads, and Applications", Diego Santoro*, Leonardo Pellegrina*, and Fabio Vandin, Accepted for presentation at the 25th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2021). [arXiv]

"Rigorous and Efficient Algorithms for Significant and Approximate Pattern Mining", Leonardo Pellegrina, Ph.D. thesis, 2021. [pdf]

"MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining", Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin and Matteo Riondato, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020). [link] [arXiv]

"Efficient Mining of the Most Significant Patterns with Permutation Testing", Leonardo Pellegrina and Fabio Vandin, Data Mining & Knowledge Discovery 34, 1201–1234 (2020). [link]

"Fast Approximation of Frequent k-mers and Applications to Metagenomics", Leonardo Pellegrina, Cinzia Pizzi and Fabio Vandin, Journal of Computational Biology Special Issue of Best Papers from the RECOMB 2019 conference, 27, 4, 534-549 (2020). [link]

"SPuManTE: Significant Pattern Mining with Unconditional Testing", Leonardo Pellegrina, Matteo Riondato and Fabio Vandin, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019). [link]

"Multiple Hypothesis Testing and Statistically-sound Pattern Mining", Leonardo Pellegrina, Matteo Riondato, Fabio Vandin, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019). [link]

"Fast Approximation of Frequent k-mers and Applications to Metagenomics", Leonardo Pellegrina, Cinzia Pizzi and Fabio Vandin, Proceedings of the 23th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2019). [link] [arXiv]

"Efficient Mining of the Most Significant Patterns with Permutation Testing", Leonardo Pellegrina and Fabio Vandin, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2018). [link]

"An innovative space tether deployer with retrieval capability: Design and test of STAR experiment", Gilberto Grassi, Alessia Gloder, Leonardo Pellegrina, Mattia Pezzato, Alvise Rossi, Francesco Branz, Matteo Duzzi, Riccardo Mantellato, Lorenzo Olivieri, Francesco Sansone, Enrico C. Lorenzini, Alessandro Francesconi, Proceedings of the 68th International Astronautical Congress (IAC 2017). [pdf]

"Design and test in microgravity of a space tether length and length rate measurement device", Gilberto Grassi, Mattia Pezzato, Alessia Gloder, Riccardo Mantellato, Alessandro Francesconi, Enrico Lorenzini, Alvise Rossi and Leonardo Pellegrina, IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace 2017). [link]

"Towards open-source shared implementations of keyword-based access systems to relational data", Alex Badan, Luca Benvegnu', Matteo Biasetton, Giovanni Bonato, Alessandro Brighente, Alberto Cenzato, Piergiorgio Ceron, Giovanni Cogato, Stefano Marchesin, Alberto Minetto, Leonardo Pellegrina, Alberto Purpura, Riccardo Simionato, Nicolò Soleti, Matteo Tessarotto, Andrea Tonon, Federico Vendramin, Nicola Ferro, Workshop Proceedings of the joint 20th International Conferences on Extending Database Technology and Database Theory (EDBT/ICDT 2017). [pdf]

"Keyword-based access to relational data: To reproduce, or to not reproduce?", Alex Badan, Luca Benvegnu, Matteo Biasetton, Giovanni Bonato, Alessandro Brighente, Stefano Marchesin, Alberto Minetto, Leonardo Pellegrina, Alberto Purpura, Riccardo Simionato, Matteo Tessarotto, Andrea Tonon, Nicola Ferro, Proceedings of the Symposium on Advanced Database Systems (SEBD 2017). [pdf]



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