Leonardo Pellegrina

According to our database, Leonardo Pellegrina authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Discovery of Significant Patterns with Few-Shot Resampling.

Leonardo Pellegrina, Fabio Vandin

Proc. VLDB Endow., June, 2024

SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds.

Leonardo Pellegrina, Fabio Vandin

ACM Trans. Knowl. Discov. Data, April, 2024

Scalable Rule Lists Learning with Sampling.

Leonardo Pellegrina, Fabio Vandin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Efficient Centrality Maximization with Rademacher Averages.

Leonardo Pellegrina

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining.

Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin, Matteo Riondato

ACM Trans. Knowl. Discov. Data, 2022

SPRISS: approximating frequent <i>k</i>-mers by sampling reads, and applications.

Diego Santoro, Leonardo Pellegrina, Matteo Comin, Fabio Vandin

Bioinform., 2022

2020

Fast Approximation of Frequent k-Mers and Applications to Metagenomics.

Leonardo Pellegrina, Cinzia Pizzi, Fabio Vandin

J. Comput. Biol., 2020

Efficient mining of the most significant patterns with permutation testing.

Leonardo Pellegrina, Fabio Vandin

Data Min. Knowl. Discov., 2020

Sharper convergence bounds of Monte Carlo Rademacher Averages through Self-Bounding functions.

Leonardo Pellegrina

CoRR, 2020

2019

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, 2019

SPuManTE: Significant Pattern Mining with Unconditional Testing.

Leonardo Pellegrina, Matteo Riondato, Fabio Vandin

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2017

Keyword-based access to relational data: To reproduce, or to not reproduce?

Alex Badan, Luca Benvegnù, 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 25th Italian Symposium on Advanced Database Systems, 2017

Towards Open-Source Shared Implementations of Keyword-Based Access Systems to Relational Data.

Alex Badan, Luca Benvegnù, 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

Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017), 2017