Leonardo Pellegrina

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Leonardo Pellegrina, Fabio Vandin
Scalable Rule Lists Learning with Sampling. CoRR (2024)
Leonardo Pellegrina, Fabio Vandin
Efficient Discovery of Significant Patterns with Few-Shot Resampling. CoRR (2024)
Leonardo Pellegrina, Fabio Vandin
SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Leonardo Pellegrina, Fabio Vandin
Scalable Rule Lists Learning with Sampling. KDD (2024)
Leonardo Pellegrina
Efficient Centrality Maximization with Rademacher Averages. KDD (2023)
Leonardo Pellegrina
Efficient Centrality Maximization with Rademacher Averages. CoRR (2023)
Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin, Matteo Riondato
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining. ACM Trans. Knowl. Discov. Data 16 (6) (2022)
Diego Santoro, Leonardo Pellegrina, Matteo Comin, Fabio Vandin
-mers by sampling reads, and applications. Bioinform. 38 (13) (2022)
Leonardo Pellegrina, Fabio Vandin
SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds. CoRR (2021)
Leonardo Pellegrina, Fabio Vandin
Efficient mining of the most significant patterns with permutation testing. Data Min. Knowl. Discov. 34 (4) (2020)
Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin, Matteo Riondato
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining. CoRR (2020)
Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin, Matteo Riondato
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining. KDD (2020)
Leonardo Pellegrina, Cinzia Pizzi, Fabio Vandin
Fast Approximation of Frequent k-Mers and Applications to Metagenomics. J. Comput. Biol. 27 (4) (2020)
Leonardo Pellegrina
Sharper convergence bounds of Monte Carlo Rademacher Averages through Self-Bounding functions. CoRR (2020)
Leonardo Pellegrina, Matteo Riondato, Fabio Vandin
Hypothesis Testing and Statistically-sound Pattern Mining. KDD (2019)
Leonardo Pellegrina, Cinzia Pizzi, Fabio Vandin
Fast Approximation of Frequent k-mers and Applications to Metagenomics. RECOMB (2019)
Leonardo Pellegrina, Matteo Riondato, Fabio Vandin
SPuManTE: Significant Pattern Mining with Unconditional Testing. KDD (2019)
Leonardo Pellegrina, Fabio Vandin
Efficient Mining of the Most Significant Patterns with Permutation Testing. KDD (2018)
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
Towards Open-Source Shared Implementations of Keyword-Based Access Systems to Relational Data. EDBT/ICDT Workshops (2017)
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
Keyword-based access to relational data: To reproduce, or to not reproduce? SEBD (2017)