Leonardo Pellegrina

24 papers A* 7B 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Fast Percolation Centrality Approximation with Importance Sampling.
ICDM
Antonio Cruciani, Leonardo Pellegrina
2025 J jnl
Fast Percolation Centrality Approximation with Importance Sampling.
CoRR
Antonio Cruciani, Leonardo Pellegrina
2024 J jnl
Efficient Discovery of Significant Patterns with Few-Shot Resampling.
CoRR
Leonardo Pellegrina, Fabio Vandin
2024 J jnl
Efficient Discovery of Significant Patterns with Few-Shot Resampling.
Proc. VLDB Endow.
Leonardo Pellegrina, Fabio Vandin
2024 J jnl
SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds.
ACM Trans. Knowl. Discov. Data
Leonardo Pellegrina, Fabio Vandin
2024 A* conf
Scalable Rule Lists Learning with Sampling.
KDD
Leonardo Pellegrina, Fabio Vandin
2024 J jnl
Scalable Rule Lists Learning with Sampling.
CoRR
Leonardo Pellegrina, Fabio Vandin
2023 A* conf
Efficient Centrality Maximization with Rademacher Averages.
KDD
Leonardo Pellegrina
2023 J jnl
Efficient Centrality Maximization with Rademacher Averages.
CoRR
Leonardo Pellegrina
2022 J jnl
Discovering significant evolutionary trajectories in cancer phylogenies.
Bioinform.
Leonardo Pellegrina, Fabio Vandin
2022 J jnl
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining.
ACM Trans. Knowl. Discov. Data
Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin, Matteo Riondato
2022 J jnl
SPRISS: approximating frequent
Bioinform.
Diego Santoro, Leonardo Pellegrina, Matteo Comin, Fabio Vandin
2021 J jnl
SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds.
CoRR
Leonardo Pellegrina, Fabio Vandin
2020 J jnl
Efficient mining of the most significant patterns with permutation testing.
Data Min. Knowl. Discov.
Leonardo Pellegrina, Fabio Vandin
2020 J jnl
Fast Approximation of Frequent k-Mers and Applications to Metagenomics.
J. Comput. Biol.
Leonardo Pellegrina, Cinzia Pizzi, Fabio Vandin
2020 A* conf
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining.
KDD
Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin, Matteo Riondato
2020 J jnl
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining.
CoRR
Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin, Matteo Riondato
2020 J jnl
Sharper convergence bounds of Monte Carlo Rademacher Averages through Self-Bounding functions.
CoRR
Leonardo Pellegrina
2019 B conf
Fast Approximation of Frequent k-mers and Applications to Metagenomics.
RECOMB
Leonardo Pellegrina, Cinzia Pizzi, Fabio Vandin
2019 A* conf
Hypothesis Testing and Statistically-sound Pattern Mining.
KDD
Leonardo Pellegrina, Matteo Riondato, Fabio Vandin
2019 A* conf
SPuManTE: Significant Pattern Mining with Unconditional Testing.
KDD
Leonardo Pellegrina, Matteo Riondato, Fabio Vandin
2018 A* conf
Efficient Mining of the Most Significant Patterns with Permutation Testing.
KDD
Leonardo Pellegrina, Fabio Vandin
2017 — conf
Keyword-based access to relational data: To reproduce, or to not reproduce?
SEBD
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
2017 — conf
Towards Open-Source Shared Implementations of Keyword-Based Access Systems to Relational Data.
EDBT/ICDT Workshops
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