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Leonardo Pellegrina
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2020 – today
- 2024
- [j7]Leonardo Pellegrina, Fabio Vandin:
Efficient Discovery of Significant Patterns with Few-Shot Resampling. Proc. VLDB Endow. 17(10): 2668-2680 (2024) - [j6]Leonardo Pellegrina
, Fabio Vandin
:
SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds. ACM Trans. Knowl. Discov. Data 18(3): 52:1-52:55 (2024) - [c9]Leonardo Pellegrina
, Fabio Vandin
:
Scalable Rule Lists Learning with Sampling. KDD 2024: 2352-2363 - [i6]Leonardo Pellegrina, Fabio Vandin:
Efficient Discovery of Significant Patterns with Few-Shot Resampling. CoRR abs/2406.11803 (2024) - [i5]Leonardo Pellegrina, Fabio Vandin:
Scalable Rule Lists Learning with Sampling. CoRR abs/2406.12803 (2024) - 2023
- [c8]Leonardo Pellegrina
:
Efficient Centrality Maximization with Rademacher Averages. KDD 2023: 1872-1884 - [i4]Leonardo Pellegrina:
Efficient Centrality Maximization with Rademacher Averages. CoRR abs/2306.03651 (2023) - 2022
- [j5]Diego Santoro, Leonardo Pellegrina
, Matteo Comin
, Fabio Vandin
:
SPRISS: approximating frequent k-mers by sampling reads, and applications. Bioinform. 38(13): 3343-3350 (2022) - [j4]Leonardo Pellegrina, Fabio Vandin:
Discovering significant evolutionary trajectories in cancer phylogenies. Bioinform. 38(Supplement_2): ii49-ii55 (2022) - [j3]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): 124:1-124:29 (2022) - 2021
- [i3]Leonardo Pellegrina, Fabio Vandin:
SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds. CoRR abs/2106.03462 (2021) - 2020
- [j2]Leonardo Pellegrina
, Fabio Vandin
:
Efficient mining of the most significant patterns with permutation testing. Data Min. Knowl. Discov. 34(4): 1201-1234 (2020) - [j1]Leonardo Pellegrina
, Cinzia Pizzi, Fabio Vandin:
Fast Approximation of Frequent k-Mers and Applications to Metagenomics. J. Comput. Biol. 27(4): 534-549 (2020) - [c7]Leonardo Pellegrina
, Cyrus Cousins, Fabio Vandin, Matteo Riondato
:
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining. KDD 2020: 2165-2174 - [i2]Leonardo Pellegrina, Cyrus Cousins, Fabio Vandin, Matteo Riondato:
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining. CoRR abs/2006.09085 (2020) - [i1]Leonardo Pellegrina:
Sharper convergence bounds of Monte Carlo Rademacher Averages through Self-Bounding functions. CoRR abs/2010.12103 (2020)
2010 – 2019
- 2019
- [c6]Leonardo Pellegrina
, Matteo Riondato
, Fabio Vandin:
SPuManTE: Significant Pattern Mining with Unconditional Testing. KDD 2019: 1528-1538 - [c5]Leonardo Pellegrina
, Matteo Riondato
, Fabio Vandin:
Hypothesis Testing and Statistically-sound Pattern Mining. KDD 2019: 3215-3216 - [c4]Leonardo Pellegrina
, Cinzia Pizzi, Fabio Vandin:
Fast Approximation of Frequent k-mers and Applications to Metagenomics. RECOMB 2019: 208-226 - 2018
- [c3]Leonardo Pellegrina
, Fabio Vandin:
Efficient Mining of the Most Significant Patterns with Permutation Testing. KDD 2018: 2070-2079 - 2017
- [c2]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 - [c1]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: 166
Coauthor Index
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