VANDIN, FABIO
VANDIN, FABIO
Dipartimento di Ingegneria dell'Informazione - DEI
Efficient Mining of the Most Significant Patterns with Permutation Testing
In corso di stampa Pellegrina, L.; Vandin, F.
ALLSTAR: inference of reliAble causaL ruLes between Somatic muTAtions and canceR phenotypes
2024 Simionato, Dario; Collesei, Antonio; Miglietta, Federica; Vandin, Fabio
Bounding the family-wise error rate in local causal discovery using Rademacher averages
2024 Simionato, Dario; Vandin, Fabio
Efficient Discovery of Significant Patterns with Few-Shot Resampling
2024 Pellegrina, Leonardo; Vandin, Fabio
Scalable Rule Lists Learning with Sampling
2024 Pellegrina, Leonardo; Vandin, Fabio
Scalable Temporal Motif Densest Subnetwork Discovery
2024 Sarpe, Ilie; Vandin, Fabio; Gionis, Aristides
Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract)
2023 Simionato, D.; Vandin, F.
caSPiTa: mining statistically significant paths in time series data from an unknown network
2023 Tonon, A.; Vandin, F.
SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds
2023 Pellegrina, Leonardo; Vandin, Fabio
VC-dimension and Rademacher Averages of Subgraphs, with Applications to Graph Mining
2023 Pellizzoni, P.; Vandin, F.
Bounding the Family-Wise Error Rate in Local Causal Discovery using Rademacher Averages
2022 Simionato, Dario; Vandin, Fabio
Discovering significant evolutionary trajectories in cancer phylogenies
2022 Pellegrina, Leonardo; Vandin, Fabio
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach
2022 Buffelli, D; Vandin, F
gRosSo: mining statistically robust patterns from a sequence of datasets
2022 Tonon, A; Vandin, F
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining
2022 Pellegrina, Leonardo; Cousins, Cyrus; Vandin, Fabio; Riondato, Matteo
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks
2022 Buffelli, Davide; Liò, Pietro; Vandin, Fabio
SPRISS: Approximating Frequent K-mers by Sampling Reads, and Applications
2022 Santoro, Diego; Pellegrina, Leonardo; Comin, Matteo; Vandin, Fabio
Technical Perspective - Evaluating Sampled Metrics Is Challenging
2022 Vandin, F
The Impact of Global Structural Information in Graph Neural Networks Applications
2022 Buffelli, D.; Vandin, F.
Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation
2021 Buffelli, D.; Vandin, F.