Sfoglia per Autore
Efficient Mining of the Most Significant Patterns with Permutation Testing
In corso di stampa Pellegrina, L.; Vandin, F.
SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds
2023 Pellegrina, Leonardo; Vandin, Fabio
Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract)
2023 Simionato, D.; Vandin, F.
VC-dimension and Rademacher Averages of Subgraphs, with Applications to Graph Mining
2023 Pellizzoni, P.; Vandin, F.
caSPiTa: mining statistically significant paths in time series data from an unknown network
2023 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
gRosSo: mining statistically robust patterns from a sequence of datasets
2022 Tonon, A; Vandin, F
Discovering significant evolutionary trajectories in cancer phylogenies
2022 Pellegrina, Leonardo; Vandin, Fabio
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks
2022 Buffelli, Davide; Liò, Pietro; Vandin, Fabio
The Impact of Global Structural Information in Graph Neural Networks Applications
2022 Buffelli, D.; Vandin, F.
Technical Perspective - Evaluating Sampled Metrics Is Challenging
2022 Vandin, F
SPRISS: Approximating Frequent K-mers by Sampling Reads, and Applications
2022 Santoro, Diego; Pellegrina, Leonardo; Comin, Matteo; Vandin, Fabio
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach
2022 Buffelli, D; Vandin, F
Bounding the Family-Wise Error Rate in Local Causal Discovery using Rademacher Averages
2022 Simionato, Dario; Vandin, Fabio
CASPITA: Mining Statistically Significant Paths in Time Series Data from an Unknown Network
2021 Tonon, Andrea; Vandin, Fabio
OdeN: Simultaneous Approximation of Multiple Motif Counts in Large Temporal Networks
2021 Sarpe, I.; Vandin, F.
Comparison of microbiome samples: methods and computational challenges
2021 Comin, Matteo; DI CAMILLO, Barbara; Pizzi, Cinzia; Vandin, Fabio
Scalable Distributed Approximation of Internal Measures for Clustering Evaluation
2021 Altieri, Federico; Pietracaprina, Andrea; Pucci, Geppino; Vandin, Fabio
PRESTO: Simple and Scalable Sampling Techniques for the Rigorous Approximation of Temporal Motif Counts
2021 Sarpe, Ilie; Vandin, Fabio
Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation
2021 Buffelli, D.; Vandin, F.
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