ABRA

2018 article in ACM Transactions on Knowledge Discovery from Data

ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rademacher Averages

ClaveNet: Generating Afro-Cuban Drum Patterns through Data Augmentation

scientific article published on 11 September 2024

Efficient Discovery of Association Rules and Frequent Itemsets through Sampling with Tight Performance Guarantees

Efficient Discovery of Association Rules and Frequent Itemsets through Sampling with Tight Performance Guarantees

Fast approximation of betweenness centrality through sampling

Fast approximation of betweenness centrality through sampling

Finding the True Frequent Itemsets

article

Graph Summarization with Quality Guarantees

scholarly article

Graph summarization with quality guarantees

Learning-based Query Performance Modeling and Prediction

MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining

scientific article published in 2022

MiSoSouP

Mining Frequent Itemsets through Progressive Sampling with Rademacher Averages

article

Mining top-K frequent itemsets through progressive sampling

article

PARMA

Reducing polarization and increasing diverse navigability in graphs by inserting edges and swapping edge weights

scientific article published in 2022

SPEck: mining statistically-significant sequential patterns efficiently with exact sampling

scientific article published in 2022

Sampling-Based Data Mining Algorithms: Modern Techniques and Case Studies

scholarly article by Matteo Riondato published 2014 in Lecture Notes in Computer Science

Space-round tradeoffs for MapReduce computations

TRIÈST

TRIÈST

The Importance of Being Expert

The VC-Dimension of SQL Queries and Selectivity Estimation through Sampling

Toward the Discovery and Development of PSMA Targeted Inhibitors for Nuclear Medicine Applications

scientific article published on 01 January 2020

VC-Dimension and Rademacher Averages

Wiggins