Search Results for author:
Found 8 papers, 2 papers with code
A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms
Entity resolution (ER) is the process of identifying records that refer to the same entities within one or across multiple databases.
Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version)
The introduced DP should help limit leakage threats posed by MIAs, and our practical analysis is the first to test this hypothesis on the COVID-19 classification task.
Big Data is not the New Oil: Common Misconceptions about Population Data
Remarkably many of these misconceptions are due to the social nature of data collections and are therefore missed by purely technical accounts of data processing.
Large Scale Record Linkage in the Presence of Missing Data
We evaluate the linkage quality and scalability of our approach using large real-world databases, showing that it can achieve high linkage quality even when the databases being linked contain substantial amounts of missing values and errors.
F*: An Interpretable Transformation of the F-measure
The F-measure, also known as the F1-score, is widely used to assess the performance of classification algorithms.
Temporal graph-based clustering for historical record linkage
Research in the social sciences is increasingly based on large and complex data collections, where individual data sets from different domains are linked and integrated to allow advanced analytics.
A Decision Tree Approach to Predicting Recidivism in Domestic Violence
Previous work in DV recidivism has employed different classification techniques, including decision tree (DT) induction and logistic regression, where the main focus was on achieving high prediction accuracy.
Application of Advanced Record Linkage Techniques for Complex Population Reconstruction
Record linkage is the process of identifying records that refer to the same entities from several databases.
