1 citations · 2 across the 5 of their papers we have counts for
5 papers
Learning from Anonymized and Incomplete Tabular Data
Lucas Lange, Adrian Böttinger, Victor Christen +3
User-driven privacy allows individuals to control whether and at what granularity their data is shared, leading to datasets that mix original, generalized, and missing values withi…
Multi-Layer Privacy-Preserving Record Linkage with Clerical Review based on gradual information disclosure
Florens Rohde, Victor Christen, Martin Franke +1
Privacy-Preserving Record linkage (PPRL) is an essential component in data integration tasks of sensitive information. The linkage quality determines the usability of combined data…
Efficient Model Repository for Entity Resolution: Construction, Search, and Integration
Victor Christen, Peter Christen
Entity resolution (ER) is a fundamental task in data integration that enables insights from heterogeneous data sources. The primary challenge of ER lies in classifying record pairs…
Graph-based Active Learning for Entity Cluster Repair
Victor Christen, Daniel Obraczka, Marvin Hofer +2
Cluster repair methods aim to determine errors in clusters and modify them so that each cluster consists of records representing the same entity. Current cluster repair methodologi…
Slice it up: Unmasking User Identities in Smartwatch Health Data
Lucas Lange, Tobias Schreieder, Victor Christen +1
Wearables are widely used for health data collection due to their availability and advanced sensors, enabling smart health applications like stress detection. However, the sensitiv…