82 citations · 208 across the 20 of their papers we have counts for
22 papers
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…
Construction of Knowledge Graphs: State and Challenges
Marvin Hofer, Daniel Obraczka, Alieh Saeedi +2
With knowledge graphs (KGs) at the center of numerous applications such as recommender systems and question answering, the need for generalized pipelines to construct and continuou…
Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version)
Lucas Lange, Maja Schneider, Peter Christen +1
Machine learning (ML) can help fight pandemics like COVID-19 by enabling rapid screening of large volumes of images. To perform data analysis while maintaining patient privacy, we…
Bitemporal Property Graphs to Organize Evolving Systems
Christopher Rost, Philip Fritzsche, Lucas Schons +3
This work is a summarized view on the results of a one-year cooperation between Oracle Corp. and the University of Leipzig. The goal was to research the organization of relationshi…
EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs
Daniel Obraczka, Jonathan Schuchart, Erhard Rahm
Entity Resolution (ER) is a constitutional part for integrating different knowledge graphs in order to identify entities referring to the same real-world object. A promising approa…
ErGAN: Generative Adversarial Networks for Entity Resolution
Jingyu Shao, Qing Wang, Asiri Wijesinghe +1
Entity resolution targets at identifying records that represent the same real-world entity from one or more datasets. A major challenge in learning-based entity resolution is how t…