COALA - Correlation-Aware Active Learning of Link Specifications. - Axel-Cyrille Ngonga Ngomo; Klaus Lyko; Victor Christen (ESWC, 2013)

REX - A Tool for Discovering Evolution Trends in Ontology Regions. - Victor Christen; Anika Groß; Michael Hartung (DILS, 2014)

Annotating Medical Forms Using UMLS. - Victor Christen; Anika Groß; Julian Varghese; Martin Dugas; Erhard Rahm (DILS, 2015)

Annotation und Management heterogener medizinischer Studienformulare. - Victor Christen (GvD, 2015)

Region Evolution eXplorer - A tool for discovering evolution trends in ontology regions. - Victor Christen; Michael Hartung; Anika Groß (J. Biomed. Semant., 2015)

Approaches for Annotating Medical Documents. - Victor Christen; Anika Groß; Erhard Rahm (LWDA, 2016)

A Reuse-Based Annotation Approach for Medical Documents. - Victor Christen; Anika Groß; Erhard Rahm (ISWC (1), 2016)

Evaluating and Improving Annotation Tools for Medical Forms. - Ying-Chi Lin 001; Victor Christen; Anika Groß; Silvio Domingos Cardoso; Cédric Pruski; Marcos Da Silveira; Erhard Rahm (DILS, 2017)

Temporal group linkage and evolution analysis for census data. - Victor Christen; Anika Groß; Jeffrey Fisher; Qing Wang 002; Peter Christen; Erhard Rahm (EDBT, 2017)

Combining Semantic and Lexical Measures to Evaluate Medical Terms Similarity. - Silvio Domingos Cardoso; Marcos Da Silveira; Ying-Chi Lin 001; Victor Christen; Erhard Rahm; Chantal Reynaud-Delaître; Cédric Pruski (DILS, 2018)

A Learning-Based Approach to Combine Medical Annotation Results - (Short Paper). - Victor Christen; Ying-Chi Lin 001; Anika Groß; Silvio Domingos Cardoso; Cédric Pruski; Marcos Da Silveira; Erhard Rahm (DILS, 2018)

Informativeness-Based Active Learning for Entity Resolution. - Victor Christen; Peter Christen; Erhard Rahm (PKDD/ECML Workshops (2), 2019)

Evaluating Cross-lingual Semantic Annotation for Medical Forms. - Ying-Chi Lin 001; Victor Christen; Anika Groß; Toralf Kirsten; Silvio Domingos Cardoso; Cédric Pruski; Marcos Da Silveira; Erhard Rahm (HEALTHINF, 2020)

Advanced Methods for Entity Linking in the Life Sciences - Victor Christen (2020)

Big Data Integration for Industry 4.0. - Daniel Obraczka; Alieh Saeedi; Victor Christen; Erhard Rahm (Digital Transformation, 2022)

Value-specific Weighting for Record-level Encodings in Privacy-Preserving Record Linkage. - Florens Rohde; Martin Franke; Victor Christen; Erhard Rahm (BTW, 2023)

Privacy at Risk: Exploiting Similarities in Health Data for Identity Inference. - Lucas Lange; Tobias Schreieder; Victor Christen; Erhard Rahm (CoRR, 2023)

Privacy-preserving record linkage using autoencoders. - Victor Christen; Tim Häntschel; Peter Christen; Erhard Rahm (Int. J. Data Sci. Anal., 2023)

(Privately) Estimating Linkage Quality for Record Linkage. - Martin Franke; Victor Christen; Peter Christen; Florens Rohde; Erhard Rahm (EDBT, 2024)

Graph-based Active Learning for Entity Cluster Repair. - Victor Christen; Daniel Obraczka; Marvin Hofer; Martin Franke; Erhard Rahm (CoRR, 2024)

Stop Relearning: Model Reuse via Feature Distribution Analysis for Incremental Entity Resolution. - Victor Christen; Abdulnaser Sabra; Erhard Rahm (CoRR, 2024)

Multi-Layer Privacy-Preserving Record Linkage with Clerical Review based on gradual information disclosure. - Florens Rohde; Victor Christen; Martin Franke; Erhard Rahm (BTW, 2025)

SecUREmatch: Integrating Clerical Review in Privacy-Preserving Record Linkage. - Florens Rohde; Victor Christen; Erhard Rahm (SIGMOD Conference Companion, 2025)

Unsupervised Evaluation of Entity Resolution. - Charini Nanayakkara; Peter Christen; Victor Christen (ACM J. Data Inf. Qual., 2025)

Graph Metrics-driven Record Cluster Repair meets LLM-based active learning. - Victor Christen; Daniel Obraczka; Marvin Hofer; Martin Franke; Erhard Rahm (ACM J. Data Inf. Qual., 2025)