Publications

Richard Williams, Lutz Bornmann, and Andreas Thor. Panel Data and Multilevel Analyses of Academic Publishing Success Paper. SSRN Electronic Journal, January 2022. [PUMA: area_bigdata imported zno]

Nadine Hahm, Erik Morawetz, and Andreas Thor. 8. Die Materialität analog-digitaler Schnittstellen: Usability-Testung Stift-basierter Eingabegeräte für E-Assessment-Szenarien. Digitale Lehre im Rahmen der Grundlagenausbildung in MINT-Fächern an Hochschulen, 127, 2023. [PUMA: area_bigdata imported zno]

Matthias Kricke, Eric Peukert, and Erhard Rahm. Graph Data Transformations in Gradoop. 193--202, Gesellschaft für Informatik, Bonn, 2019. [PUMA: area_bigdata imported yaff]

Maja Schneider, Peter Christen, Erhard Rahm, Jonathan Schneider, and Lea Löffelmann. Tuning the Utility-Privacy Trade-Off in Trajectory Data.. EDBT, 839--842, 2023. [PUMA: area_bigdata area_responsibleai imported xack yaff]

Victor Christen, Tim Häntschel, Peter Christen, and Erhard Rahm. Privacy-preserving record linkage using autoencoders. Int. J. Data Sci. Anal., Springer Science and Business Media LLC, December 2022. [PUMA: area_bigdata]

Ying-Chi Lin, Phillip Hoffmann, and Erhard Rahm. Enhancing cross-lingual biomedical concept normalization using deep neural network pretrained language models. SN Comput. Sci., (3)5Springer Science and Business Media LLC, July 2022. [PUMA: area_bigdata]

Maja Schneider, Jonathan Schneider, Lea Löffelmann, Peter Christen, and Erhard Rahm. Tuning the Utility-Privacy Trade-Off in Trajectory Data. 26th International Conference on Extending Database Technology (EDBT), 2023. [PUMA: area_bigdata area_responsibleai]

Benjamin Uhrich, Martin Schäfer, Oliver Theile, and Erhard Rahm. Using Physics-Informed Machine Learning to Optimize 3D Printing Processes. Progress in Digital and Physical Manufacturing, 2022. [PUMA: area_bigdata topic_physchemistry]

Christopher Rost, Kevin Gomez, Matthias Täschner, Philip Fritzsche, Lucas Schons, Lukas Christ, Timo Adameit, Martin Junghanns, and Erhard Rahm. Distributed temporal graph analytics with GRADOOP. VLDB J., (31)2:375--401, Springer Science and Business Media LLC, March 2022. [PUMA: topic_graph area_bigdata]

Daniel Obraczka, and Erhard Rahm. Fast hubness-reduced nearest neighbor search for entity alignment in Knowledge Graphs. SN Comput. Sci., (3)6Springer Science and Business Media LLC, October 2022. [PUMA: topic_graph area_bigdata]

Lucas Lange, Maja Schneider, and Erhard Rahm. Privacy in Practice: Private COVID-19 Detection in X-Ray Images. 20th International Conference on Security and Cryptography, SECRYPT 2023, 2023. [PUMA: area_responsibleai area_bigdata]

Maja Schneider, Lukas Gehrke, Peter Christen, and Erhard Rahm. D-TOUR: Detour-based point of interest detection in privacy-sensitive trajectories. INFORMATIK 2022, Gesellschaft für Informatik, Bonn, 2022. [PUMA: area_responsibleai area_bigdata]

Martin Grimmer, Tim Kaelble, Felix Nirsberger, Emmely Schulze, Toni Rucks, Jörn Hoffmann, and Erhard Rahm. Dataset Report: LID-DS 2021. International Conference on Critical Information Infrastructures Security, 63--73, 2022. [PUMA: area_responsibleai area_bigdata]

Daniel Ayala, Inma Hernández, David Ruiz, and Erhard Rahm. LEAPME: Learning-based property matching with embeddings. Data Knowl. Eng., (137)101943:101943, Elsevier BV, January 2022. [PUMA: area_bigdata]

Daniel Ayala, Inma Hernández, David Ruiz, and Erhard Rahm. Multi-source dataset of e-commerce products with attributes for property matching. Data Brief, (41)107884:107884, Elsevier BV, April 2022. [PUMA: area_bigdata integration; engineering; Data Ontology; Property matching]

Benjamin Uhrich, Nikolai Hlubek, Tim Häntschel, and Erhard Rahm. Using differential equation inspired machine learning for valve faults prediction. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), IEEE, July 2023. [PUMA: area_bigdata topic_physchemistry]

Daniel Obraczka, Alieh Saeedi, Victor Christen, and Erhard Rahm. Big data integration for industry 4.0. Digital Transformation, 247--268, Springer Berlin Heidelberg, Berlin, Heidelberg, 2023. [PUMA: area_bigdata topic_graph]

Florens Rohde, Martin Franke, Victor Christen, and Erhard Rahm. Value-specific weighting for record-level encodings in privacy-preserving record linkage. Gesellschaft für Informatik e.V., 2023. [PUMA: area_bigdata area_responsibleai]

Markus Bauer, Benjamin Uhrich, Martin Schäfer, Oliver Theile, Christoph Augenstein, and Erhard Rahm. Multi-modal artificial intelligence in additive manufacturing: Combining thermal and camera images for 3D-print quality monitoring. Proceedings of the 25th International Conference on Enterprise Information Systems, SCITEPRESS - Science and Technology Publications, 2023. [PUMA: area_bigdata unit_transfer topic_physchemistry]

Timm Intemann, Knut Kaulke, Dennis-Kenji Kipker, Vanessa Lettieri, Christoph Stallmann, Carsten Schmidt, Lars O. Geidel, Martin Bialke, Christopher Hampf, Dana Stahl, Martin Lablans, Martin Franke, Klaus Peter Kraywinkel, Joachim Kieschke, Sebastian Bartholomäus, Anatol-Fiete Näher, Galina Tremper, Mohamed Lambarki, Stefanie March, Fabian Prasser, Anna Christine Haber, Johannes Drepper, Irene Schlünder, Toralf Kirsten, Iris Pigeot, Ulrich Sax, Benedikt Buchner, Wolfgang Ahrens, and Sebastian Claudius Semler. White Paper - Verbesserung des Record Linkage für die Gesundheitsforschung in Deutschland : August 2023. In NFDI4Health-Nationale Forschungsdateninfrastruktur für personenbezogene Gesundheitsdaten (Eds.), NFDI4Health - Nationale Forschungsdateninfrastruktur für personenbezogene Gesundheitsdaten (Projekt), 2023. [PUMA: topic_lifescience area_bigdata]