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Publikationen 2022 (12)



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publication iconChristen, Victor; Häntschel, Tim; Christen, Peter; Rahm, Erhard
Privacy-Preserving Record Linkage using Autoencoders
International Journal of Data Science and Analytics (accepted)
2022-11
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publication iconLange, Lucas; Schneider, Maja; Rahm, Erhard
Privacy in Practice: Private COVID-19 Detection in X-Ray Images
arXiv preprint arXiv:2211.11434
2022-11
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publication iconObraczka, D.; Rahm, E.
Fast Hubness-Reduced Nearest Neighbor Search for Entity Alignment in Knowledge Graphs
Springer Nature Computer Science Journal
2022-10-01
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publication iconGrimmer, M.; Kaelble, T.; Schulze, E.; Rucks, T.; Hoffmann, J.; Rahm, E.
Extended Abstract: LID-DS 2021
The 17th International Conference on Critical Information Infrastructures Security (CRITIS) 2022
2022-09
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publication iconSchneider, M.; Gehrke, L.; Christen, P.; Rahm, E.
D-TOUR : Detour-based point of interest detection in privacy-sensitive trajectories
Conference: 3. Interdisciplinary Privacy & Security at Large Workshop (Privacy&Security@Large), INFORMATIK 2022
2022-09
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publication iconLin, Ying-Chin; Hoffmann, Phillip; Rahm, Erhard
Enhancing Cross‑lingual Biomedical Concept Normalization Using Deep Neural Network Pretrained Language Models
SN Computer Science (2022) 3:387
2022-07
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publication iconWalther, Georg; Martin, Christian; Haase, Amelie; Nestler, Ulf; Schob, Stefan
Machine Learning for Rupture Risk Prediction of Intracranial Aneurysms: Challenging the PHASES Score
Symmetry 2022, 14(5), 943, Special Issue "Neuroscience and Molecular Sciences"
2022-05-05

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publication iconAyala, Daniel; Hernandez, Inma; Ruiz, David; Rahm, Erhard
Multi-source dataset of e-commerce products with attributes for property matching
Data in Brief, 2022
2022-02
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Ayala, Daniel; Hernández, Irma; Ruiz, Daniel; Rahm, Erhard
LEAPME: Learning-based Property Matching with Embeddings
Data & Knowledge Engineering
2022-01
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publication iconObraczka, Daniel;Saeedi, Alieh;Christen, Victor;Rahm, Erhard
Big Data Integration for Industry 4.0
Digital Transformation
2022
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publication iconUhrich, Benjamin; Schäfer, Martin; Theile, Oliver; Rahm, Erhard
Using Physics-Informed Machine Learning to Optimize 3D Printing Processes
Proceedings of the 2nd International Conference on Progress in Digital and Physical Manufacturing (ProDPM'21)
2022