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Neue Publikationen
Evolution of Degree Metrics in Large Temporal Graphs
Value-specific Weighting for Record-level Encodings in Privacy-Preserving Record Linkage
Privacy-Preserving Record Linkage using Autoencoders
Privacy in Practice: Private COVID-19 Detection in X-Ray Images
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Publikationen 2022 (13)
Christen, Victor
;
Häntschel, Tim
;
Christen, Peter
;
Rahm, Erhard
Privacy-Preserving Record Linkage using Autoencoders
International Journal of Data Science and Analytics
2022-12
-16
Lange, Lucas
;
Schneider, Maja
;
Rahm, Erhard
Privacy in Practice: Private COVID-19 Detection in X-Ray Images
arXiv preprint arXiv:2211.11434
2022-11
Obraczka, D.
;
Rahm, E.
Fast Hubness-Reduced Nearest Neighbor Search for Entity Alignment in Knowledge Graphs
Springer Nature Computer Science Journal
2022-10
-01
Grimmer, 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
Schneider, 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
Lin, 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
Walther, 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
Ayala, 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
Ayala, Daniel
; Hernández, Irma;
Ruiz, Daniel
;
Rahm, Erhard
LEAPME: Learning-based Property Matching with Embeddings
Data & Knowledge Engineering
2022-01
Obraczka, Daniel
;
Saeedi, Alieh
;
Christen, Victor
;
Rahm, Erhard
Big Data Integration for Industry 4.0
Digital Transformation
2022
Uhrich, B.
;
Schäfer, M.
;
Theile, O.
;
Rahm, E.
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