- Dr. Victor Christen
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Jahr | Typ | Student | Titel | Status |
---|---|---|---|---|
2024 | B. Sc. | Markus Wetzel | Model selection for Privacy Preserving Record Linkage using synthetic data | Running |
2024 | B. Sc. | Marco Gruner | Improvement of Quality Estimation methods for Record Linkage | Running |
2024 | M. Sc. | Philipp Rickayzen | Quality Estimation of record linkage results using an ensemble of cluster methods | Running |
2024 | B. Sc. | Kelly Lum | Similarity feature space Extension in Multi-ER | Running |
2024 | B. Sc. | Colin Hartkopf | Realization of an infrastructure to maintain record linkage tasks | Running |
2024 | B. Sc. | Friedrich Schwella | Node embedding based entity linking for medical forms | Running |
2023 | M. Sc. | Abdulnaser Sabra | Transfer learning for record linkage using Data Profiling | Running |
2024 | B. Sc. | Maen Khatab | Bird Species Classification on Images | Finished |
2024 | M. Sc. | Richard Prey | Partner churn prediction for Synaxon AG | Finished |
2024 | M. Sc. | Paul Brassel | Trainingsdatengenerierung für Privacy Preserving Record Linkage | Finished |
2024 | M. Sc. | Tim Matzeck | Attacks on PPRL using node embedding techniques | Finished |
2024 | M. Sc. | Jerome Würf | Ontology Matching using Graph ML | Finished |
2023 | B. Sc. | Tom Wawerek | AI-Driven Development | Finished |
2023 | B. Sc. | Mehdi Karbalai | Realisierung einer Android-App zur Extraktion der Metainformationen von Klausuren | Finished |
2023 | M. Sc. | Robert Weiske | Vorhersage der Clusterqualität unter Verwendung von Ähnlichkeitsgraph-Charakteristiken | Finished |
2022 | M. Sc. | Leonie Preker | Evaluating embedding methods for genomic data | Finished |
2022 | B. Sc. | Tim Häntschel | Evaluation of Autoencoders for encrypting Bloom-Filters | Finished |
2020 | B. Sc. | Marcus Stelzer | Realisierung eines Frameworks zur forensischen Gutachtenerstellung und Auswertung der Browser-Historie | Finished |
2020 | M. Sc. | Jonas Kreusch | Parallelisierung von Meta-Blocking Ansätzen in FAMER | Finished |
2020 | B. Sc. | Robert Weiske | Incremental Entity-Resolution using cluster vector representations | Finished |
2020 | B. Sc. | Bingqing Hu | Postprocessing mit Knotenembeddings | Finished |
2019 | B. Sc. | Michael Koch | Integration von EAGLE in FAMER | Finished |
2019 | B. Sc. | Jan Buchholz | Datenerfassung für die Untersuchung von Primaten (Kooperation MPI) | Finished |
2018 | B. Sc. | David Geistert | Visualisierung von Annotation-Mappings für klinische Formulare | Finished |
2018 | B. Sc. | Nico Duldhardt | Tree-based Learning Methods for Match Classification with Apache Flink | Finished |
Dateien | Cover | Beschreibung | Jahr |
---|---|---|---|
2024 / 9 | |||
Franke, M.
; Christen, V.
; Christen, P.
; Rohde, F.
; Rahm, E.
27th International Conference on Extending Database Technology
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2024 / 3 | ||
Rohde, F.
; Franke, M.
; Christen, V.
; Rahm, E.
Conference on Database Systems for Business, Technology and Web (BTW) 2023
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2023 / 3 | ||
2023 / 2 | |||
Christen, V.
; Häntschel, T.
; Christen, P.
; Rahm, E.
International Journal of Data Science and Analytics
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2022 / 12 | ||
Christen, V.
Dissertation, Universität Leipzig
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2021 / 1 | ||
Lin, Y.
; Christen, V.
; Groß, A.
; Kirsten, T.
; Cardoso, S.
; Pruski, C.
; Silveira, M.
; Rahm, E.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF, 145-155, 2020, Valletta, Malta. DOI: 10.5220/0008979901450155
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2020 / 2 | ||
Christen, V.
; Christen, P.
; Rahm, E.
Proc. International Workshop on Data Integration and Applications(DINA@ECML-PKDD), Würzburg
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2019 / 9 | ||
Christen, V.
; Lin, Y.
; Groß, A.
; Cardoso, S.
; Pruski, C.
; Silveira, M.
; Rahm, E.
Data Integration in the Life Science (DILS) 2018
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2018 / 11 | ||
Cardoso, S.
; Silveira, M.
; Lin, Y.
; Christen, V.
; Rahm, E.
; Reynaud, C.
; Pruski, C.
Data Integration in the Life Science (DILS) 2018
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2018 / 11 |