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2013
15-Sep-2022
NightShift: NMR shift inference by general hybrid model training : a framework for NMR chemical shift prediction
Dehof, Anna Katharina
;
Loew, Simon
;
Lenhof, Hans-Peter
;
Hildebrandt, Andreas
2022
13-Apr-2023
A novel method for objective identification of 3-D potential vorticity anomalies
Fischer, Christoph
;
Fink, Andreas H.
;
Schömer, Elmar
;
Van der Linden, Roderick
;
Maier-Gerber, Michael
;
Rautenhaus, Marc
;
Riemer, Michael
2022
31-Oct-2022
CARE 2.0 : reducing false-positive sequencing error corrections using machine learning
Kallenborn, Felix
;
Cascitti, Julian
;
Schmidt, Bertil
2023
24-Aug-2023
HINT: a hierarchical interval index for Allen relationships
Christodoulou, George
;
Bouros, Panagiotis
;
Mamoulis, Nikos
2022
30-Nov-2022
Locality-sensitive hashing enables efficient and scalable signal classification in high-throughput mass spectrometry raw data
Bob, Konstantin
;
Teschner, David
;
Kemmer, Thomas
;
Gomez-Zepeda, David
;
Tenzer, Stefan
;
Schmidt, Bertil
;
Hildebrandt, Andreas
2023
14-Jun-2023
A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction
Hauptmann, Tony
;
Kramer, Stefan
2021
4-Jul-2022
In-Memory Interval Joins
Bouros, Panagiotis
;
Mamoulis, Nikos
;
Tsitsigkos, Dimitrios
;
Terrovitis, Manolis
2013
10-Oct-2022
Improving structural similarity based virtual screening using background knowledge
Girschick, Tobias
;
Puchbauer, Lucia
;
Kramer, Stefan
2019
25-May-2022
Projection-based improvement of 3D reconstructions from motion-impaired dental cone beam CT data
Niebler, Stefan
;
Schömer, Elmar
;
Tjaden, Henning
;
Schwanecke, Ulrich
;
Schulze, Ralf
2023
20-Dec-2023
Discriminative machine learning for maximal representative subsampling
Hauptmann, Tony
;
Fellenz, Sophie
;
Nathan, Laksan
;
Tüscher, Oliver
;
Kramer, Stefan
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Liu, Yongchao
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Gütlein, Martin
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Hauptmann, Tony
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Hildebrandt, Andreas
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Mamoulis, Nikos
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