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Results 11-20 of 20 (Search time: 0.013 seconds).
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PreviewIssue dateOnline publication dateTitleAuthor(s)
nightshift__nmr_shift_inferen-20220913201246106.pdf.jpg201315-Sep-2022NightShift: NMR shift inference by general hybrid model training : a framework for NMR chemical shift predictionDehof, Anna Katharina; Loew, Simon; Lenhof, Hans-Peter; Hildebrandt, Andreas
a_novel_method_for_objective_-20230223101947788.pdf.jpg202213-Apr-2023A novel method for objective identification of 3-D potential vorticity anomaliesFischer, Christoph; Fink, Andreas H.; Schömer, Elmar; Van der Linden, Roderick; Maier-Gerber, Michael; Rautenhaus, Marc; Riemer, Michael
care_20__reducing_falsepositi-20221020145914717.pdf.jpg202231-Oct-2022CARE 2.0 : reducing false-positive sequencing error corrections using machine learningKallenborn, Felix; Cascitti, Julian; Schmidt, Bertil
hint__a_hierarchical_interval-20230815142323059.pdf.jpg202324-Aug-2023HINT: a hierarchical interval index for Allen relationshipsChristodoulou, George; Bouros, Panagiotis; Mamoulis, Nikos
localitysensitive_hashing_ena-20221129143959201.pdf.jpg202230-Nov-2022Locality-sensitive hashing enables efficient and scalable signal classification in high-throughput mass spectrometry raw dataBob, Konstantin; Teschner, David; Kemmer, Thomas; Gomez-Zepeda, David; Tenzer, Stefan; Schmidt, Bertil; Hildebrandt, Andreas
a_fair_experimental_compariso-20230614103216807.pdf.jpg202314-Jun-2023A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response predictionHauptmann, Tony; Kramer, Stefan
inmemory_interval_joins-20220701133214926.pdf.jpg20214-Jul-2022In-Memory Interval JoinsBouros, Panagiotis; Mamoulis, Nikos; Tsitsigkos, Dimitrios; Terrovitis, Manolis
improving_structural_similari-20220924205440811.pdf.jpg201310-Oct-2022Improving structural similarity based virtual screening using background knowledgeGirschick, Tobias; Puchbauer, Lucia; Kramer, Stefan
projectionbased_improvement_o-20220525114531380.pdf.jpg201925-May-2022Projection-based improvement of 3D reconstructions from motion-impaired dental cone beam CT dataNiebler, Stefan; Schömer, Elmar; Tjaden, Henning; Schwanecke, Ulrich; Schulze, Ralf
discriminative_machine_learni-20231215102324854.pdf.jpg202320-Dec-2023Discriminative machine learning for maximal representative subsamplingHauptmann, Tony; Fellenz, Sophie; Nathan, Laksan; Tüscher, Oliver; Kramer, Stefan

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