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PreviewIssue dateOnline publication dateTitleAuthor(s)
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
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
motion_correction_for_separat-20230724140945582.pdf.jpg20233-Aug-2023Motion correction for separate mandibular and cranial movements in cone beam CT reconstructionsBirklein, Lukas; Niebler, Stefan; Schömer, Elmar; Brylka, Robert; Schwanecke, Ulrich; Schulze, Ralf
unsupervised_anomaly_detectio-20231024123056059.pdf.jpg202324-Oct-2023Unsupervised anomaly detection of implausible electronic health records : a real-world evaluation in cancer registriesRöchner, Philipp; Rothlauf, Franz
albrecht_steffen-seqqscorer__au-20210917111217183.pdf.jpg202120-Sep-2021seqQscorer: automated quality control of next-generation sequencing data using machine learningAlbrecht, Steffen; Sprang, Maximilian; Andrade, Miguel; Fontaine, Jean-Fred
inmemory_interval_joins-20220701133214926.pdf.jpg20214-Jul-2022In-Memory Interval JoinsBouros, Panagiotis; Mamoulis, Nikos; Tsitsigkos, Dimitrios; Terrovitis, Manolis
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
genetic_programming_for_itera-20220729163924349.pdf.jpg20223-Aug-2022Genetic programming for iterative numerical methodsSobania, Dominik; Schmitt, Jonas; Köstler, Harald; Rothlauf, Franz
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
althaus_ernst-computing_eucl-20210421124547767.pdf.jpg202011-May-2021Computing Euclidean Steiner trees over segmentsAlthaus, Ernst; Rauterberg, Felix; Ziegler, Sarah