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PreviewIssue dateOnline publication dateTitleAuthor(s)
filtered_circular_fingerprint-20220714105635233.pdf.jpg201615-Jul-2022Filtered circular fingerprints improve either prediction or runtime performance while retaining interpretabilityGütlein, Martin; 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
improving_structural_similari-20220924205440811.pdf.jpg201310-Oct-2022Improving structural similarity based virtual screening using background knowledgeGirschick, Tobias; Puchbauer, Lucia; Kramer, Stefan
cushaw3___sensitive_and_accur-20220925163323120.pdf.jpg201414-Oct-2022CUSHAW3 : sensitive and accurate base-space and color-space short-read alignment with hybrid seedingLiu, Yongchao; Popp, Bernt; Schmidt, Bertil
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
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
studying_the_evolution_of_neu-20220322111055686.pdf.jpg202124-Mar-2022Studying the evolution of neural activation patterns during training of feed-forward ReLU networksHartmann, David; Franzen, Daniel; Brodehl, Sebastian
althaus_ernst-computing_eucl-20210421124547767.pdf.jpg202011-May-2021Computing Euclidean Steiner trees over segmentsAlthaus, Ernst; Rauterberg, Felix; Ziegler, Sarah
burkhardt_sophie-rule_extractio-20211116105518514.pdf.jpg202116-Nov-2021Rule extraction from binary neural networks with convolutional rules for model validationBurkhardt, Sophie; Brugger, Jannis; Wagner, Nicole; Ahmadi, Zahra; Kersting, Kristian; Kramer, Stefan