DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN von Schubert, Erich, Sander, Jörg, Ester, Martin, Kriegel, Hans Peter, Xu, Xiaowei

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Automatic segmentation with detection of local segmentation failures in cardiac MRI von Sander, Jörg, de Vos, Bob D., Išgum, Ivana

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Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection von Campello, Ricardo J. G. B., Moulavi, Davoud, Zimek, Arthur, Sander, Jörg

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On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study von Campos, Guilherme O., Zimek, Arthur, Sander, Jörg, Campello, Ricardo J. G. B., Micenková, Barbora, Schubert, Erich, Assent, Ira, Houle, Michael E.

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Mining Statistically Significant Co-location and Segregation Patterns von Barua, Sajib, Sander, Jorg

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Density‐based clustering von Campello, Ricardo J. G. B., Kröger, Peer, Sander, Jörg, Zimek, Arthur

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Multi-Aspect Review-Team Assignment using Latent Research Areas von Mirzaei, Maryam, Sander, Jörg, Stroulia, Eleni

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Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI von Sander, Jörg, de Vos, Bob D., Išgum, Ivana

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Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representations von Sander, Jörg, de Vos, Bob D., Bruns, Steffen, Planken, Nils, Viergever, Max A., Leiner, Tim, Išgum, Ivana

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Internal Evaluation of Unsupervised Outlier Detection von Marques, Henrique O., Campello, Ricardo J. G. B., Sander, Jörg, Zimek, Arthur

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On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles von Marques, Henrique O., Swersky, Lorne, Sander, Jörg, Campello, Ricardo J. G. B., Zimek, Arthur

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Density-based clustering von Kriegel, Hans-Peter, Kröger, Peer, Sander, Jörg, Zimek, Arthur

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Biological data annotation via a human-augmenting AI-based labeling system von van der Wal, Douwe, Jhun, Iny, Laklouk, Israa, Nirschl, Jeff, Richer, Lara, Rojansky, Rebecca, Theparee, Talent, Wheeler, Joshua, Sander, Jörg, Feng, Felix, Mohamad, Osama, Savarese, Silvio, Socher, Richard, Esteva, Andre

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A unified view of density-based methods for semi-supervised clustering and classification von Castro Gertrudes, Jadson, Zimek, Arthur, Sander, Jörg, Campello, Ricardo J. G. B.

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Towards automatic classification of cardiovascular magnetic resonance Task Force Criteria for diagnosis of arrhythmogenic right ventricular cardiomyopathy von Bourfiss, Mimount, Sander, Jörg, de Vos, Bob D., te Riele, Anneline S. J. M., Asselbergs, Folkert W., Išgum, Ivana, Velthuis, Birgitta K.

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Mediengestutztes Bildungsmanagement: Virtuelle Lernwelten fur Unternehmen von Sander, Jorg

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Efficient Computation and Visualization of Multiple Density-Based Clustering Hierarchies von Neto, Antonio Cavalcante Araujo, Sander, Jorg, Campello, Ricardo J. G. B., Nascimento, Mario A.

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On strategies for building effective ensembles of relative clustering validity criteria von Jaskowiak, Pablo A., Moulavi, Davoud, Furtado, Antonio C. S., Campello, Ricardo J. G. B., Zimek, Arthur, Sander, Jörg

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Similarity-Based Unsupervised Evaluation of Outlier Detection von Marques, Henrique O., Zimek, Arthur, Campello, Ricardo J. G. B., Sander, Jörg

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Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications von Sander, Jörg, Martin, Ester, Kriegel, Hans-Peter, Xu, Xiaowei

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