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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 18

Zeitschriftenartikel

Börner, Nikolaus; Schönberg, Markus B.; Pöschke, Philipp; Heiliger, Christian; Jacob, Sven; Koch, Dominik; Pöllmann, Benedikt; Drefs, Moritz; Koliogiannis, Dionysios; Böhm, Christian; Karcz, Konrad W.; Werner, Jens und Guba, Markus (2022): A Novel Deep Learning Model as a Donor-Recipient Matching Tool to Predict Survival after Liver Transplantation. In: Journal of Clinical Medicine, Bd. 11, Nr. 21 [PDF, 539kB]

Ye, Wei; Mautz, Dominik; Böhm, Christian; Singh, Ambuj und Plant, Claudia (2021): Incorporating User's Preference into Attributed Graph Clustering. In: IEEE Transactions on Knowledge and Data Engineering, Bd. 33, Nr. 12: S. 3716-3728

Sun, Xin; Yu, Yongbo; Liang, Yao; Dong, Junyu; Plant, Claudia und Böhm, Christian (2021): Fusing attributed and topological global-relations for network embedding. In: Information Sciences, Bd. 558: S. 76-90

Böhm, Christian; Perdacher, Martin und Plant, Claudia (2021): A Novel Hilbert Curve for Cache-Locality Preserving Loops. In: IEEE Transactions on Big Data, Bd. 7, Nr. 2: S. 241-254

Krischer, Lion; Fichtner, Andreas; Böhm, Christian und Igel, Heiner (2018): Automated Large-Scale Full Seismic Waveform Inversion for North America and the North Atlantic. In: Journal of Geophysical Research-Solid Earth, Bd. 123, Nr. 7: S. 5902-5928

Mautz, Dominik; Ye, Wei; Plant, Claudia und Böhm, Christian (2018): Discovering Non-Redundant K-means Clusterings in Optimal Subspaces. In: Kdd'18: Proceedings of the 24Th Acm Sigkdd International Conference on Knowledge Discovery & Data Mining: S. 1973-1982

Shao, Junming; Wang, Xinzuo; Yang, Qinli; Plant, Claudia und Böhm, Christian (2017): Synchronization-based scalable subspace clustering of high-dimensional data. In: Knowledge and information Systems, Bd. 52, Nr. 1: S. 83-111

Zhou, Linfei; Wackersreuther, Bianca; Fiedler, Frank; Plant, Claudia und Böhm, Christian (2016): Gaussian Component based Index for GMMs. In: 2016 IEEE 16th international Conference On Data Mining (ICDM): S. 1365-1370

Buchbeitrag

Böhm, Christian; Etterer, Florian; Kempa, Daniela; König, Bettina; Matthes, Gesa; Schaffrin, André; Schindele, Stephan; Schneider, Jens und Streit, Anne von (2019): Land nachhaltig nutzen. In: Schön, Susanne; Eismann, Christian; Wendt-Schwarzburg, Helke und Ansmann, Till (Hrsg.): Nachhaltige Landnutzung managen : Akteure beteiligen - Ideen entwickeln - Konflikte lösen. Bielefeld: wbv. S. 13-24

Böhm, Birgit; Böhm, Christian; Huusmann, Peter; Liesenfeld, Joachim; Preising, Tobias; Schindele, Stephan; Streit, Anne von; Strothe, Lena und Terhorst, Alexandra (2019): Politik und Verwaltung konstruktiv stören. In: Schön, Susanne; Eismann, Christian; Wendt-Schwarzburg, Helke und Ansmann, Till (Hrsg.): Nachhaltige Landnutzung managen : Akteure beteiligen - Ideen entwickeln - Konflikte lösen. Bielefeld: wbv. S. 81-91

Zhou, Linfei; Georgii, Elisabeth; Plant, Claudia und Böhm, Christian (2016): Covariate-Related Structure Extraction from Paired Data. In: Renda, M. Elena (Hrsg.): Information Technology in Bio- and Medical Informatics: 7th International Conference, ITBAM 2016, Porto, Portugal, September 5-8, 2016, Proceedings. Information Systems and Applications, incl. Internet/Web, and HCI, Bd. 9832. Cham: Springer. S. 151-162

Konferenzbeitrag

Miklautz, Lukas; Teuffenbach, Martin; Weber, Pascal; Perjuci, Rona; Durani, Walid; Böhm, Christian und Plant, Claudia (2022): Deep Clustering With Consensus Representations. 22nd IEEE International Conference on Data Mining (ICDM), Orlando, Florida, USA, November 28 - December 1, 2022. In: 2022 IEEE International Conference on Data Mining (ICDM), IEEE. S. 1119-1124

Durani, Walid; Mautz, Dominik; Plant, Claudia und Böhm, Christian (2022): DBHD: Density-based clustering for highly varying density. 2022 IEEE International Conference on Data Mining (ICDM), Orlando, FL, USA, 28 November 2022 - 01 December 2022. In: 2022 IEEE International Conference on Data Mining (ICDM), S. 921-926

Leiber, Collin; Bauer, Lena G. M.; Schelling, Benjamin; Böhm, Christian und Plant, Claudia (2021): Dip-based Deep Embedded Clustering with k-Estimation. KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Singapore, August 14 - 18, 2021. In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, New York: ACM. S. 903-913

Zhou, Linfei; Plant, Claudia und Böhm, Christian (2017): Joint Gaussian Based Measures for Multiple-Instance Learning. 2017 IEEE 33rd International Conference on Data Engineering (ICDE), San Diego, CA, 19-22 April 2017. Institute of Electrical and Electronics Engineers (Hrsg.), In: ICDE 2017 : 2017 IEEE 33rd International Conference on Data Engineering : 19-22 April 2017, San Diego, California, USA : proceedings, Piscataway, NJ: IEEE. S. 203-206

Böhm, Christian; Perdacher, Martin und Plant, Claudia (2016): Cache-oblivious Loops Based on a Novel Space-filling Curve. 2016 IEEE International Conference on Big Data (Big Data), Washington D.C., USA, 5-8 December 2016. IEEE Computer Society. S. 17-26

Mautz, Dominik; Böhm, Christian und Plant, Claudia (2016): Subspace Clustering Ensembles Through Tensor Decomposition. IEEE 16th International Conference on Data Mining Workshops (ICDMW), Barcelona, Catalonia, Spain, 12-15 Dec. 2016. IEEE Computer Society. S. 1225-1234

Goebl, Sebastian; Tonch, Annika; Böhm, Christian und Plant, Claudia (2016): MeGS: Partitioning Meaningful Subgraph Structures using Minimum Description Length. 2016 IEEE 16th International Conference on Data Mining (ICDM), Barcelona, Catalonia, Spain, 12-15 Dec. 2016. IEEE Computer Soc.. S. 889-894

Diese Liste wurde am Sat Apr 20 20:48:53 2024 CEST erstellt.