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43 Publikationen

2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2919005
T. Schulz, J. Stoye, and D. Dörr, “GraphTeams. A method for discovering spatial gene clusters in Hi-C sequencing data”, BMC Genomics, vol. 19, 2018, : 308.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2931048
R. Müller and M. Nebel, “GeFaST: An improved method for OTU assignment by generalising Swarm’s fastidious clustering approach”, BMC Bioinformatics, vol. 19, 2018, : 321.
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2018 | Preprint | Veröffentlicht | PUB-ID: 2921209
B. Hosseini and B. Hammer, “Non-Negative Local Sparse Coding for Subspace Clustering”, Advances in Intelligent Data Analysis XVII. IDA 2018, 2018.
PUB | Datei | Download (ext.) | arXiv
 
2018 | Datenpublikation | PUB-ID: 2916980
B. Paaßen, Relational Neural Gas. Bielefeld University, 2018. doi:10.4119/unibi/2916980.
PUB | Dateien verfügbar | DOI
 
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2907633
M. Lux, et al., “acdc – Automated Contamination Detection and Confidence estimation for single-cell genome data”, BMC Bioinformatics, vol. 17, 2016, : 543.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
2016 | Diskussionspapier | Veröffentlicht | PUB-ID: 2906000
F. Gauer and J. Landwehr, Continuous homophily and clustering in random networks, Center for Mathematical Economics Working Papers, vol. 515, Version August 2016., Bielefeld: Center for Mathematical Economics, 2016.
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2904836
R. Heyer, et al., “Proteotyping of biogas plant microbiomes separates biogas plants according to process temperature and reactor type”, Biotechnology for Biofuels, vol. 9, 2016, : 155.
PUB | DOI | WoS | PubMed | Europe PMC
 
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2916727
S. Gross, et al., “Learning Feedback in Intelligent Tutoring Systems Report of the FIT Project, Conducted from December 2011 to March 2015”, KI - Künstliche Intelligenz, vol. 29, 2015, pp. 413-418.
PUB | DOI | WoS
 
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752948
S. Gross, et al., “Learning Feedback in Intelligent Tutoring Systems”, KI - Künstliche Intelligenz, 2015, pp. 1-6.
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2014 | Diskussionspapier | Veröffentlicht | PUB-ID: 2708677
F. Gauer and J. Landwehr, Continuous homophily and clustering in random networks, Center for Mathematical Economics Working Papers, vol. 515, July 2014., Bielefeld: Center for Mathematical Economics, Bielefeld University, 2014.
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2014 | Konferenzbeitrag | Im Druck | PUB-ID: 2690335
M. Rathke, et al., “Interactive and dynamic web-based visual exploration of high dimensional bioimages with real time clustering”, Presented at the German Conference on Bioinformatics (GCB), Bielefeld, Germany, In Press.
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2663466
T. Reuter, et al., “ReSEED: Social Event dEtection Dataset”, Proceedings of ACM MMSys '14, Singapore: 2014.
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2013 | Konferenzbeitrag | PUB-ID: 2902861
O. Walter, et al., “A hierarchical system for word discovery exploiting DTW-based initialization”, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013, IEEE, 2013, pp.386-391.
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2013 | Bielefelder E-Dissertation | PUB-ID: 2644664
O. Beyer, Life-long learning with Growing Conceptual Maps, Bielefeld: Bielefeld University, 2013.
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2606529
M.N. Tuma and R. Decker, “Finite Mixture Models in Market Segmentation: A Review and Suggestions for Best Practices”, Electronic Journal of Business Research Methods, vol. 11, 2013, pp. 2-15.
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2495320
D. Schindler, “User-Generated Content for Image Clustering and Marketing Purposes”, Algorithms from and for Nature and Life, Classification and Data Analysis, B. Lausen, D. Van den Poel, and A. Ultsch, eds., Cham u.a.: Springer, 2013, pp.473-480.
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2493008
T. Reuter and P. Cimiano, “Event-based Classification of Social Media Streams”, Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR 2012), 2012.
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2498997
M. Tscherepanow, “Incremental On-line Clustering with a Topology-Learning Hierarchical ART Neural Network Using Hyperspherical Categories”, Poster and Industry Proceedings of the Industrial Conference on Data Mining (ICDM), P. Perner, ed., Fockendorf, Germany: ibai-publishing, 2012, pp.22-34.
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2519221
M. Tscherepanow, S. Kühnel, and S. Riechers, “Episodic Clustering of Data Streams Using a Topology-Learning Neural Network”, Proceedings of the ECAI Workshop on Active and Incremental Learning (AIL), V. Lemaire, J.-C. Lamirel, and P. Cuxac, eds., 2012, pp.24-29.
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2509852
X. Zhu, et al., “Approximation techniques for clustering dissimilarity data”, Neurocomputing, vol. 90, 2012, pp. 72-84.
PUB | DOI | WoS
 

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