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43 Publikationen

2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2919005
Schulz, T., Stoye, J., & Dörr, D., 2018. GraphTeams. A method for discovering spatial gene clusters in Hi-C sequencing data. BMC Genomics, 19(Suppl. 5): 308.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2931048
Müller, R., & Nebel, M., 2018. GeFaST: An improved method for OTU assignment by generalising Swarm’s fastidious clustering approach. BMC Bioinformatics, 19: 321.
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2018 | Preprint | Veröffentlicht | PUB-ID: 2921209
Hosseini, B., & Hammer, B., 2018. Non-Negative Local Sparse Coding for Subspace Clustering. Advances in Intelligent Data Analysis XVII. IDA 2018.
PUB | Datei | Download (ext.) | arXiv
 
2018 | Datenpublikation | PUB-ID: 2916980
Paaßen, B., 2018. Relational Neural Gas. Bielefeld University. doi:10.4119/unibi/2916980
PUB | Dateien verfügbar | DOI
 
2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2907633
Lux, M., et al., 2016. acdc – Automated Contamination Detection and Confidence estimation for single-cell genome data. BMC Bioinformatics, 17: 543.
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2016 | Diskussionspapier | Veröffentlicht | PUB-ID: 2906000
Gauer, F., & Landwehr, J., 2016. Continuous homophily and clustering in random networks, Center for Mathematical Economics Working Papers, no.515, Version August 2016., Bielefeld: Center for Mathematical Economics.
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2904836
Heyer, R., et al., 2016. Proteotyping of biogas plant microbiomes separates biogas plants according to process temperature and reactor type. Biotechnology for Biofuels, 9(1): 155.
PUB | DOI | WoS | PubMed | Europe PMC
 
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2916727
Gross, S., et al., 2015. Learning Feedback in Intelligent Tutoring Systems Report of the FIT Project, Conducted from December 2011 to March 2015. KI - Künstliche Intelligenz, 29(4), p 413-418.
PUB | DOI | WoS
 
2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752948
Gross, S., et al., 2015. Learning Feedback in Intelligent Tutoring Systems. KI - Künstliche Intelligenz, , p 1-6.
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2014 | Diskussionspapier | Veröffentlicht | PUB-ID: 2708677
Gauer, F., & Landwehr, J., 2014. Continuous homophily and clustering in random networks, Center for Mathematical Economics Working Papers, no.515, July 2014., Bielefeld: Center for Mathematical Economics, Bielefeld University.
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2014 | Konferenzbeitrag | Im Druck | PUB-ID: 2690335
Rathke, M., et al., In Press. 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.
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2663466
Reuter, T., et al., 2014. ReSEED: Social Event dEtection Dataset. In Proceedings of ACM MMSys '14. Singapore.
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2013 | Konferenzbeitrag | PUB-ID: 2902861
Walter, O., et al., 2013. A hierarchical system for word discovery exploiting DTW-based initialization. In IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013. IEEE, pp. 386-391.
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2013 | Bielefelder E-Dissertation | PUB-ID: 2644664
Beyer, O., 2013. Life-long learning with Growing Conceptual Maps, Bielefeld: Bielefeld University.
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2606529
Tuma, M.N., & Decker, R., 2013. Finite Mixture Models in Market Segmentation: A Review and Suggestions for Best Practices. Electronic Journal of Business Research Methods, 11(1), p 2-15.
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2495320
Schindler, D., 2013. User-Generated Content for Image Clustering and Marketing Purposes. In B. Lausen, D. Van den Poel, & A. Ultsch, eds. Algorithms from and for Nature and Life, Classification and Data Analysis. Cham u.a.: Springer, pp. 473-480.
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2493008
Reuter, T., & Cimiano, P., 2012. Event-based Classification of Social Media Streams. In Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR 2012).
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2498997
Tscherepanow, M., 2012. Incremental On-line Clustering with a Topology-Learning Hierarchical ART Neural Network Using Hyperspherical Categories. In P. Perner, ed. Poster and Industry Proceedings of the Industrial Conference on Data Mining (ICDM). Fockendorf, Germany: ibai-publishing, pp. 22-34.
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2519221
Tscherepanow, M., Kühnel, S., & Riechers, S., 2012. Episodic Clustering of Data Streams Using a Topology-Learning Neural Network. In V. Lemaire, J. - C. Lamirel, & P. Cuxac, eds. Proceedings of the ECAI Workshop on Active and Incremental Learning (AIL). pp. 24-29.
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2509852
Zhu, X., et al., 2012. Approximation techniques for clustering dissimilarity data. Neurocomputing, 90, p 72-84.
PUB | DOI | WoS
 

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