PUB - Publikationen an der Universität Bielefeld

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• [41]
  

  2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2783224

  Paaßen, B., Mokbel, B., & Hammer, B., 2016. Adaptive structure metrics for automated feedback provision in intelligent tutoring systems. Neurocomputing, 192(SI), p 3-13.

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• [40]
  

  2016 | Bielefelder E-Dissertation | PUB-ID: 2900425

  Mokbel, B., 2016. Dissimilarity-based learning for complex data, Bielefeld: Universität Bielefeld.

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• [39]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752948

  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.

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• [38]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903777

  Schulz, A., et al., 2015. Inferring Feature Relevances From Metric Learning. In 2015 IEEE Symposium Series on Computational Intelligence. Piscataway, NJ: IEEE.

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• [37]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031

  Mokbel, B., et al., 2015. Metric learning for sequences in relational LVQ. Neurocomputing, 169(SI), p 306-322.

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• [36]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2724156

  Paaßen, B., Mokbel, B., & Hammer, B., 2015. Adaptive structure metrics for automated feedback provision in Java programming. In M. Verleysen, ed. Proceedings of the ESANN, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. pp. 307-312.

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• [35]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2762087

  Paaßen, B., Mokbel, B., & Hammer, B., 2015. A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems. In O. C. Santos, et al., eds. Proceedings of the 8th International Conference on Educational Data Mining. International Educational Datamining Society, pp. 632-632.

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• [34]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752955

  Walter, O., et al., 2015. Autonomous Learning of Representations. KI - Künstliche Intelligenz, 29(4), p 339–351.

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• [33]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783369

  Mokbel, B., & Schulz, A., 2015. Towards Dimensionality Reduction for Smart Home Sensor Data. In B. Hammer, T. Martinetz, & T. Villmann, eds. Proceedings of the Workshop New Challenges in Neural Computation (NC² 2015). Machine Learning Reports. pp. 41-48.

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• [32]
  

  2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982100

  Gross, S., et al., 2014. How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning. In S. Trausan-Matu, et al., eds. Intelligent Tutoring Systems. Lecture Notes in Computer Science. Cham: Springer International Publishing, pp. 340-347.

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• [31]
  

  2014 | Konferenzbeitrag | PUB-ID: 2909360

  Gross, S., et al., 2014. How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning. In S. Trausan-Matu, et al., eds. Intelligent Tutoring Systems. Lecture Notes in Computer Science. no.8474 Springer, pp. 340-347.

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• [30]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673554

  Mokbel, B., Paaßen, B., & Hammer, B., 2014. Adaptive distance measures for sequential data. In M. Verleysen, ed. ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium: i6doc.com, pp. 265-270.

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• [29]
  

  2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2734058

  Gross, S., et al., 2014. Example-based feedback provision using structured solution spaces. International Journal of Learning Technology, 9(3), p 248-280.

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• [28]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2710067

  Mokbel, B., Paaßen, B., & Hammer, B., 2014. Efficient Adaptation of Structure Metrics in Prototype-Based Classification. In S. Wermter, et al., eds. Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings. Lecture Notes in Computer Science. no.8681 Springer, pp. 571-578.

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• [27]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2623500

  Gisbrecht, A., et al., 2013. Nonlinear dimensionality reduction for cluster identification in metagenomic samples. In E. Banissi, ed. 17th International Conference on Information Visualisation IV 2013. Piscataway, NJ: IEEE, pp. 174-179.

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• [26]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625185

  Mokbel, B., et al., 2013. Domain-Independent Proximity Measures in Intelligent Tutoring Systems. In S. K. D'Mello, R. A. Calvo, & A. Olney, eds. Proceedings of the 6th International Conference on Educational Data Mining (EDM). pp. 334-335.

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• [25]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2612736

  Mokbel, B., et al., 2013. Visualizing the quality of dimensionality reduction. Neurocomputing, 112, p 109-123.

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• [24]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2670686

  Gross, S., et al., 2013. Towards a Domain-Independent ITS Middleware Architecture. In 2013 IEEE 13th International Conference on Advanced Learning Technologies. IEEE, pp. 408-409.

  PUB | DOI | WoS
   
• [23]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625207

  Gross, S., et al., 2013. Towards Providing Feedback to Students in Absence of Formalized Domain Models. In AIED. pp. 644-648.

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• [22]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982108

  Gisbrecht, A., Mokbel, B., & Hammer, B., 2012. Linear basis-function t-SNE for fast nonlinear dimensionality reduction. In The 2012 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-8.

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• [21]
  

  2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232

  Gisbrecht, A., et al., 2012. Linear Time Relational Prototype Based Learning. International Journal of Neural Systems, 22(05): 1250021.

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• [20]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625260

  Gisbrecht, A., et al., 2012. Out-of-sample kernel extensions for nonparametric dimensionality reduction. In ESANN 2012. pp. 531-536.

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• [19]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536426

  Mokbel, B., et al., 2012. How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning? In N. Mana, F. Schwenker, & E. Trentin, eds. Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings. Lecture Notes in Artificial Intelligence. no.7477 Springer Berlin Heidelberg, pp. 1-13.

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• [18]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625276

  Gisbrecht, A., Mokbel, B., & Hammer, B., 2012. Linear Basis-Function t-SNE for Fast Nonlinear Dimensionality Reduction. In IJCNN.

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• [17]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625242

  Gross, S., et al., 2012. Feedback Provision Strategies in Intelligent Tutoring Systems Based on Clustered Solution Spaces. In DeLFI. pp. 27-38.

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• [16]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536444

  Gross, S., et al., 2012. Feedback Provision Strategies in Intelligent Tutoring Systems Based on Clustered Solution Spaces. In J. Desel, et al., eds. DeLFI 2012: Die 10. e-Learning Fachtagung Informatik. GI-Edition : Proceedings. no.207 Hagen, Germany: Köllen, pp. 27-38.

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• [15]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534877

  Schleif, F.-M., et al., 2012. Learning Relevant Time Points for Time-Series Data in the Life Sciences. In ICANN (2). Lecture Notes in Computer Science. no.7553 Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 531-539.

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• [14]
  

  2012 | Konferenzbeitrag | PUB-ID: 2909356

  Mokbel, B., et al., 2012. Visualizing the quality of dimensionality reduction. In M. Verleysen, ed. ESANN 2012. pp. 179--184.

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• [13]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534868

  Hammer, B., et al., 2012. White Box Classification of Dissimilarity Data. In HAIS (1). Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 309-321.

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• [12]
  

  2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982113

  Hammer, B., et al., 2011. Topographic Mapping of Dissimilarity Data. In J. Laaksonen & T. Honkela, eds. Advances in Self-Organizing Maps. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 1-15.

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• [11]
  

  2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982111

  Hammer, B., et al., 2011. Prototype-Based Classification of Dissimilarity Data. In J. Gama, E. Bradley, & J. Hollmén, eds. Advances in Intelligent Data Analysis X. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 185-197.

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• [10]
  

  2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982109

  Hammer, B., et al., 2011. A General Framework for Dimensionality Reduction for Large Data Sets. In J. Laaksonen & T. Honkela, eds. Advances in Self-Organizing Maps. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 277-287.

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• [9]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485

  Hammer, B., et al., 2011. Topographic Mapping of Dissimilarity Data. In WSOM'11.

  PUB
   
• [8]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276512

  Hammer, B., et al., 2011. A general framework for dimensionality reduction for large data sets. In WSOM'11.

  PUB
   
• [7]
  

  2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2276531

  Gisbrecht, A., Mokbel, B., & Hammer, B., 2011. Relational Generative Topographic Mapping. Neurocomputing, 74(9), p 1359-1371.

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• [6]
  

  2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982117

  Gisbrecht, A., et al., 2010. Visualizing Dissimilarity Data Using Generative Topographic Mapping. In R. Dillmann, et al., eds. KI 2010: Advances in Artificial Intelligence. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 227-237.

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• [5]
  

  2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276543

  Gisbrecht, A., Mokbel, B., & Hammer, B., 2010. The Nystrom approximation for relational generative topographic mappings. In NIPS workshop on challenges of Data Visualization.

  PUB
   
• [4]
  

  2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276547

  Mokbel, B., Gisbrecht, A., & Hammer, B., 2010. On the effect of clustering on quality assessment measures for dimensionality reduction. In NIPS workshop on Challenges of Data Visualization.

  PUB
   
• [3]
  

  2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993452

  Gisbrecht, A., Mokbel, B., & Hammer, B., 2010. Relational Generative Topographic Map. In M. Verleysen, ed. ESANN'10. Evere: D side, pp. 277-282.

  PUB
   
• [2]
  

  2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993457

  Gisbrecht, A., et al., 2010. Visualizing Dissimilarity Data using generative topographic mapping. In R. Dillmann, et al., eds. KI'2010. pp. 227-237.

  PUB
   
• [1]
  

  2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993835

  Mokbel, B., Hasenfuss, A., & Hammer, B., 2009. Graph-based Representation of Symbolic Musical Data. In A. Torsello, et al., eds. Graph-Based Representation in Pattern Recognition (GbRPR 2009). Lecture Notes in Computer Science, 5534. Lecture notes in computer science. no.5534 Berlin: Springer, pp. 42-51.

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