41 Publikationen

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  • [41]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2783224 OA
    Paaßen, B., Mokbel, B., & Hammer, B. (2016). Adaptive structure metrics for automated feedback provision in intelligent tutoring systems. Neurocomputing, 192(SI), 3-13. doi:10.1016/j.neucom.2015.12.108
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  • [40]
    2016 | Bielefelder E-Dissertation | PUB-ID: 2900425 OA
    Mokbel, B. (2016). Dissimilarity-based learning for complex data. Bielefeld: Universität Bielefeld.
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  • [39]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752948 OA
    Gross, S., Mokbel, B., Hammer, B., & Pinkwart, N. (2015). Learning Feedback in Intelligent Tutoring Systems. Report of the FIT Project, Conducted from December 2011 to March 2015. KI - Künstliche Intelligenz, 29(4), 413-418. https://doi.org/10.1007/s13218-015-0367-y
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  • [38]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903777 OA
    Schulz, A., Mokbel, B., Biehl, M., & Hammer, B. (2015). Inferring Feature Relevances From Metric Learning. 2015 IEEE Symposium Series on Computational Intelligence Piscataway, NJ: IEEE. doi:10.1109/ssci.2015.225
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  • [37]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031 OA
    Mokbel, B., Paaßen, B., Schleif, F. - M., & Hammer, B. (2015). Metric learning for sequences in relational LVQ. Neurocomputing, 169(SI), 306-322. doi:10.1016/j.neucom.2014.11.082
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  • [36]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2724156 OA
    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, J. G. Boticario, C. Romero, M. Pechenizkiy, A. Merceron, P. Mitros, J. M. Luna, et al. (Eds.), Proceedings of the 8th International Conference on Educational Data Mining (pp. 632-632). International Educational Datamining Society.
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  • [34]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752955 OA
    Walter, O., Häb-Umbach, R., Mokbel, B., Paaßen, B., & Hammer, B. (2015). Autonomous Learning of Representations. KI - Künstliche Intelligenz, 29(4), 339–351. doi:10.1007/s13218-015-0372-1
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  • [33]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783369 OA
    Mokbel, B., & Schulz, A. (2015). Towards Dimensionality Reduction for Smart Home Sensor Data. In B. Hammer, T. Martinetz, & T. Villmann (Eds.), Machine Learning Reports. Proceedings of the Workshop New Challenges in Neural Computation (NC² 2015) (pp. 41-48).
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  • [32]
    2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982100
    Gross, S., Mokbel, B., Hammer, B., & Pinkwart, N. (2014). How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning. In S. Trausan-Matu, K. E. Boyer, M. Crosby, & K. Panourgia (Eds.), Lecture Notes in Computer Science. Intelligent Tutoring Systems (pp. 340-347). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-07221-0_42
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  • [31]
    2014 | Konferenzbeitrag | PUB-ID: 2909360
    Gross, S., Mokbel, B., Hammer, B., & Pinkwart, N. (2014). How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning. In S. Trausan-Matu, K. Elizabeth Boyer, M. E. Crosby, & K. Panourgia (Eds.), Lecture Notes in Computer Science: Vol. 8474. Intelligent Tutoring Systems (pp. 340-347). Springer.
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  • [30]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673554 OA
    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 (pp. 265-270). Bruges, Belgium: i6doc.com.
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  • [29]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2734058
    Gross, S., Mokbel, B., Paaßen, B., Hammer, B., & Pinkwart, N. (2014). Example-based feedback provision using structured solution spaces. International Journal of Learning Technology, 9(3), 248-280. doi:10.1504/IJLT.2014.065752
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  • [28]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2710067 OA
    Mokbel, B., Paaßen, B., & Hammer, B. (2014). Efficient Adaptation of Structure Metrics in Prototype-Based Classification. In S. Wermter, C. Weber, W. Duch, T. Honkela, P. Koprinkova-Hristova, S. Magg, G. Palm, et al. (Eds.), Lecture Notes in Computer Science: Vol. 8681. Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings (pp. 571-578). Springer. doi:10.1007/978-3-319-11179-7_72
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  • [27]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2623500
    Gisbrecht, A., Hammer, B., Mokbel, B., & Sczyrba, A. (2013). Nonlinear dimensionality reduction for cluster identification in metagenomic samples. In E. Banissi (Ed.), 17th International Conference on Information Visualisation IV 2013 (pp. 174-179). Piscataway, NJ: IEEE. doi:10.1109/IV.2013.22
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  • [26]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625185
    Mokbel, B., Gross, S., Paaßen, B., Pinkwart, N., & Hammer, B. (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., Lueks, W., Gisbrecht, A., & Hammer, B. (2013). Visualizing the quality of dimensionality reduction. Neurocomputing, 112, 109-123. doi:10.1016/j.neucom.2012.11.046
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  • [24]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2670686
    Gross, S., Mokbel, B., Hammer, B., & Pinkwart, N. (2013). Towards a Domain-Independent ITS Middleware Architecture. 2013 IEEE 13th International Conference on Advanced Learning Technologies, 408-409. IEEE. doi:10.1109/ICALT.2013.124
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  • [23]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625207
    Gross, S., Mokbel, B., Hammer, B., & Pinkwart, N. (2013). Towards Providing Feedback to Students in Absence of Formalized Domain Models. AIED, 644-648
    PUB
     
  • [22]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982108
    Gisbrecht, A., Mokbel, B., & Hammer, B. (2012). Linear basis-function t-SNE for fast nonlinear dimensionality reduction. The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8. IEEE. https://doi.org/10.1109/IJCNN.2012.6252809
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  • [21]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232
    Gisbrecht, A., Mokbel, B., Schleif, F. - M., Zhu, X., & Hammer, B. (2012). Linear Time Relational Prototype Based Learning. International Journal of Neural Systems, 22(05), 1250021. https://doi.org/10.1142/S0129065712500219
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [20]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625260
    Gisbrecht, A., Lueks, W., Mokbel, B., & Hammer, B. (2012). Out-of-sample kernel extensions for nonparametric dimensionality reduction. ESANN 2012, 531-536
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  • [19]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536426 OA
    Mokbel, B., Gross, S., Lux, M., Pinkwart, N., & Hammer, B. (2012). How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning? In N. Mana, F. Schwenker, & E. Trentin (Eds.), Lecture Notes in Artificial Intelligence: Vol. 7477. Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings (pp. 1-13). Springer Berlin Heidelberg. doi:10.1007/978-3-642-33212-8_1
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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. IJCNN
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  • [17]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625242
    Gross, S., Mokbel, B., Hammer, B., & Pinkwart, N. (2012). Feedback Provision Strategies in Intelligent Tutoring Systems Based on Clustered Solution Spaces. DeLFI, 27-38.
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  • [16]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536444 OA
    Gross, S., Mokbel, B., Hammer, B., & Pinkwart, N. (2012). Feedback Provision Strategies in Intelligent Tutoring Systems Based on Clustered Solution Spaces. In J. Desel, J. M. Haake, C. Spannagel, & Gesellschaft für Informatik (Eds.), GI-Edition : Proceedings: Vol. 207. DeLFI 2012: Die 10. e-Learning Fachtagung Informatik (pp. 27-38). Hagen, Germany: Köllen.
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  • [15]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534877
    Schleif, F. - M., Mokbel, B., Gisbrecht, A., Theunissen, L., Dürr, V., & Hammer, B. (2012). Learning Relevant Time Points for Time-Series Data in the Life Sciences. ICANN (2), Lecture Notes in Computer Science, 7553, 531-539. Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-33266-1_66
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  • [14]
    2012 | Konferenzbeitrag | PUB-ID: 2909356
    Mokbel, B., Lueks, W., Gisbrecht, A., Biehl, M., & Hammer, B. (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., Mokbel, B., Schleif, F. - M., & Zhu, X. (2012). White Box Classification of Dissimilarity Data. HAIS (1), 309-321. Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-28942-2_28
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  • [12]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982113
    Hammer, B., Gisbrecht, A., Hasenfuss, A., Mokbel, B., Schleif, F. - M., & Zhu, X. (2011). Topographic Mapping of Dissimilarity Data. In J. Laaksonen & T. Honkela (Eds.), Lecture Notes in Computer Science. Advances in Self-Organizing Maps (pp. 1-15). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-21566-7_1
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  • [11]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982111
    Hammer, B., Mokbel, B., Schleif, F. - M., & Zhu, X. (2011). Prototype-Based Classification of Dissimilarity Data. In J. Gama, E. Bradley, & J. Hollmén (Eds.), Lecture Notes in Computer Science. Advances in Intelligent Data Analysis X (pp. 185-197). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-24800-9_19
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  • [10]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982109
    Hammer, B., Biehl, M., Bunte, K., & Mokbel, B. (2011). A General Framework for Dimensionality Reduction for Large Data Sets. In J. Laaksonen & T. Honkela (Eds.), Lecture Notes in Computer Science. Advances in Self-Organizing Maps (pp. 277-287). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-21566-7_28
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  • [9]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485
    Hammer, B., Gisbrecht, A., Hasenfuss, A., Mokbel, B., Schleif, F. - M., & Zhu, X. (2011). Topographic Mapping of Dissimilarity Data. WSOM'11
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  • [8]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276512
    Hammer, B., Biehl, M., Bunte, K., & Mokbel, B. (2011). A general framework for dimensionality reduction for large data sets. WSOM'11
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  • [7]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2276531
    Gisbrecht, A., Mokbel, B., & Hammer, B. (2011). Relational Generative Topographic Mapping. Neurocomputing, 74(9), 1359-1371. https://doi.org/10.1016/j.neucom.2010.12.011
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  • [6]
    2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982117
    Gisbrecht, A., Mokbel, B., Hasenfuss, A., & Hammer, B. (2010). Visualizing Dissimilarity Data Using Generative Topographic Mapping. In R. Dillmann, J. Beyerer, U. D. Hanebeck, & T. Schultz (Eds.), Lecture Notes in Computer Science. KI 2010: Advances in Artificial Intelligence (pp. 227-237). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-16111-7_26
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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. NIPS workshop on challenges of Data Visualization
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  • [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. NIPS workshop on Challenges of Data Visualization
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  • [3]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993452
    Gisbrecht, A., Mokbel, B., & Hammer, B. (2010). Relational Generative Topographic Map. In M. Verleysen (Ed.), ESANN'10 (pp. 277-282). Evere: D side.
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  • [2]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993457
    Gisbrecht, A., Mokbel, B., Hasenfuss, A., & Hammer, B. (2010). Visualizing Dissimilarity Data using generative topographic mapping. In R. Dillmann, J. Beyerer, U. D. Hanebeck, & T. Schulz (Eds.), KI'2010 (pp. 227-237).
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  • [1]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993835
    Mokbel, B., Hasenfuss, A., & Hammer, B. (2009). Graph-based Representation of Symbolic Musical Data. In A. Torsello, F. Escolano, L. Brun, & International Association for Pattern Recognition. Technical Committee on Graph Based Representations (Eds.), Lecture notes in computer science: Vol. 5534. Graph-Based Representation in Pattern Recognition (GbRPR 2009). Lecture Notes in Computer Science, 5534 (pp. 42-51). Berlin: Springer. https://doi.org/10.1007/978-3-642-02124-4_5
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