Bassam Mokbel

bmokbel@techfak.uni-bielefeld.de
PEVZ-ID
18880650

41 Publikationen

Alle markieren

  • [41]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2783224 OA
    Paaßen, B., Mokbel, B., Hammer, B.: Adaptive structure metrics for automated feedback provision in intelligent tutoring systems. Neurocomputing. 192, 3-13 (2016).
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  • [40]
    2016 | Bielefelder E-Dissertation | PUB-ID: 2900425 OA
    Mokbel, B.: Dissimilarity-based learning for complex data. Universität Bielefeld, Bielefeld (2016).
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  • [39]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752948 OA
    Gross, S., Mokbel, B., Hammer, B., Pinkwart, N.: Learning Feedback in Intelligent Tutoring Systems. Report of the FIT Project, Conducted from December 2011 to March 2015. KI - Künstliche Intelligenz. 29, 413-418 (2015).
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  • [38]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2903777 OA
    Schulz, A., Mokbel, B., Biehl, M., Hammer, B.: Inferring Feature Relevances From Metric Learning. 2015 IEEE Symposium Series on Computational Intelligence. IEEE, Piscataway, NJ (2015).
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  • [37]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031 OA
    Mokbel, B., Paaßen, B., Schleif, F.-M., Hammer, B.: Metric learning for sequences in relational LVQ. Neurocomputing. 169, 306-322 (2015).
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  • [36]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2724156 OA
    Paaßen, B., Mokbel, B., Hammer, B.: Adaptive structure metrics for automated feedback provision in Java programming. In: Verleysen, M. (ed.) Proceedings of the ESANN, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. p. 307-312. (2015).
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  • [35]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2762087
    Paaßen, B., Mokbel, B., Hammer, B.: A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems. In: Santos, O.C., Boticario, J.G., Romero, C., Pechenizkiy, M., Merceron, A., Mitros, P., Luna, J.M., Mihaescu, C., Moreno, P., Hershkovitz, A., Ventura, S., and Desmarais, M. (eds.) Proceedings of the 8th International Conference on Educational Data Mining. p. 632-632. International Educational Datamining Society (2015).
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  • [34]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752955 OA
    Walter, O., Häb-Umbach, R., Mokbel, B., Paaßen, B., Hammer, B.: Autonomous Learning of Representations. KI - Künstliche Intelligenz. 29, 339–351 (2015).
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  • [33]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783369 OA
    Mokbel, B., Schulz, A.: Towards Dimensionality Reduction for Smart Home Sensor Data. In: Hammer, B., Martinetz, T., and Villmann, T. (eds.) Proceedings of the Workshop New Challenges in Neural Computation (NC² 2015). Machine Learning Reports. p. 41-48. (2015).
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  • [32]
    2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982100
    Gross, S., Mokbel, B., Hammer, B., Pinkwart, N.: How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning. In: Trausan-Matu, S., Boyer, K.E., Crosby, M., and Panourgia, K. (eds.) Intelligent Tutoring Systems. Lecture Notes in Computer Science. p. 340-347. Springer International Publishing, Cham (2014).
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  • [31]
    2014 | Konferenzbeitrag | PUB-ID: 2909360
    Gross, S., Mokbel, B., Hammer, B., Pinkwart, N.: How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning. In: Trausan-Matu, S., Elizabeth Boyer, K., E. Crosby, M., and Panourgia, K. (eds.) Intelligent Tutoring Systems. Lecture Notes in Computer Science. 8474, p. 340-347. Springer (2014).
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  • [30]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673554 OA
    Mokbel, B., Paaßen, B., Hammer, B.: Adaptive distance measures for sequential data. In: Verleysen, M. (ed.) ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. p. 265-270. i6doc.com, Bruges, Belgium (2014).
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  • [29]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2734058
    Gross, S., Mokbel, B., Paaßen, B., Hammer, B., Pinkwart, N.: Example-based feedback provision using structured solution spaces. International Journal of Learning Technology. 9, 248-280 (2014).
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  • [28]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2710067 OA
    Mokbel, B., Paaßen, B., Hammer, B.: Efficient Adaptation of Structure Metrics in Prototype-Based Classification. In: Wermter, S., Weber, C., Duch, W., Honkela, T., Koprinkova-Hristova, P., Magg, S., Palm, G., and Villa, A. (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. 8681, p. 571-578. Springer (2014).
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  • [27]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2623500
    Gisbrecht, A., Hammer, B., Mokbel, B., Sczyrba, A.: Nonlinear dimensionality reduction for cluster identification in metagenomic samples. In: Banissi, E. (ed.) 17th International Conference on Information Visualisation IV 2013. p. 174-179. IEEE, Piscataway, NJ (2013).
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  • [26]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625185
    Mokbel, B., Gross, S., Paaßen, B., Pinkwart, N., Hammer, B.: Domain-Independent Proximity Measures in Intelligent Tutoring Systems. In: D'Mello, S.K., Calvo, R.A., and Olney, A. (eds.) Proceedings of the 6th International Conference on Educational Data Mining (EDM). p. 334-335. (2013).
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  • [25]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2612736
    Mokbel, B., Lueks, W., Gisbrecht, A., Hammer, B.: Visualizing the quality of dimensionality reduction. Neurocomputing. 112, 109-123 (2013).
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  • [24]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2670686
    Gross, S., Mokbel, B., Hammer, B., Pinkwart, N.: Towards a Domain-Independent ITS Middleware Architecture. 2013 IEEE 13th International Conference on Advanced Learning Technologies. p. 408-409. IEEE (2013).
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  • [23]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625207
    Gross, S., Mokbel, B., Hammer, B., Pinkwart, N.: Towards Providing Feedback to Students in Absence of Formalized Domain Models. AIED. p. 644-648. (2013).
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  • [22]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982108
    Gisbrecht, A., Mokbel, B., Hammer, B.: Linear basis-function t-SNE for fast nonlinear dimensionality reduction. The 2012 International Joint Conference on Neural Networks (IJCNN). p. 1-8. IEEE (2012).
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  • [21]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232
    Gisbrecht, A., Mokbel, B., Schleif, F.-M., Zhu, X., Hammer, B.: Linear Time Relational Prototype Based Learning. International Journal of Neural Systems. 22, : 1250021 (2012).
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [20]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625260
    Gisbrecht, A., Lueks, W., Mokbel, B., Hammer, B.: Out-of-sample kernel extensions for nonparametric dimensionality reduction. ESANN 2012. p. 531-536. (2012).
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  • [19]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536426 OA
    Mokbel, B., Gross, S., Lux, M., Pinkwart, N., Hammer, B.: How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning? In: Mana, N., Schwenker, F., and Trentin, E. (eds.) Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings. Lecture Notes in Artificial Intelligence. 7477, p. 1-13. Springer Berlin Heidelberg (2012).
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  • [18]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625276
    Gisbrecht, A., Mokbel, B., Hammer, B.: Linear Basis-Function t-SNE for Fast Nonlinear Dimensionality Reduction. IJCNN. (2012).
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  • [17]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625242
    Gross, S., Mokbel, B., Hammer, B., Pinkwart, N.: Feedback Provision Strategies in Intelligent Tutoring Systems Based on Clustered Solution Spaces. DeLFI. p. 27-38. (2012).
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  • [16]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536444 OA
    Gross, S., Mokbel, B., Hammer, B., Pinkwart, N.: Feedback Provision Strategies in Intelligent Tutoring Systems Based on Clustered Solution Spaces. In: Desel, J., Haake, J.M., Spannagel, C., and Gesellschaft für Informatik (eds.) DeLFI 2012: Die 10. e-Learning Fachtagung Informatik. GI-Edition : Proceedings. 207, p. 27-38. Köllen, Hagen, Germany (2012).
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  • [15]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534877
    Schleif, F.-M., Mokbel, B., Gisbrecht, A., Theunissen, L., Dürr, V., Hammer, B.: Learning Relevant Time Points for Time-Series Data in the Life Sciences. ICANN (2). Lecture Notes in Computer Science. 7553, p. 531-539. Springer Berlin Heidelberg, Berlin, Heidelberg (2012).
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  • [14]
    2012 | Konferenzbeitrag | PUB-ID: 2909356
    Mokbel, B., Lueks, W., Gisbrecht, A., Biehl, M., Hammer, B.: Visualizing the quality of dimensionality reduction. In: Verleysen, M. (ed.) ESANN 2012. p. 179--184. (2012).
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  • [13]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534868
    Hammer, B., Mokbel, B., Schleif, F.-M., Zhu, X.: White Box Classification of Dissimilarity Data. HAIS (1). p. 309-321. Springer Berlin Heidelberg, Berlin, Heidelberg (2012).
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  • [12]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982113
    Hammer, B., Gisbrecht, A., Hasenfuss, A., Mokbel, B., Schleif, F.-M., Zhu, X.: Topographic Mapping of Dissimilarity Data. In: Laaksonen, J. and Honkela, T. (eds.) Advances in Self-Organizing Maps. Lecture Notes in Computer Science. p. 1-15. Springer Berlin Heidelberg, Berlin, Heidelberg (2011).
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  • [11]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982111
    Hammer, B., Mokbel, B., Schleif, F.-M., Zhu, X.: Prototype-Based Classification of Dissimilarity Data. In: Gama, J., Bradley, E., and Hollmén, J. (eds.) Advances in Intelligent Data Analysis X. Lecture Notes in Computer Science. p. 185-197. Springer Berlin Heidelberg, Berlin, Heidelberg (2011).
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  • [10]
    2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982109
    Hammer, B., Biehl, M., Bunte, K., Mokbel, B.: A General Framework for Dimensionality Reduction for Large Data Sets. In: Laaksonen, J. and Honkela, T. (eds.) Advances in Self-Organizing Maps. Lecture Notes in Computer Science. p. 277-287. Springer Berlin Heidelberg, Berlin, Heidelberg (2011).
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  • [9]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485
    Hammer, B., Gisbrecht, A., Hasenfuss, A., Mokbel, B., Schleif, F.-M., Zhu, X.: Topographic Mapping of Dissimilarity Data. WSOM'11. (2011).
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  • [8]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276512
    Hammer, B., Biehl, M., Bunte, K., Mokbel, B.: A general framework for dimensionality reduction for large data sets. WSOM'11. (2011).
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  • [7]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2276531
    Gisbrecht, A., Mokbel, B., Hammer, B.: Relational Generative Topographic Mapping. Neurocomputing. 74, 1359-1371 (2011).
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  • [6]
    2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982117
    Gisbrecht, A., Mokbel, B., Hasenfuss, A., Hammer, B.: Visualizing Dissimilarity Data Using Generative Topographic Mapping. In: Dillmann, R., Beyerer, J., Hanebeck, U.D., and Schultz, T. (eds.) KI 2010: Advances in Artificial Intelligence. Lecture Notes in Computer Science. p. 227-237. Springer Berlin Heidelberg, Berlin, Heidelberg (2010).
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  • [5]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276543
    Gisbrecht, A., Mokbel, B., Hammer, B.: The Nystrom approximation for relational generative topographic mappings. NIPS workshop on challenges of Data Visualization. (2010).
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  • [4]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276547
    Mokbel, B., Gisbrecht, A., Hammer, B.: On the effect of clustering on quality assessment measures for dimensionality reduction. NIPS workshop on Challenges of Data Visualization. (2010).
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  • [3]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993452
    Gisbrecht, A., Mokbel, B., Hammer, B.: Relational Generative Topographic Map. In: Verleysen, M. (ed.) ESANN'10. p. 277-282. D side, Evere (2010).
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  • [2]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993457
    Gisbrecht, A., Mokbel, B., Hasenfuss, A., Hammer, B.: Visualizing Dissimilarity Data using generative topographic mapping. In: Dillmann, R., Beyerer, J., Hanebeck, U.D., and Schulz, T. (eds.) KI'2010. p. 227-237. (2010).
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  • [1]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993835
    Mokbel, B., Hasenfuss, A., Hammer, B.: Graph-based Representation of Symbolic Musical Data. In: Torsello, A., Escolano, F., Brun, L., and International Association for Pattern Recognition. Technical Committee on Graph Based Representations (eds.) Graph-Based Representation in Pattern Recognition (GbRPR 2009). Lecture Notes in Computer Science, 5534. Lecture notes in computer science. 5534, p. 42-51. Springer, Berlin (2009).
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