41 Publikationen
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752948Gross, 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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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710031Mokbel, 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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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2724156Paaßen, 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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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2762087Paaßen, 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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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2752955Walter, 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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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2783369Mokbel, 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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2014 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982100Gross, 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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2014 | Konferenzbeitrag | PUB-ID: 2909360Gross, 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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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2673554Mokbel, 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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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2734058Gross, 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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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2710067Mokbel, 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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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2623500Gisbrecht, 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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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625185Mokbel, 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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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2670686Gross, 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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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625207Gross, S., Mokbel, B., Hammer, B., & Pinkwart, N. (2013). Towards Providing Feedback to Students in Absence of Formalized Domain Models. AIED, 644-648
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982108Gisbrecht, 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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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2625232Gisbrecht, 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
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625260Gisbrecht, 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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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536426Mokbel, 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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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625276Gisbrecht, A., Mokbel, B., & Hammer, B. (2012). Linear Basis-Function t-SNE for Fast Nonlinear Dimensionality Reduction. IJCNN
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2625242Gross, 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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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2536444Gross, 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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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2534877Schleif, 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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2012 | Konferenzbeitrag | PUB-ID: 2909356Mokbel, 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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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982113Hammer, 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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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982111Hammer, 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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2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982109Hammer, 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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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276485Hammer, B., Gisbrecht, A., Hasenfuss, A., Mokbel, B., Schleif, F. - M., & Zhu, X. (2011). Topographic Mapping of Dissimilarity Data. WSOM'11
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276512Hammer, B., Biehl, M., Bunte, K., & Mokbel, B. (2011). A general framework for dimensionality reduction for large data sets. WSOM'11
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2276531Gisbrecht, 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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2010 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982117Gisbrecht, 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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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276543Gisbrecht, 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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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2276547Mokbel, 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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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993452Gisbrecht, 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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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993457Gisbrecht, 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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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1993835Mokbel, 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