| Visualizing the quality of dimensionality reduction B Mokbel, W Lueks, A Gisbrecht, B Hammer Neurocomputing 112, 109-123, 2013 | 98 | 2013 |
| Linear basis-function t-sne for fast nonlinear dimensionality reduction A Gisbrecht, B Mokbel, B Hammer Neural Networks (IJCNN), The 2012 International Joint Conference on, 1-8, 2012 | 53 | 2012 |
| Out-of-sample kernel extensions for nonparametric dimensionality reduction. A Gisbrecht, W Lueks, B Mokbel, B Hammer ESANN 2012, 531-536, 2012 | 50 | 2012 |
| Example-based feedback provision using structured solution spaces S Gross, B Mokbel, B Paassen, B Hammer, N Pinkwart International Journal of Learning Technology 10 9 (3), 248-280, 2014 | 47 | 2014 |
| Learning feedback in intelligent tutoring systems S Gross, B Mokbel, B Hammer, N Pinkwart KI-Künstliche Intelligenz 29 (4), 413-418, 2015 | 43 | 2015 |
| How to evaluate dimensionality reduction W Lueks, B Mokbel, M Biehl, B Hammer Proceedings of the workshop–new challenges in neural computation 5, 29-37, 2011 | 40* | 2011 |
| Metric learning for sequences in relational LVQ B Mokbel, B Paassen, FM Schleif, B Hammer Neurocomputing 169, 306-322, 2015 | 37 | 2015 |
| Nonlinear dimensionality reduction for cluster identification in metagenomic samples A Gisbrecht, B Hammer, B Mokbel, A Sczyrba 2013 17th International Conference on Information Visualisation, 174-179, 2013 | 37 | 2013 |
| Domain-independent proximity measures in intelligent tutoring systems B Mokbel, S Gross, B Paassen, N Pinkwart, B Hammer Educational Data Mining 2013, 2013 | 36 | 2013 |
| Relational generative topographic mapping A Gisbrecht, B Mokbel, B Hammer Neurocomputing 74 (9), 1359-1371, 2011 | 36* | 2011 |
| Adaptive structure metrics for automated feedback provision in intelligent tutoring systems B Paassen, B Mokbel, B Hammer Neurocomputing 192, 3-13, 2016 | 32 | 2016 |
| Graph-based representation of symbolic musical data B Mokbel, A Hasenfuss, B Hammer International Workshop on Graph-Based Representations in Pattern Recognition …, 2009 | 30 | 2009 |
| Relational generative topographic mapping A Gisbrecht, B Mokbel, B Hammer Neurocomputing 74 (9), 1359-1371, 2011 | 29 | 2011 |
| Linear time relational prototype based learning A Gisbrecht, B Mokbel, FM Schleif, X Zhu, B Hammer International journal of neural systems 22 (05), 1250021, 2012 | 28 | 2012 |
| How to Evaluate Dimensionality Reduction?-Improving the Co-ranking Matrix W Lueks, B Mokbel, M Biehl, B Hammer arXiv preprint arXiv:1110.3917, 2011 | 27 | 2011 |
| How to select an example? a comparison of selection strategies in example-based learning S Gross, B Mokbel, B Hammer, N Pinkwart International Conference on Intelligent Tutoring Systems, 340-347, 2014 | 22 | 2014 |
| Feedback provision strategies in intelligent tutoring systems based on clustered solution spaces S Gross, B Mokbel, B Hammer, N Pinkwart DeLFI 2012: Die 10. e-Learning Fachtagung Informatik der Gesellschaft für …, 2012 | 21 | 2012 |
| The Nystrom approximation for relational generative topographic mappings A Gisbrecht, B Mokbel, B Hammer NIPS workshop on challenges of Data Visualization, 2010 | 21 | 2010 |
| Prototype-based classification of dissimilarity data B Hammer, B Mokbel, FM Schleif, X Zhu International Symposium on Intelligent Data Analysis, 185-197, 2011 | 19 | 2011 |
| A toolbox for adaptive sequence dissimilarity measures for intelligent tutoring systems B Paassen, B Mokbel, B Hammer Proceedings of the 8th International Conference on Educational Data Mining …, 2015 | 13 | 2015 |