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2010 – 2019
- 2016
[b1]Bassam Mokbel:
Dissimilarity-based learning for complex data. Bielefeld University, 2016- [j9]Benjamin Paaßen
, Bassam Mokbel, Barbara Hammer:
Adaptive structure metrics for automated feedback provision in intelligent tutoring systems. Neurocomputing 192: 3-13 (2016) - 2015
- [j8]Bassam Mokbel, Benjamin Paaßen, Frank-Michael Schleif, Barbara Hammer:
Metric learning for sequences in relational LVQ. Neurocomputing 169: 306-322 (2015) - [j7]Oliver Walter, Reinhold Haeb-Umbach, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer:
Autonomous Learning of Representations. Künstliche Intell. 29(4): 339-351 (2015) - [j6]Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart:
Learning Feedback in Intelligent Tutoring Systems - Report of the FIT Project, Conducted from December 2011 to March 2015. Künstliche Intell. 29(4): 413-418 (2015) - [c23]Benjamin Paaßen, Bassam Mokbel, Barbara Hammer:
A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems. EDM 2015: 632 - [c22]Benjamin Paassen, Bassam Mokbel, Barbara Hammer:
Adaptive structure metrics for automated feedback provision in Java programming. ESANN 2015 - [c21]Alexander Schulz, Bassam Mokbel, Michael Biehl, Barbara Hammer:
Inferring Feature Relevances From Metric Learning. SSCI 2015: 1599-1606 - 2014
- [j5]Sebastian Gross, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer, Niels Pinkwart:
Example-based feedback provision using structured solution spaces. Int. J. Learn. Technol. 9(3): 248-280 (2014) - [c20]Bassam Mokbel, Benjamin Paaßen, Barbara Hammer:
Adaptive distance measures for sequential data. ESANN 2014 - [c19]Bassam Mokbel, Benjamin Paaßen, Barbara Hammer:
Efficient Adaptation of Structure Metrics in Prototype-Based Classification. ICANN 2014: 571-578 - [c18]Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart:
How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning. Intelligent Tutoring Systems 2014: 340-347 - 2013
- [j4]Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Barbara Hammer:
Visualizing the quality of dimensionality reduction. Neurocomputing 112: 109-123 (2013) - [c17]Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart:
Towards Providing Feedback to Students in Absence of Formalized Domain Models. AIED 2013: 644-648 - [c16]Bassam Mokbel, Sebastian Gross, Benjamin Paaßen, Niels Pinkwart, Barbara Hammer:
Domain-Independent Proximity Measures in Intelligent Tutoring Systems. EDM 2013: 334-335 - [c15]Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart:
Towards a Domain-Independent ITS Middleware Architecture. ICALT 2013: 408-409 - [c14]Andrej Gisbrecht, Barbara Hammer, Bassam Mokbel, Alexander Sczyrba:
Nonlinear Dimensionality Reduction for Cluster Identification in Metagenomic Samples. IV 2013: 174-179 - 2012
- [j3]Andrej Gisbrecht, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer:
Linear Time Relational Prototype Based Learning. Int. J. Neural Syst. 22(5) (2012) - [j2]Bassam Mokbel:
Interview with Helge Ritter. Künstliche Intell. 26(4): 411-413 (2012) - [c13]Bassam Mokbel, Sebastian Gross, Markus Lux, Niels Pinkwart, Barbara Hammer:
How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning? ANNPR 2012: 1-13 - [c12]Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart:
Feedback Provision Strategies in Intelligent Tutoring Systems Based on Clustered Solution Spaces. DeLFI 2012: 27-38 - [c11]Andrej Gisbrecht, Wouter Lueks, Bassam Mokbel, Barbara Hammer:
Out-of-sample kernel extensions for nonparametric dimensionality reduction. ESANN 2012 - [c10]Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Michael Biehl, Barbara Hammer:
Visualizing the quality of dimensionality reduction. ESANN 2012 - [c9]Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu:
White Box Classification of Dissimilarity Data. HAIS (1) 2012: 309-321 - [c8]Frank-Michael Schleif, Bassam Mokbel, Andrej Gisbrecht, Leslie Theunissen, Volker Dürr, Barbara Hammer:
Learning Relevant Time Points for Time-Series Data in the Life Sciences. ICANN (2) 2012: 531-539 - [c7]Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer:
Linear basis-function t-SNE for fast nonlinear dimensionality reduction. IJCNN 2012: 1-8 - 2011
- [j1]Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer:
Relational generative topographic mapping. Neurocomputing 74(9): 1359-1371 (2011) - [c6]Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu:
Prototype-Based Classification of Dissimilarity Data. IDA 2011: 185-197 - [c5]Barbara Hammer, Andrej Gisbrecht, Alexander Hasenfuss, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu:
Topographic Mapping of Dissimilarity Data. WSOM 2011: 1-15 - [c4]Barbara Hammer, Michael Biehl, Kerstin Bunte, Bassam Mokbel:
A General Framework for Dimensionality Reduction for Large Data Sets. WSOM 2011: 277-287 - [i1]Wouter Lueks, Bassam Mokbel, Michael Biehl, Barbara Hammer:
How to Evaluate Dimensionality Reduction? - Improving the Co-ranking Matrix. CoRR abs/1110.3917 (2011) - 2010
- [c3]Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer:
Relational Generative Topographic Map. ESANN 2010 - [c2]Andrej Gisbrecht, Bassam Mokbel, Alexander Hasenfuss, Barbara Hammer:
Visualizing Dissimilarity Data Using Generative Topographic Mapping. KI 2010: 227-237
2000 – 2009
- 2009
- [c1]Bassam Mokbel, Alexander Hasenfuss, Barbara Hammer:
Graph-Based Representation of Symbolic Musical Data. GbRPR 2009: 42-51
Coauthor Index
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