Bassam Mokbel

According to our database, Bassam Mokbel authored at least 34 papers between 2009 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

Dissimilarity-based learning for complex data.

Bassam Mokbel

PhD thesis, 2016

Adaptive structure metrics for automated feedback provision in intelligent tutoring systems.

Benjamin Paaßen, Bassam Mokbel, Barbara Hammer

Neurocomputing, 2016

2015

Autonomous Learning of Representations.

Oliver Walter, Reinhold Haeb-Umbach, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer

Künstliche Intell., 2015

Learning Feedback in Intelligent Tutoring Systems - Report of the FIT Project, Conducted from December 2011 to March 2015.

Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart

Künstliche Intell., 2015

Metric learning for sequences in relational LVQ.

Bassam Mokbel, Benjamin Paaßen, Frank-Michael Schleif, Barbara Hammer

Neurocomputing, 2015

Inferring Feature Relevances From Metric Learning.

Alexander Schulz, Bassam Mokbel, Michael Biehl, Barbara Hammer

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Adaptive structure metrics for automated feedback provision in Java programming.

Benjamin Paassen, Bassam Mokbel, Barbara Hammer

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems.

Benjamin Paaßen, Bassam Mokbel, Barbara Hammer

Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014

Example-based feedback provision using structured solution spaces.

Sebastian Gross, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer, Niels Pinkwart

Int. J. Learn. Technol., 2014

How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning.

Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart

Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

Efficient Adaptation of Structure Metrics in Prototype-Based Classification.

Bassam Mokbel, Benjamin Paaßen, Barbara Hammer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Adaptive distance measures for sequential data.

Bassam Mokbel, Benjamin Paaßen, Barbara Hammer

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Visualizing the quality of dimensionality reduction.

Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Barbara Hammer

Neurocomputing, 2013

Nonlinear Dimensionality Reduction for Cluster Identification in Metagenomic Samples.

Andrej Gisbrecht, Barbara Hammer, Bassam Mokbel, Alexander Sczyrba

Proceedings of the 17th International Conference on Information Visualisation, 2013

Towards a Domain-Independent ITS Middleware Architecture.

Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart

Proceedings of the IEEE 13th International Conference on Advanced Learning Technologies, 2013

Domain-Independent Proximity Measures in Intelligent Tutoring Systems.

Bassam Mokbel, Sebastian Gross, Benjamin Paaßen, Niels Pinkwart, Barbara Hammer

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Towards Providing Feedback to Students in Absence of Formalized Domain Models.

Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012

Interview with Helge Ritter.

Bassam Mokbel

Künstliche Intell., 2012

Linear Time Relational Prototype Based Learning.

Andrej Gisbrecht, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer

Int. J. Neural Syst., 2012

Linear basis-function t-SNE for fast nonlinear dimensionality reduction.

Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Learning Relevant Time Points for Time-Series Data in the Life Sciences.

Frank-Michael Schleif, Bassam Mokbel, Andrej Gisbrecht, Leslie Theunissen, Volker Dürr, Barbara Hammer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

White Box Classification of Dissimilarity Data.

Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu

Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Visualizing the quality of dimensionality reduction.

Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Michael Biehl, Barbara Hammer

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Out-of-sample kernel extensions for nonparametric dimensionality reduction.

Andrej Gisbrecht, Wouter Lueks, Bassam Mokbel, Barbara Hammer

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Feedback Provision Strategies in Intelligent Tutoring Systems Based on Clustered Solution Spaces.

Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart

Proceedings of the DeLFI 2012, 2012

How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?

Bassam Mokbel, Sebastian Gross, Markus Lux, Niels Pinkwart, Barbara Hammer

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2012

2011

Relational generative topographic mapping.

Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer

Neurocomputing, 2011

How to Evaluate Dimensionality Reduction? - Improving the Co-ranking Matrix

Wouter Lueks, Bassam Mokbel, Michael Biehl, Barbara Hammer

CoRR, 2011

Topographic Mapping of Dissimilarity Data.

Barbara Hammer, Andrej Gisbrecht, Alexander Hasenfuss, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu

Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

A General Framework for Dimensionality Reduction for Large Data Sets.

Barbara Hammer, Michael Biehl, Kerstin Bunte, Bassam Mokbel

Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

Prototype-Based Classification of Dissimilarity Data.

Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu

Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

2010

Visualizing Dissimilarity Data Using Generative Topographic Mapping.

Andrej Gisbrecht, Bassam Mokbel, Alexander Hasenfuss, Barbara Hammer

Proceedings of the KI 2010: Advances in Artificial Intelligence, 2010

Relational Generative Topographic Map.

Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

Graph-Based Representation of Symbolic Musical Data.

Bassam Mokbel, Alexander Hasenfuss, Barbara Hammer

Proceedings of the Graph-Based Representations in Pattern Recognition, 2009