Bassam Mokbel - RankMe

34 papers A 1B 11C 2Misc 1Journal 10Unranked 8

Year	Rank	Type	Title / Venue / Authors
2016	J	`jnl`	Adaptive structure metrics for automated feedback provision in intelligent tutoring systems. Neurocomputing Benjamin Paaßen, Bassam Mokbel, Barbara Hammer
2016	—	`—`	Dissimilarity-based learning for complex data. Bassam Mokbel
2015	B	`conf`	A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems. EDM Benjamin Paaßen, Bassam Mokbel, Barbara Hammer
2015	B	`conf`	Adaptive structure metrics for automated feedback provision in Java programming. ESANN Benjamin Paassen, Bassam Mokbel, Barbara Hammer
2015	J	`jnl`	Autonomous Learning of Representations. Künstliche Intell. Oliver Walter, Reinhold Haeb-Umbach, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer
2015	—	`conf`	Inferring Feature Relevances From Metric Learning. SSCI Alexander Schulz, Bassam Mokbel, Michael Biehl, Barbara Hammer
2015	J	`jnl`	Learning Feedback in Intelligent Tutoring Systems - Report of the FIT Project, Conducted from December 2011 to March 2015. Künstliche Intell. Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart
2015	J	`jnl`	Metric learning for sequences in relational LVQ. Neurocomputing Bassam Mokbel, Benjamin Paaßen, Frank-Michael Schleif, Barbara Hammer
2014	B	`conf`	Adaptive distance measures for sequential data. ESANN Bassam Mokbel, Benjamin Paaßen, Barbara Hammer
2014	C	`conf`	Efficient Adaptation of Structure Metrics in Prototype-Based Classification. ICANN Bassam Mokbel, Benjamin Paaßen, Barbara Hammer
2014	J	`jnl`	Example-based feedback provision using structured solution spaces. Int. J. Learn. Technol. Sebastian Gross, Bassam Mokbel, Benjamin Paaßen, Barbara Hammer, Niels Pinkwart
2014	B	`conf`	How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning. Intelligent Tutoring Systems Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart
2013	B	`conf`	Domain-Independent Proximity Measures in Intelligent Tutoring Systems. EDM Bassam Mokbel, Sebastian Gross, Benjamin Paaßen, Niels Pinkwart, Barbara Hammer
2013	C	`conf`	Nonlinear Dimensionality Reduction for Cluster Identification in Metagenomic Samples. IV Andrej Gisbrecht, Barbara Hammer, Bassam Mokbel, Alexander Sczyrba
2013	A	`conf`	Towards Providing Feedback to Students in Absence of Formalized Domain Models. AIED Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart
2013	B	`conf`	Towards a Domain-Independent ITS Middleware Architecture. ICALT Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart
2013	J	`jnl`	Visualizing the quality of dimensionality reduction. Neurocomputing Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Barbara Hammer
2012	—	`conf`	Feedback Provision Strategies in Intelligent Tutoring Systems Based on Clustered Solution Spaces. DeLFI Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart
2012	—	`conf`	How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning? ANNPR Bassam Mokbel, Sebastian Gross, Markus Lux, Niels Pinkwart, Barbara Hammer
2012	J	`jnl`	Interview with Helge Ritter. Künstliche Intell. Bassam Mokbel
2012	—	`conf`	Learning Relevant Time Points for Time-Series Data in the Life Sciences. ICANN (2) Frank-Michael Schleif, Bassam Mokbel, Andrej Gisbrecht, Leslie Theunissen, Volker Dürr, Barbara Hammer
2012	J	`jnl`	Linear Time Relational Prototype Based Learning. Int. J. Neural Syst. Andrej Gisbrecht, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
2012	B	`conf`	Linear basis-function t-SNE for fast nonlinear dimensionality reduction. IJCNN Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
2012	B	`conf`	Out-of-sample kernel extensions for nonparametric dimensionality reduction. ESANN Andrej Gisbrecht, Wouter Lueks, Bassam Mokbel, Barbara Hammer
2012	B	`conf`	Visualizing the quality of dimensionality reduction. ESANN Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Michael Biehl, Barbara Hammer
2012	—	`conf`	White Box Classification of Dissimilarity Data. HAIS (1) Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu
2011	—	`conf`	A General Framework for Dimensionality Reduction for Large Data Sets. WSOM Barbara Hammer, Michael Biehl, Kerstin Bunte, Bassam Mokbel
2011	J	`jnl`	How to Evaluate Dimensionality Reduction? - Improving the Co-ranking Matrix CoRR Wouter Lueks, Bassam Mokbel, Michael Biehl, Barbara Hammer
2011	B	`conf`	Prototype-Based Classification of Dissimilarity Data. IDA Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu
2011	J	`jnl`	Relational generative topographic mapping. Neurocomputing Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
2011	—	`conf`	Topographic Mapping of Dissimilarity Data. WSOM Barbara Hammer, Andrej Gisbrecht, Alexander Hasenfuss, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu
2010	B	`conf`	Relational Generative Topographic Map. ESANN Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
2010	Misc	`conf`	Visualizing Dissimilarity Data Using Generative Topographic Mapping. KI Andrej Gisbrecht, Bassam Mokbel, Alexander Hasenfuss, Barbara Hammer
2009	—	`conf`	Graph-Based Representation of Symbolic Musical Data. GbRPR Bassam Mokbel, Alexander Hasenfuss, Barbara Hammer