Benjamin Paassen
What is a true gamer? The male gamer stereotype and the marginalization of women in video game culture
B Paaßen, T Morgenroth, M Stratemeyer
Sex Roles 76 (7), 421-435, 2017
The continuous hint factory-providing hints in vast and sparsely populated edit distance spaces
B Paaßen, B Hammer, TW Price, T Barnes, S Gross, N Pinkwart
arXiv preprint arXiv:1708.06564, 2017
Transfer learning for rapid re-calibration of a myoelectric prosthesis after electrode shift
C Prahm, B Paassen, A Schulz, B Hammer, O Aszmann
Converging clinical and engineering research on neurorehabilitation II, 153-157, 2017
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
Domain-independent proximity measures in intelligent tutoring systems
B Mokbel, S Gross, B Paassen, N Pinkwart, B Hammer
Educational Data Mining 2013, 2013
Metric learning for sequences in relational LVQ
B Mokbel, B Paassen, FM Schleif, B Hammer
Neurocomputing 169, 306-322, 2015
Counteracting electrode shifts in upper-limb prosthesis control via transfer learning
C Prahm, A Schulz, B Paaßen, J Schoisswohl, E Kaniusas, G Dorffner, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (5 …, 2019
Expectation maximization transfer learning and its application for bionic hand prostheses
B Paaßen, A Schulz, J Hahne, B Hammer
Neurocomputing 298, 122-133, 2018
Learning interpretable kernelized prototype-based models
D Hofmann, FM Schleif, B Paaßen, B Hammer
Neurocomputing 141, 84-96, 2014
A comparison of the quality of data-driven programming hint generation algorithms
TW Price, Y Dong, R Zhi, B Paaßen, N Lytle, V Cateté, T Barnes
International Journal of Artificial Intelligence in Education 29 (3), 368-395, 2019
Adaptive structure metrics for automated feedback provision in intelligent tutoring systems
B Paassen, B Mokbel, B Hammer
Neurocomputing 192, 3-13, 2016
Tree edit distance learning via adaptive symbol embeddings
B Paaßen, C Gallicchio, A Micheli, B Hammer
International Conference on Machine Learning, 3976-3985, 2018
Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming.
B Paaßen, J Jensen, B Hammer
International Educational Data Mining Society, 2016
Time series prediction for graphs in kernel and dissimilarity spaces
B Paaßen, C Göpfert, B Hammer
Neural Processing Letters 48 (2), 669-689, 2018
Revisiting the tree edit distance and its backtracing: A tutorial
B Paaßen
arXiv preprint arXiv:1805.06869, 2018
Linear supervised transfer learning for generalized matrix lvq
B Paaßen, A Schulz, B Hammer
Proceedings of the Workshop New Challenges in Neural Computation 2016, 2016
Adaptive structure metrics for automated feedback provision in Java programming
B Paassen, B Mokbel, B Hammer
23rd European Symposium on Artificial Neural Networks, Computational …, 2015
Ontology-based extraction of structured information from publications on preclinical experiments for spinal cord injury treatments
B Paassen, A Stöckel, R Dickfelder, JP Göpfert, N Brazda, T Kirchhoffer, ...
Proceedings of the Third Workshop on Semantic Web and Information Extraction …, 2014
Adaptive distance measures for sequential data.
B Mokbel, B Paassen, B Hammer
ESANN, 265-270, 2014
Gaussian process prediction for time series of structured data
B Paassen, C Göpfert, B Hammer
Proceedings of the ESANN, 24th European Symposium on Artificial Neural …, 2016
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