مقالات بحثية تمّ التفويض بإتاحتها للجميع - Benjamin Paassenمزيد من المعلومات
عدد المقالات البحثية غير المتاحة للجميع في أي موقع: 2
Interpretable Knowledge Gain Prediction for Vocational Preparatory E-Learnings
B Paaßen, M Dywel, M Fleckenstein, N Pinkwart
International Conference on Artificial Intelligence in Education, 132-137, 2022
التفويضات: Federal Ministry of Education and Research, Germany
Linear supervised transfer learning for the large margin nearest neighbor classifier
K Berger, A Schulz, B Paassen, B Hammer
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2017
التفويضات: German Research Foundation
عدد المقالات البحثية المتاحة للجميع في موقع ما: 41
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
التفويضات: German Research Foundation
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, 368-395, 2019
التفويضات: US National Science Foundation
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 …, 2016
التفويضات: German Research Foundation
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
التفويضات: German Research Foundation
Expectation maximization transfer learning and its application for bionic hand prostheses
B Paaßen, A Schulz, J Hahne, B Hammer
Neurocomputing 298, 122-133, 2018
التفويضات: German Research Foundation, European Commission
Metric learning for sequences in relational LVQ
B Mokbel, B Paassen, FM Schleif, B Hammer
Neurocomputing 169, 306-322, 2015
التفويضات: German Research Foundation, European Commission
Domain-independent proximity measures in intelligent tutoring systems
B Mokbel, S Gross, B Paassen, N Pinkwart, B Hammer
Educational Data Mining 2013, 2013
التفويضات: German Research Foundation
Adaptive structure metrics for automated feedback provision in intelligent tutoring systems
B Paassen, B Mokbel, B Hammer
Neurocomputing 192, 3-13, 2016
التفويضات: German Research Foundation
Tree edit distance learning via adaptive symbol embeddings
B Paaßen, C Gallicchio, A Micheli, B Hammer
International Conference on Machine Learning, 3976-3985, 2018
التفويضات: German Research Foundation
Learning interpretable kernelized prototype-based models
D Hofmann, FM Schleif, B Paaßen, B Hammer
Neurocomputing 141, 84-96, 2014
التفويضات: German Research Foundation
Time series prediction for graphs in kernel and dissimilarity spaces
B Paaßen, C Göpfert, B Hammer
Neural Processing Letters 48 (2), 669-689, 2018
التفويضات: German Research Foundation
Graph edit networks
B Paassen, D Grattarola, D Zambon, C Alippi, BE Hammer
International Conference on Learning Representations, 2020
التفويضات: Swiss National Science Foundation, German Research Foundation
Automatic creativity measurement in scratch programs across modalities
A Kovalkov, B Paaßen, A Segal, N Pinkwart, K Gal
IEEE Transactions on Learning Technologies 14 (6), 740-753, 2021
التفويضات: German Research Foundation
Mapping python programs to vectors using recursive neural encodings
B Paassen, J McBroom, B Jeffries, I Koprinska, K Yacef
Journal of Educational Data Mining 13 (3), 1-35, 2021
التفويضات: German Research Foundation
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
التفويضات: German Research Foundation
Gaussian process prediction for time series of structured data.
B Paassen, C Göpfert, B Hammer
ESANN, 2016
التفويضات: German Research Foundation
A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems.
B Paaßen, B Mokbel, B Hammer
EDM, 632, 2015
التفويضات: German Research Foundation
Recursive tree grammar autoencoders
B Paaßen, I Koprinska, K Yacef
Machine Learning 111 (9), 3393-3423, 2022
التفويضات: German Research Foundation
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