User profiles for B. Paassen
Benjamin PaassenBielefeld University Verified email at techfak.uni-bielefeld.de Cited by 1206 |
[HTML][HTML] A comparison of the quality of data-driven programming hint generation algorithms
In the domain of programming, a growing number of algorithms automatically generate data-driven,
next-step hints that suggest how students should edit their code to resolve errors and …
next-step hints that suggest how students should edit their code to resolve errors and …
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, 2017 - Springer
Women and men play video games in approximately equal numbers. Despite this similarity,
video gaming is still strongly associated with men. A common justification for this stereotype …
video gaming is still strongly associated with men. A common justification for this stereotype …
Revisiting the tree edit distance and its backtracing: A tutorial
B Paaßen - arXiv preprint arXiv:1805.06869, 2018 - arxiv.org
… forest with a b. If we apply this edit to the example tree a(b, a), we obtain repb(a(b, a)) = b(b,
a). … script δ := del, repa, insa,1,3, which yields the following result for the example tree a(b, a). …
a). … script δ := del, repa, insa,1,3, which yields the following result for the example tree a(b, a). …
The continuous hint factory-providing hints in vast and sparsely populated edit distance spaces
… but further away from x1 = a and x2 = b. The cheapest edit sequence between x and y1 is …
y2 is rep1,b,ins3,c. Therefore, we need to consider the edits rep2,a, ins3,c, and rep1,b. The …
y2 is rep1,b,ins3,c. Therefore, we need to consider the edits rep2,a, ins3,c, and rep1,b. The …
Counteracting electrode shifts in upper-limb prosthesis control via transfer learning
… Beans test (Section II-B.1) and we evaluated the users’ attitudes toward the system by a
questionnaire (Section II-B.2). Finally, we present the study design in more detail (Section II-B.3). …
questionnaire (Section II-B.2). Finally, we present the study design in more detail (Section II-B.3). …
Transfer learning for rapid re-calibration of a myoelectric prosthesis after electrode shift
For decades, researchers have attempted to provide patients with an intuitive method to
control upper limb prostheses, enabling them to manipulate multiple degrees of freedom …
control upper limb prostheses, enabling them to manipulate multiple degrees of freedom …
Example-based feedback provision using structured solution spaces
… Therefore, we can address each of the eight algorithmic approaches by a 3-bit code, which
we will refer to in the following by a code of three letters A or B referring to the above order, eg…
we will refer to in the following by a code of three letters A or B referring to the above order, eg…
Mapping python programs to vectors using recursive neural encodings
… as unique stable attractor if W has sufficiently small eigenvalues (refer to Theorem 1 in
Appendix B for details). This is desirable because it guarantees that the default behavior of our …
Appendix B for details). This is desirable because it guarantees that the default behavior of our …
Expectation maximization transfer learning and its application for bionic hand prostheses
Abstract Machine learning models in practical settings are typically confronted with changes
to the distribution of the incoming data. Such changes can severely affect the model …
to the distribution of the incoming data. Such changes can severely affect the model …
[HTML][HTML] Extracting spatial knowledge from track and field broadcasts for monocular 3D human pose estimation
T Baumgartner, B Paassen, S Klatt - Scientific Reports, 2023 - nature.com
… During capture, the actual skeleton (a) is projected into the TV broadcast footage (b),
removing 3D information about the world (e). Using a 2D skeleton (c) to estimate a 3D pose (d) …
removing 3D information about the world (e). Using a 2D skeleton (c) to estimate a 3D pose (d) …