Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Benjamin Paaßen"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Collecting large datasets for investigations into human locomotion is an expensive and labor-intensive process. Methods for 3D human pose estimation in the wild are becoming increasingly accurate and could soon be sufficient to assist with t
Externí odkaz:
https://doaj.org/article/d6f10287ee6e436eaf78a382e7e548b9
Autor:
Benjamin Paaßen, Julian Dehne, Swathi Krishnaraja, Anastasia Kovalkov, Kobi Gal, Niels Pinkwart
Publikováno v:
Frontiers in Education, Vol 7 (2022)
Teaching creativity is one of the key goals of modern education. Yet, promoting creativity in teaching remains challenging, not least because creative achievement is contingent on multiple factors, such as prior knowledge, the classroom environment,
Externí odkaz:
https://doaj.org/article/95f124833dab4abcafebc71641def3d5
Memory-augmented neural networks equip a recurrent neural network with an explicit memory to support tasks that require information storage without interference over long times. A key motivation for such research is to perform classic computation tas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f628487fadb42568a3fc7360e4c2f703
Differentiable neural computers extend artificial neural networks with an explicit memory without interference, thus enabling the model to perform classic computation tasks such as graph traversal. However, such models are difficult to train, requiri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7d093239c8ba8b9c4288dcdb2c1d550
https://doi.org/10.1109/tnnls.2021.3094139
https://doi.org/10.1109/tnnls.2021.3094139
Publikováno v:
Cyberpsychology, behavior and social networking. 23(8)
Video gaming is seen as a male space. Female gamers are seen as atypical, have their competence challenged, and face more harassment than male gamers do. This precarious position is increasingly problematic as video gaming is now one of the most prev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07e2473ff0d4ee42d30d8ea309c2e5e5
https://pubmed.ncbi.nlm.nih.gov/32486915
https://pubmed.ncbi.nlm.nih.gov/32486915
Machine learning on trees has been mostly focused on trees as input to algorithms. Much less research has investigated trees as output, which has many applications, such as molecule optimization for drug discovery, or hint generation for intelligent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::581dea5924135576797390ec016ad165
Publikováno v:
Neural Processing Letters. 48:669-689
Graph models are relevant in many fields, such as distributed computing, intelligent tutoring systems or social network analysis. In many cases, such models need to take changes in the graph structure into account, i.e. a varying number of nodes or e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96bba698e808af4248c27334aaa9a96a
https://doi.org/10.1007/s11063-017-9684-5
https://doi.org/10.1007/s11063-017-9684-5
Autor:
Veronica Cateté, Rui Zhi, Yihuan Dong, Nicholas Lytle, Thomas W. Price, Tiffany Barnes, Benjamin Paaßen
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 make progress. While these hints have the potential to improve lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d14822ddf1d160183b133765a16751f4
https://doi.org/10.1007/s40593-019-00177-z
https://doi.org/10.1007/s40593-019-00177-z
Publikováno v:
KI - Künstliche Intelligenz. 29:339-351
Besides the core learning algorithm itself, one major question in machine learning is how to best encode given training data such that the learning technology can efficiently learn based thereon and generalize to novel data. While classical approache
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5fa576290e8c33a5972eba555512c08
https://doi.org/10.1007/s13218-015-0372-1
https://doi.org/10.1007/s13218-015-0372-1