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2188 Publications
2019 | Book Chapter | LibreCat-ID: 48501
Balluff S, Bendfeld J, Krauter S. Meteorological Data Forecast using RNN. In: Deep Learning and Neural Networks. IGI Global; 2019. doi:10.4018/978-1-7998-0414-7.ch050
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 28992
Golombek C, Klingsieck KB, Scharlau I. Assessing Self-Efficacy for Self-Regulation of Academic Writing: Development and validation of a scale. European Journal of Psychological Assessment. 2019;35(5):751-761. doi:10.1027/1015-5759/a000452
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 48703
Zobe C, Krause D, Blischke K. Dissociative effects of normative feedback on motor automaticity and motor accuracy in learning an arm movement sequence. Human Movement Science. 2019;66:529-540. doi:10.1016/j.humov.2019.06.004
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 48702
Krause D, Koers T, Maurer LK. Valence‐dependent brain potentials of processing augmented feedback in learning a complex arm movement sequence. Psychophysiology. 2019;57(3). doi:10.1111/psyp.13508
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 23720
Gräßler I, Pottebaum J, Taplick P, Roesmann D, Preuß D. Unterstützung des Lernens für kritische Situationen: Potenzial von Augmented Reality für die Instandsetzung auf See. In: Lukas U, Bauer K, Dolereit T, eds. Go-3D 2019 “Mit 3D Richtung Maritim 4.0” - Tagungsband zur Konferenz Go-3D 2019. Fraunhofer Verlag; 2019:45-57.
LibreCat
2019 | Conference Paper | LibreCat-ID: 48858
Bossek J, Grimme C. Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems. In: Battiti R, Brunato M, Kotsireas I, Pardalos PM, eds. Learning and Intelligent Optimization. Lecture Notes in Computer Science. Springer International Publishing; 2019:184–198. doi:10.1007/978-3-030-05348-2_17
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48875
Bossek J, Trautmann H. Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In: Battiti R, Brunato M, Kotsireas I, Pardalos PM, eds. Learning and Intelligent Optimization. Lecture Notes in Computer Science. Springer International Publishing; 2019:215–219. doi:10.1007/978-3-030-05348-2_19
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 48877
Casalicchio G, Bossek J, Lang M, et al. OpenML: An R Package to Connect to the Machine Learning Platform OpenML. Computational Statistics. 2019;34(3):977–991. doi:10.1007/s00180-017-0742-2
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 45054
Knickenberg M, Marwin Felix L, Frank H. Potential influencing factors for teachers’ self-efficacy beliefs concerning inclusive education. In: ; 2019.
LibreCat
2019 | Conference Paper | LibreCat-ID: 45055
Knickenberg M, Chantal H. Applicability of ESM in School: Quality of students’ social interaction. In: ; 2019.
LibreCat
2019 | Journal Article | LibreCat-ID: 46156
Wessel L. Vocabulary in learning processes towards conceptual understanding of equivalent fractions—specifying students’ language demands on the basis of lexical trace analyses. Mathematics Education Research Journal. 2019;32(4):653-681. doi:10.1007/s13394-019-00284-z
LibreCat
| DOI
2019 | Book (Editor) | LibreCat-ID: 48376
Klinger M, Schüler-Meyer A, Wessel L, eds. Hanse-Kolloquium zur Hochschuldidaktik der Mathematik 2018. Vol 6. WTM-Verlag; 2019. doi:10.37626/ga9783959870986.0
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 53972
Santos-Arteaga FJ, Torrecillas C, Tavana M. Dynamic effects of learning on the innovative outputs and productivity in Spanish multinational enterprises. The Journal of Technology Transfer. 2019;44(1):97-131. doi:10.1007/s10961-017-9597-5
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 46337
Bossek J, Trautmann H. Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In: Battiti R, Brunato M, Kotsireas I, Pardalos P, eds. Learning and Intelligent Optimization. Vol 11353. Lecture Notes in Computer Science. Springer; 2019:215–219.
LibreCat
2018 | Conference Paper | LibreCat-ID: 2479 | 
Mohr F, Wever MD, Hüllermeier E, Faez A. (WIP) Towards the Automated Composition of Machine Learning Services. In: SCC. San Francisco, CA, USA: IEEE; 2018. doi:10.1109/SCC.2018.00039
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| DOI
| Download (ext.)
2018 | Conference Abstract | LibreCat-ID: 24928
Tolksdorf NF, Siebert S. Raising Robotic Natives? Ethical aspects of learning with robots in kindergarten. In: ; 2018.
LibreCat
2018 | Preprint | LibreCat-ID: 19524
Pfannschmidt K, Gupta P, Hüllermeier E. Deep Architectures for Learning Context-dependent Ranking Functions. arXiv:180305796. 2018.
LibreCat
2018 | Journal Article | LibreCat-ID: 20
Lass M, Kühne T, Plessl C. Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters. 2018;10(2):33-36. doi:10.1109/LES.2017.2760923
LibreCat
| DOI
| arXiv
2018 | Journal Article | LibreCat-ID: 27981
Weber K, Simon M, Strassburger K, et al. Habitual Fructose Intake Relates to Insulin Sensitivity and Fatty Liver Index in Recent-Onset Type 2 Diabetes Patients and Individuals without Diabetes. Nutrients. 2018;10(6). doi:10.3390/nu10060774
LibreCat
| DOI
| PubMed | Europe PMC
2018 | Book Chapter | LibreCat-ID: 28714
Voogt J, Eickelmann B, Labusch A, et al. Learning and teaching computational thinking – challenges for teacher education. In: Langran E, Borup J, eds. Proceedings of Society for Information Technology & Teacher Education International Conference. Association for the Advancement of Computing in Education (AACE); 2018:57-60.
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