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2183 Publications
2019 | Conference Paper | LibreCat-ID: 48875
Bossek, J., & Trautmann, H. (2019). Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In R. Battiti, M. Brunato, I. Kotsireas, & P. M. Pardalos (Eds.), Learning and Intelligent Optimization (pp. 215–219). Springer International Publishing. https://doi.org/10.1007/978-3-030-05348-2_19
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 48877
Casalicchio, G., Bossek, J., Lang, M., Kirchhoff, D., Kerschke, P., Hofner, B., Seibold, H., Vanschoren, J., & Bischl, B. (2019). OpenML: An R Package to Connect to the Machine Learning Platform OpenML. Computational Statistics, 34(3), 977–991. https://doi.org/10.1007/s00180-017-0742-2
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 45054
Knickenberg, M., Marwin Felix, L., & Frank, H. (2019). Potential influencing factors for teachers’ self-efficacy beliefs concerning inclusive education. 18th Biennial EARLI (European Association for Research on Learning and Instruction) Conference 2019, Aachen.
LibreCat
2019 | Conference Paper | LibreCat-ID: 45055
Knickenberg, M., & Chantal, H. (2019). Applicability of ESM in School: Quality of students’ social interaction. 18th Biennial EARLI (European Association for Research on Learning and Instruction) Conference 2019, Aachen.
LibreCat
2019 | Journal Article | LibreCat-ID: 46156
Wessel, L. (2019). 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, 32(4), 653–681. https://doi.org/10.1007/s13394-019-00284-z
LibreCat
| DOI
2019 | Book (Editor) | LibreCat-ID: 48376
Klinger, M., Schüler-Meyer, A., & Wessel, L. (Eds.). (2019). Hanse-Kolloquium zur Hochschuldidaktik der Mathematik 2018 (Vol. 6). WTM-Verlag. https://doi.org/10.37626/ga9783959870986.0
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 53972
Santos-Arteaga, F. J., Torrecillas, C., & Tavana, M. (2019). Dynamic effects of learning on the innovative outputs and productivity in Spanish multinational enterprises. The Journal of Technology Transfer, 44(1), 97–131. https://doi.org/10.1007/s10961-017-9597-5
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 46337
Bossek, J., & Trautmann, H. (2019). Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In R. Battiti, M. Brunato, I. Kotsireas, & P. Pardalos (Eds.), Learning and Intelligent Optimization (Vol. 11353, pp. 215–219). Springer.
LibreCat
2018 | Conference Paper | LibreCat-ID: 2479 | 
Mohr, F., Wever, M. D., Hüllermeier, E., & Faez, A. (2018). (WIP) Towards the Automated Composition of Machine Learning Services. In SCC. San Francisco, CA, USA: IEEE. https://doi.org/10.1109/SCC.2018.00039
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| Download (ext.)
2018 | Conference Abstract | LibreCat-ID: 24928
Tolksdorf, N. F., & Siebert, S. (2018). Raising Robotic Natives? Ethical aspects of learning with robots in kindergarten. Third International Conference on Communication & Media Studies, Berkeley, USA.
LibreCat
2018 | Preprint | LibreCat-ID: 19524
Pfannschmidt, K., Gupta, P., & Hüllermeier, E. (2018). Deep Architectures for Learning Context-dependent Ranking Functions. ArXiv:1803.05796.
LibreCat
2018 | Journal Article | LibreCat-ID: 20
Lass, M., Kühne, T., & Plessl, C. (2018). Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters, 10(2), 33–36. https://doi.org/10.1109/LES.2017.2760923
LibreCat
| DOI
| arXiv
2018 | Journal Article | LibreCat-ID: 27981
Weber, K., Simon, M., Strassburger, K., Markgraf, D., Buyken, A., Szendroedi, J., Müssig, K., Roden, M., & Group, G. (2018). Habitual Fructose Intake Relates to Insulin Sensitivity and Fatty Liver Index in Recent-Onset Type 2 Diabetes Patients and Individuals without Diabetes. Nutrients, 10(6). https://doi.org/10.3390/nu10060774
LibreCat
| DOI
| PubMed | Europe PMC
2018 | Book Chapter | LibreCat-ID: 28714
Voogt, J., Eickelmann, B., Labusch, A., Yadav, A., Leftwich, A., Strijker, A., Rich, K., Good, J., & Sands, P. (2018). Learning and teaching computational thinking – challenges for teacher education. In E. Langran & J. Borup (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 57–60). Association for the Advancement of Computing in Education (AACE).
LibreCat
2018 | Journal Article | LibreCat-ID: 24150
Ramaswamy, A., & Bhatnagar, S. (2018). Stability of stochastic approximations with “controlled markov” noise and temporal difference learning. IEEE Transactions on Automatic Control, 64(6), 2614–2620.
LibreCat
2018 | Journal Article | LibreCat-ID: 24151
Demirel, B., Ramaswamy, A., Quevedo, D. E., & Karl, H. (2018). Deepcas: A deep reinforcement learning algorithm for control-aware scheduling. IEEE Control Systems Letters, 2(4), 737–742.
LibreCat
2018 | Journal Article | LibreCat-ID: 25929
Buyken, A., Mela, D., Dussort, P., Johnson, I., Macdonald, I., Stowell, J., & FJPH, B. (2018). Dietary carbohydrates: a review of international recommendations and the methods used to derive them. Eur J Clin Nutr, 72(12), 1625–1643. https://doi.org/10.1038/s41430-017-0035-4
LibreCat
| DOI
| PubMed | Europe PMC
2018 | Conference Paper | LibreCat-ID: 26421
Winkelnkemper, F., & Keil, R. (2018). MediaThing – A Learning Scenario Targeting on Research Skills. In T. Bastiaens, J Van Braak, & M Brown (Eds.), Proceedings of EdMedia: World Conference on Educational Media and Technology. (pp. 2397–2406).
LibreCat
2018 | Conference Paper | LibreCat-ID: 26593
Habeeb Syed, Z., Röder, M., & Ngonga Ngomo, A.-C. (2018). FactCheck: Validating RDF Triples Using Textual Evidence. In A. Cuzzocrea, J. Allan, N. W. Paton, D. Srivastava, R. Agrawal, A. Z. Broder, M. J. Zaki, K. Selçuk Candan, A. Labrinidis, A. Schuster, & H. Wang (Eds.), Proceedings of the 27th {ACM} International Conference on Information and Knowledge Management, {CIKM} 2018, Torino, Italy, October 22-26, 2018 (pp. 1599–1602). {ACM}. https://doi.org/10.1145/3269206.3269308
LibreCat
| DOI
2018 | Conference Paper | LibreCat-ID: 26606
Zinke, C., & Ngonga Ngomo, A.-C. (2018). Discovering and Linking Spatio-Temporal Big Linked Data. 2018 {IEEE} International Geoscience and Remote Sensing Symposium, {IGARSS} 2018, Valencia, Spain, July 22-27, 2018, 411–414. https://doi.org/10.1109/IGARSS.2018.8519025
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| DOI