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2183 Publications


2019 | Conference Paper | LibreCat-ID: 22441
Lammers, S., Tominski, J., & Zimmer, D. (2019). Guidelines for post processing oriented design of additive manufactured parts for use in topology optimization. II International Conference on Simulation for Additive Manufacturing Sim-AM 2019 11-13 September, 2019, 174–185. http://congress.cimne.com/sim-am2019/frontal/doc/EbookSim-AM2019.pdf
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2019 | Book Chapter | LibreCat-ID: 45471
Vogelsang, C., Borowski, A., Kulgemeyer, C., Riese, J., Reinhold, P., Schecker, H., Buschütter, D., Enkrott, P., Kempin, M., & Schröder, J. (2019). Performance-Oriented Testing and Training in Teacher Education. In O. Zlatkin-Troitschanskaia, M. Toepper, H. A. Pant, C. Lautenbach, & C. Kuhn (Eds.), Student Learning Outcomes Assessment in Higher Education – Perspectives, Concepts and Approaches for Research, Transfer and Implementation (KoKoHs Working Papers, 12) (pp. 40–43).
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2019 | Conference Paper | LibreCat-ID: 30377
Zahera, H. M. A., Sherif, M. A., & Ngonga Ngomo, A.-C. (2019). Jointly Learning from Social Media and Environmental Data for Typhoon Intensity Prediction. Proceedings of the 10th International Conference on Knowledge Capture. https://doi.org/10.1145/3360901.3364413
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2019 | Book Chapter | LibreCat-ID: 46153
Weber, T. (2019). A corpus-based approach to the usage and acquisition of prepositions by learners of German as a foreign language: form vs. function. In Andrea Abel, A. Glaznieks, V. Lyding, & L. Nicolas (Eds.), Widening the Scope of Learner Corpus Research. Selected papers from the fourth Learner Corpus Research Conference. (pp. 121–136). Presses universitaires de Louvain.
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2019 | Conference Paper | LibreCat-ID: 29037
Zahera, H. M. A., Sherif, M., & Ngonga Ngomo, A.-C. (2019). Jointly Learning from Social Media and Environmental Data for Typhoon Intensity Prediction. K-CAP 2019: Knowledge Capture Conference, 4.
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2019 | Conference Paper | LibreCat-ID: 29011
Sherif, M., Pestryakova, S., Dreßler, K., & Ngonga Ngomo, A.-C. (2019). LimesWebUI – Link Discovery Made Simple. 18th International Semantic Web Conference (ISWC 2019).
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2019 | Conference Paper | LibreCat-ID: 29038
Ahmed, A. F. A., Sherif, M., & Ngonga Ngomo, A.-C. (2019). Do your Resources Sound Similar? On the Impact of Using Phonetic Similarity in Link Discovery. K-CAP 2019: Knowledge Capture Conference.
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2019 | Conference Paper | LibreCat-ID: 29012
Fathi Ahmed, A., Sherif, M., & Ngonga Ngomo, A.-C. (2019). LSVS: Link Specification Verbalization and Summarization. 24th International Conference on Applications of Natural Language to Information Systems (NLDB 2019).
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2019 | Conference Paper | LibreCat-ID: 13461 | OA
Kaul, T., Bender, A., & Sextro, W. (2019). Digital Twin for Reliability Analysis During Design and Operation of Mechatronic Systems. In M. Beer & E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference (ESREL2019) (Issue 29, pp. 2340–2347).
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2019 | Journal Article | LibreCat-ID: 47947
Rüsing, M., Weigel, P. O., Zhao, J., & Mookherjea, S. (2019). Toward 3D Integrated Photonics Including Lithium Niobate Thin Films: A Bridge Between Electronics, Radio Frequency, and Optical Technology. IEEE Nanotechnology Magazine, 13(4), 18–33. https://doi.org/10.1109/mnano.2019.2916115
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2019 | Book Chapter | LibreCat-ID: 48341
Wille, M. (2019). Prinzipien und Strategien der Textgliederung in den Zeitungen des 18. Jahrhunderts – Eine computerbasierte Korpusanalyse. In F. Simmler & G. Baeva (Eds.), Textgliederungsprinzipien. Ihre Kennzeichnungsformen und Funktionen vom 8. bis 18. Jahrhundert. Akten zum Internationalen Kongress vom 22. bis 24. Juni 2017 an der Universität St. Petersburg (Vol. 34, pp. 507–531). Weidler.
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2019 | Conference Paper | LibreCat-ID: 15237 | OA
Gburrek, T., Glarner, T., Ebbers, J., Haeb-Umbach, R., & Wagner, P. (2019). Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion. Proc. 10th ISCA Speech Synthesis Workshop, 81–86. https://doi.org/10.21437/SSW.2019-15
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2019 | Book Chapter | LibreCat-ID: 31142
Schuster, B.-M. (2019). Textgliederungsprinzipien und Beziehungsgestaltung im Stammbuch von 1559–1878. In F. Simmler & G. Baeva (Eds.), Textgliederungsprinzipien. Ihre Kennzeichnungsformen und Funktionen in Texten vom 8. bis 18. Jahrhundert. Akten zum Internationalen Kongress an der Staatlichen Universität St. Petersburg vom 22. bis 24. Juni 2017 (pp. 293–312). WEIDLER.
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2019 | Journal Article | LibreCat-ID: 46346
Kerschke, P., & Trautmann, H. (2019). Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning. Evolutionary Computation (ECJ), 27(1), 99–127. https://doi.org/10.1162/evco_a_00236
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2019 | Book Chapter | LibreCat-ID: 48501
Balluff, S., Bendfeld, J., & Krauter, S. (2019). Meteorological Data Forecast using RNN. In Deep Learning and Neural Networks. IGI Global. https://doi.org/10.4018/978-1-7998-0414-7.ch050
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2019 | Journal Article | LibreCat-ID: 28992
Golombek, C., Klingsieck, K. B., & Scharlau, I. (2019). Assessing Self-Efficacy for Self-Regulation of Academic Writing: Development and validation of a scale. European Journal of Psychological Assessment, 35(5), 751–761. https://doi.org/10.1027/1015-5759/a000452
LibreCat | DOI
 

2019 | Journal Article | LibreCat-ID: 48703
Zobe, C., Krause, D., & Blischke, K. (2019). Dissociative effects of normative feedback on motor automaticity and motor accuracy in learning an arm movement sequence. Human Movement Science, 66, 529–540. https://doi.org/10.1016/j.humov.2019.06.004
LibreCat | DOI
 

2019 | Journal Article | LibreCat-ID: 48702
Krause, D., Koers, T., & Maurer, L. K. (2019). Valence‐dependent brain potentials of processing augmented feedback in learning a complex arm movement sequence. Psychophysiology, 57(3). https://doi.org/10.1111/psyp.13508
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2019 | Conference Paper | LibreCat-ID: 23720
Gräßler, I., Pottebaum, J., Taplick, P., Roesmann, D., & Preuß, D. (2019). Unterstützung des Lernens für kritische Situationen: Potenzial von Augmented Reality für die Instandsetzung auf See. In U. Lukas, K. Bauer, & T. Dolereit (Eds.), Go-3D 2019 “Mit 3D Richtung Maritim 4.0” - Tagungsband zur Konferenz Go-3D 2019 (pp. 45–57). Fraunhofer Verlag.
LibreCat
 

2019 | Conference Paper | LibreCat-ID: 48858
Bossek, J., & Grimme, C. (2019). Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems. In R. Battiti, M. Brunato, I. Kotsireas, & P. M. Pardalos (Eds.), Learning and Intelligent Optimization (pp. 184–198). Springer International Publishing. https://doi.org/10.1007/978-3-030-05348-2_17
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