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2183 Publications
2019 | Conference Paper | LibreCat-ID: 13443 | 
Redder, A., Ramaswamy, A., & Quevedo, D. (2019). Deep reinforcement learning for scheduling in large-scale networked control systems. In Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems. Chicago, USA.
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2019 | Conference Paper | LibreCat-ID: 10093
Beyer, D., Jakobs, M.-C., Lemberger, T., & Wehrheim, H. (2019). Combining Verifiers in Conditional Model Checking via Reducers. In S. Becker, I. Bogicevic, G. Herzwurm, & S. Wagner (Eds.), Software Engineering and Software Management (SE/SWM 2019), Stuttgart, Germany, February 18-22, 2019 (Vol. P-292, pp. 151--152). GI. https://doi.org/10.18420/se2019-46
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2019 | Conference Paper | LibreCat-ID: 10094
Sharma, A., & Wehrheim, H. (2019). Testing Balancedness of ML Algorithms. In S. Becker, I. Bogicevic, G. Herzwurm, & S. Wagner (Eds.), Software Engineering and Software Management, {SE/SWM} 2019, Stuttgart, Germany, February 18-22, 2019 (Vol. {P-292}, pp. 157–158). {GI}. https://doi.org/10.18420/se2019-48
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2019 | Conference Paper | LibreCat-ID: 10232 |
Wever, M. D., Mohr, F., Tornede, A., & Hüllermeier, E. (2019). Automating Multi-Label Classification Extending ML-Plan. Presented at the 6th ICML Workshop on Automated Machine Learning (AutoML 2019), Long Beach, CA, USA.
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2019 | Journal Article | LibreCat-ID: 25030
Schenke, M., Kirchgässner, W., & Wallscheid, O. (2019). Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept. IEEE Transactions on Industrial Informatics, 4650–4658. https://doi.org/10.1109/tii.2019.2948387
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2019 | Journal Article | LibreCat-ID: 22047
Moritzer, E., Hirsch, A., Heim, H. P., Cherif, C., & Truemper, W. (2019). Plastic droplet welding: bond strength between plastic freeforming structures and continuous fiber-reinforced thermoplastic composites. Welding in the World, 63, 867–873. https://doi.org/10.1007/s40194-019-00714-3
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2019 | Conference Paper | LibreCat-ID: 15332
Schlichtig, M., Opel, S. A., Budde, L., & Schulte, C. (2019). Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In E. Jasutė & S. Pozdniakov (Eds.), ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings (Vol. 12, pp. 65–73).
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2019 | Book | LibreCat-ID: 34492 |
Neumann, P. (2019). Kooperation selbst bestimmt? Interdisziplinäre Kooperation und Zielkonflikte in inklusiven Grundschulen und Förderschulen (Vol. 73). Waxmann Verlag GmbH. https://doi.org/10.31244/9783830990437
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2019 | Journal Article | LibreCat-ID: 8958
Goller, M., Steffen, B., & Harteis, C. (2019). Becoming a Nurse Aide: An Investigation of an Existing Workplace Curriculum in a Nursing Home. Vocations and Learning, 12(1), 67–85. https://doi.org/10.1007/s12186-018-9209-z
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2019 | Journal Article | LibreCat-ID: 28687 |
Scharlau, I., Körber, M., & Karsten, A. (2019). Plunging into a world? A novel approach to undergraduates’ metaphors of reading. Frontline Learning Research, 9(4), 25–57. https://doi.org/10.14786/flr.v7i4.559
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2019 | Journal Article | LibreCat-ID: 28986 |
Scharlau, I., & Huber, L. (2019). Welche Rolle spielen Fachkulturen heute? Bericht von einer Erkundungsstudie. die hochschullehre, 5.
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2019 | Conference Paper | LibreCat-ID: 17096
Sommerauer, P., Müller, O., Maxim, L., & Østman, N. (2019). The Effect of Marker-less Augmented Reality on Task and Learning Performance. International Conference on Wirtschaftsinformatik.
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2019 | Journal Article | LibreCat-ID: 27026
Libuda, L., Laabs, B.-H., Ludwig, C., Bühlmeier, J., Antel, J., Hinney, A., Naaresh, R., Föcker, M., Hebebrand, J., König, I. R., & Peters, T. (2019). Vitamin D and the Risk of Depression: A Causal Relationship? Findings from a Mendelian Randomization Study. Nutrients, Article 1085. https://doi.org/10.3390/nu11051085
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2019 | Journal Article | LibreCat-ID: 27025
Knoll-Pientka, N., Bühlmeier, J., Peters, T., Albrecht, M., Adams, F., Wustrau, K., Teufel, M., Hebebrand, J., Föcker, M., & Libuda, L. (2019). Risk factors for a low weight gain in the early stage of adolescent anorexia nervosa inpatient treatment: findings from a pilot study. Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity, 911–919. https://doi.org/10.1007/s40519-019-00705-9
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2019 | Journal Article | LibreCat-ID: 27521
Hebebrand, J., Milos, G., Wabitsch, M., Teufel, M., Führer, D., Bühlmeier, J., Libuda, L., Ludwig, C., & Antel, J. (2019). Clinical Trials Required to Assess Potential Benefits and Side Effects of Treatment of Patients With Anorexia Nervosa With Recombinant Human Leptin. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2019.00769
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2019 | Journal Article | LibreCat-ID: 33438
Knickenberg, M., Zurbriggen, C., Venetz, M., Schwab, S., & Gebhardt, M. (2019). Assessing dimensions of inclusion from students’ perspective – measurement invariance across students with learning disabilities in different educational settings. European Journal of Special Needs Education, 35(3), 287–302. https://doi.org/10.1080/08856257.2019.1646958
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2019 | Book Chapter | LibreCat-ID: 8749
Laubenstein, D., Guthöhrlein, K., Lindmeier, C., Scheer, D., & Sponholz, D. (2019). The ‘Learning Office’ as an Approach for Inclusive Education in Mathematics: Opportunities and Challenges. In In: Kollosche, D.; Marcone, R.; Knigge, M.; Godoy Penteado, M.; Skovsmose, O. (Hrsg.). Inclusive Mathematics Education. State-of-the-Art Research from Brazil and Germany (pp. 107–121). Springer. https://doi.org/10.1007/978-3-030-11518-0_9
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2019 | Journal Article | LibreCat-ID: 15814 |
Haeb-Umbach, R., Watanabe, S., Nakatani, T., Bacchiani, M., Hoffmeister, B., Seltzer, M. L., Zen, H., & Souden, M. (2019). Speech Processing for Digital Home Assistance: Combining Signal Processing With Deep-Learning Techniques. IEEE Signal Processing Magazine, 36(6), 111–124. https://doi.org/10.1109/MSP.2019.2918706
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2019 | Journal Article | LibreCat-ID: 35583
Leong, A. S., Ramaswamy, A., Quevedo, D. E., Karl, H., & Shi, L. (2019). Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems. Automatica, 113, Article 108759. https://doi.org/10.1016/j.automatica.2019.108759
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2019 | Journal Article | LibreCat-ID: 18155
Merten, M.-L., & Tophinke, D. (2019). Interaktive Analyse historischen Grammatikwandels. Konstruktionsgrammatik trifft auf machine learning. Jahrbuch für Germanistische Sprachgeschichte, 10 (1), 303–323.
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