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151 Publications
2021 | Conference Paper | LibreCat-ID: 21479
Afifi, H., Ramaswamy, A., & Karl, H. (2021). A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks. In 2021 IEEE 18th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2021).
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2021 | Conference Paper | LibreCat-ID: 21543 | 
Schneider, S. B., Qarawlus, H., & Karl, H. (2021). Distributed Online Service Coordination Using Deep Reinforcement Learning. In IEEE International Conference on Distributed Computing Systems (ICDCS). Washington, DC, USA: IEEE.
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2021 | Conference Paper | LibreCat-ID: 22481
Sander, T., Lange, S., Hilleringmann, U., Geneis, V., Hedayat, C., Kuhn, H., & Gockel, F.-B. (2021). Detection of Defects on Irregular Structured Surfaces by Image Processing Methods for Feature Extraction. In 22nd IEEE International Conference on Industrial Technology (ICIT). Valencia, Spain : IEEE. https://doi.org/10.1109/icit46573.2021.9453646
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2021 | Journal Article | LibreCat-ID: 21808 |
Schneider, S. B., Khalili, R., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., & Hecker, A. (2021). Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management. https://doi.org/10.1109/TNSM.2021.3076503
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2021 | Conference Paper | LibreCat-ID: 27381
Damke, C., & Hüllermeier, E. (2021). Ranking Structured Objects with Graph Neural Networks. In C. Soares & L. Torgo (Eds.), Proceedings of The 24th International Conference on Discovery Science (DS 2021) (Vol. 12986, pp. 166–180). Springer. https://doi.org/10.1007/978-3-030-88942-5
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| DOI
| arXiv
2021 | Journal Article | LibreCat-ID: 20212 |
Prester, J., Wagner, G., Schryen, G., & Hassan, N. R. (2021). Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach. Decision Support Systems, 140(January), Article 113432.
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2021 | Working Paper | LibreCat-ID: 33854 |
Schneider, S. B., Karl, H., Khalili, R., & Hecker, A. (2021). DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.
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2021 | Book Chapter | LibreCat-ID: 29102
Gerholz, K.-H., & Goller, M. (2021). Theorie-Praxis-Verzahnung in der Wirtschaftspädagogik: Potenziale und Grenzen des Lernortes Praxis. In C. Caruso, C. Harteis, & A. Gröschner (Eds.), Edition Fachdidaktiken (pp. 393–419). Springer. https://doi.org/10.1007/978-3-658-32568-8_22
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2021 | Journal Article | LibreCat-ID: 32558 |
Bonanati, S., & Buhl, H. M. (2021). The digital home learning environment and its relation to children’s ICT self-efficacy. Learning Environments Research, 25(2), 485–505. https://doi.org/10.1007/s10984-021-09377-8
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2021 | Journal Article | LibreCat-ID: 35202
Goller, M., Caruso, C., & Harteis, C. (2021). Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers. International Journal for Research in Vocational Education and Training, 8(2), 208–223. https://doi.org/10.13152/IJRVET.8.2.4.
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2021 | Book Chapter | LibreCat-ID: 35464
Berisha-Gawlowski, Angelina, Caruso, C., & Harteis, C. (2021). The Concept of a Digital Twin and Its Potential for Learning Organizations. In D. Ifenthaler, S. Hofhues, M. Egloffstein, & C. Helbig (Eds.), Digital Transformation of Learning Organizations (pp. 95–114). Springer. https://doi.org/10.1007/978-3-030-55878-9_6
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2021 | Working Paper | LibreCat-ID: 35889 |
Schneider, S. B. (2021). Conventional and Machine Learning Approaches for Network and Service Coordination.
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2021 | Working Paper | LibreCat-ID: 37136
Ichev, R., Koren, J., Kosi, U., Sitar Sustar, K., & Valentincic, A. (2021). Cost of Debt for Private Firms Revisited: Voluntary Audits as a Reflection of Risk.
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2021 | Conference Paper | LibreCat-ID: 24547
Müller, O., Caron, M., Döring, M., Heuwinkel, T., & Baumeister, J. (n.d.). PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data. 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.
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2021 | Book Chapter | LibreCat-ID: 22930
Uhe, B., Kuball, C.-M., Merklein, M., & Meschut, G. (2021). Self-Piercing Riveting Using Rivets Made of Stainless Steel with High Strain Hardening. In G. Daehn, J. Cao, B. Kinsey, E. Tekkaya, A. Vivek, & Y. Yoshida (Eds.), Forming the Future - Proceedings of the 13th International Conference on the Technology of Plasticity. The Minerals, Metals & Materials Series. (pp. 1495–1506). Springer. https://doi.org/10.1007/978-3-030-75381-8_124
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2021 | Conference Paper | LibreCat-ID: 22274
Uhe, B., Kuball, C.-M., Merklein, M., & Meschut, G. (2021). Strength of self-piercing riveted Joints with conventional Rivets and Rivets made of High Nitrogen Steel. 24th International Conference on Material Forming (ESAFORM), Liège, Belgien. https://doi.org/10.25518/esaform21.1911
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2021 | Journal Article | LibreCat-ID: 34822
Bruns, J., Gasteiger, H., & Strahl, C. (2021). Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review. Review of Education, 9(2), 500–538. https://doi.org/10.1002/rev3.3255
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| DOI
| WoS
2020 | Conference Paper | LibreCat-ID: 19609 |
Schneider, S. B., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., Khalili, R., & Hecker, A. (2020). Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In IEEE International Conference on Network and Service Management (CNSM). IEEE.
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2020 | Conference (Editor) | LibreCat-ID: 19976
Kuball, C.-M., Uhe, B., Meschut, G., & Merklein, M. (Eds.). (2020). Process design for the forming of semi-tubular self-piercing rivets made of high nitrogen steel (Vol. 50, pp. 280–285). https://doi.org/10.1016/j.promfg.2020.08.052
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2020 | Conference Paper | LibreCat-ID: 18686
Kersting, J., & Bäumer, F. S. (2020). SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, 119--123.
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2020 | Conference Paper | LibreCat-ID: 15580
Kersting, J., & Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020) (pp. 391--400). Setúbal, Portugal: SCITEPRESS.
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2020 | Journal Article | LibreCat-ID: 20143 |
Otroshi, M., Rossel, M., & Meschut, G. (2020). Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model. Journal of Advanced Joining Processes, 1. https://doi.org/10.1016/j.jajp.2020.100015
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2020 | Journal Article | LibreCat-ID: 35313
Harteis, C., Goller, M., & Caruso, C. (2020). Conceptual Change in the Face of Digitalization. Frontiers in Education, 5(1). https://doi.org/10.3389/feduc.2020.00001
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| DOI
2020 | Journal Article | LibreCat-ID: 35298
Caruso, C., Adammek, C., Bonanati, S., & Wiescholek, S. (2020). Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen. Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, 3(1), 18–33. https://doi.org/10.4119/hlz-2540
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| DOI
2020 | Conference (Editor) | LibreCat-ID: 19974
Kuball, C.-M., Jung, R., Uhe, B., Meschut, G., & Merklein, M. (Eds.). (2020). Influence of the process temperature on the forming behaviour and the friction during bulk forming of high nitrogen steel (No. 100023; Vol. 1). https://doi.org/10.1016/j.jajp.2020.100023
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| DOI
2020 | Journal Article | LibreCat-ID: 19973
Uhe, B., Kuball, C.-M., Merklein, M., & Meschut, G. (2020). Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints. Production Engineering, 14, 417–423. https://doi.org/10.1007/s11740-020-00973-w
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| DOI
2020 | Journal Article | LibreCat-ID: 33299 |
Hahn, C. A. (2020). Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen. die hochschullehre, 6.
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2020 | Conference Paper | LibreCat-ID: 48897
Seiler, M., Pohl, J., Bossek, J., Kerschke, P., & Trautmann, H. (2020). Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. Parallel Problem Solving from {Nature} (PPSN XVI), 48–64. https://doi.org/10.1007/978-3-030-58112-1_4
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2019 | Journal Article | LibreCat-ID: 9853
Szopinski, D. (2019). Squaring the circle: Business model teaching in large classroom settings. Journal of Business Models, 7(3), 90–100.
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2019 | Conference Paper | LibreCat-ID: 13107
Schumacher, J., & Rezat, S. (n.d.). A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers. In U. T. Jankvist, M. Van den Heuvel-Panhuizen, & M. Veldhuis (Eds.), Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019). Utrecht, the Netherlands: Freudenthal Group & Freudenthal Institute, Utrecht University and ERME.
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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: 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 | Dissertation | LibreCat-ID: 10000
Bornmann, P. (2019). Modellierung und experimentelle Charakterisierung der Wechselwirkung zwischen Ultraschallwandler und Flüssigkeit in kavitationsbasierten Prozessen. Shaker.
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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
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2018 | Book Chapter | LibreCat-ID: 3593
Harteis, C., & Fischer, C. (2018). Wissensmanagement unter Bedingungen von Arbeit 4.0. In G. W. Maier, G. Engels, & E. Steffen (Eds.), Handbuch Gestaltung digitaler und vernetzter Arbeitswelten (pp. 1--18). Berlin, Heidelberg: Springer.
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2018 | Book Chapter | LibreCat-ID: 3594
Fischer, C., Goller, M., Brinkmann, L., & Harteis, C. (2018). Digitalisation of Work: Between Affordances and Constraints for Learning at Work. In D. Ifenthaler (Ed.), Digital Workplace Learning (pp. 227--249). Cham: Springer.
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2018 | Conference Paper | LibreCat-ID: 3852 |
Wever, M. D., Mohr, F., & Hüllermeier, E. (2018). ML-Plan for Unlimited-Length Machine Learning Pipelines. In ICML 2018 AutoML Workshop. Stockholm, Sweden.
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2018 | Conference Paper | LibreCat-ID: 1163
Feldmann, M., Kolb, C., Scheideler, C., & Strothmann, T. F. (2018). Self-Stabilizing Supervised Publish-Subscribe Systems. In Proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS). Vancouver: IEEE. https://doi.org/10.1109/IPDPS.2018.00114
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| DOI
| arXiv
2018 | Journal Article | LibreCat-ID: 2331
Kim, Y., Lee, S., Dollmann, M., & Geierhos, M. (2018). Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure. International Journal of Advanced Science and Technology, 112, 123–136. https://doi.org/10.14257/ijast.2018.112.12
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2018 | Conference Paper | LibreCat-ID: 4411
Knollmann, T., & Scheideler, C. (2018). A Self-Stabilizing Hashed Patricia Trie. In T. Izumi & P. Kuznetsov (Eds.), Proceedings of the 20th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS) (Vol. 11201). Tokyo: Springer, Cham. https://doi.org/10.1007/978-3-030-03232-6_1
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| DOI
| arXiv
2018 | Conference Paper | LibreCat-ID: 9999
Unger, A., Hunstig, M., Meyer, T., Brökelmann, M., & Sextro, W. (2018). Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges. In In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018 (Vol. Vol. 2018, No. 1, pp. 000572-000577.). https://doi.org/10.4071/2380-4505-2018.1.000572
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2018 | Journal Article | LibreCat-ID: 5586 |
Weishäupl, E., Yasasin, E., & Schryen, G. (2018). Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning. Computers & Security, 77, 807–823.
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2018 | Journal Article | LibreCat-ID: 32158
Bertau, M.-C., & Karsten, A. (2018). Reconsidering interiorization: Self moving across language spacetimes. New Ideas in Psychology, 49, 7–17. https://doi.org/10.1016/j.newideapsych.2017.12.001
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| DOI
2018 | Journal Article | LibreCat-ID: 34498 |
Gorges, J., Neumann, P., Wild, E., Stranghöner, D., & Lütje-Klose, B. (2018). Reciprocal effects between self-concept of ability and performance: A longitudinal study of children with learning disabilities in inclusive versus exclusive elementary education. Learning and Individual Differences, 61, 11–20. https://doi.org/10.1016/j.lindif.2017.11.005
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2018 | Dissertation | LibreCat-ID: 9994
Meyer, T. (2018). Optimization-based reliability control of mechatronic systems. Shaker.
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2018 | Journal Article | LibreCat-ID: 48884
Kerschke, P., Kotthoff, L., Bossek, J., Hoos, H. H., & Trautmann, H. (2018). Leveraging TSP Solver Complementarity through Machine Learning. Evolutionary Computation, 26(4), 597–620. https://doi.org/10.1162/evco_a_00215
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| DOI
2018 | Journal Article | LibreCat-ID: 4419
Fust, A. P., Jenert, T., & Winkler, C. (2018). Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes. Entrepreneurship Research Journal, 8(2), 1–11.
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2017 | Book | LibreCat-ID: 3600
Goller, M. (2017). Human agency at work: An active approach towards expertise development. Wiesbaden: Springer. https://doi.org/10.1007/978-3-658-18286-1
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2017 | Conference Paper | LibreCat-ID: 9978
Kimotho, J. K., Sextro, W., & Hemsel, T. (2017). Estimation of Remaining Useful Lifetime of Piezoelectric Transducers Based on Self-Sensing. In IEEE Transactions on Reliability (pp. 1–10). https://doi.org/10.1109/TR.2017.2710260
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2017 | Conference Paper | LibreCat-ID: 10780
Guettatfi, Z., Hübner, P., Platzner, M., & Rinner, B. (2017). Computational self-awareness as design approach for visual sensor nodes. In 12th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC) (pp. 1–8). https://doi.org/10.1109/ReCoSoC.2017.8016147
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