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51 Publikationen
2022 | Konferenzband - Beitrag | ELSA-ID: 9161
Grimm, Valentin, et al. “Requirements and Design of a Training System for Domestic Workers.” DELFI 2022 : Die 20. Fachtagung Bildungstechnologien Der Gesellschaft Für Informatik e.V., 12.-14. September 2022, Karlsruhe, edited by Peter A. Henning et al., vol. P-322, Gesellschaft für Informatik e.V., 2022, pp. 213–14, https://doi.org/10.18420/delfi2022-037.
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2021 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12800
Strohschein, Jan, et al. “Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems.” The International Journal of Advanced Manufacturing Technology, vol. 115, no. 11–12, 2021, pp. 3513–32, https://doi.org/10.1007/s00170-021-07248-3.
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2021 | Zeitschriftenaufsatz | ELSA-ID: 6689 | 
Wefing, Patrick, et al. “Determination of Free Amino Nitrogen in Beer Mash with an Inline NIR Transflectance Probe and Data Evaluation by Machine Learning Algorithms.” Brewing Science , vol. 74, no. 9/10, 2021, pp. 107–21, https://doi.org/10.23763/BrSc21-10wefing.
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2021 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 7519
Schäfers, Tobias, et al. “More of the Same? Effects of Volume and Variety of Social Media Brand Engagement Behavior.” Journal of Business Research, vol. 135, 2021, pp. 282–94, https://doi.org/10.1016/j.jbusres.2021.06.033.
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2021 | Konferenzband - Beitrag | ELSA-ID: 11803
Müller, Arthur, et al. “Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control.” 20th IEEE International Conference on Machine Learning and Applications (ICMLA), edited by M. Arif Wani et al., IEEE, 2021, https://doi.org/10.1109/ICMLA52953.2021.00085.
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2020 | Konferenzband - Beitrag | ELSA-ID: 12807
Leemhuis, Alexander, et al. “Bacher than Bach? On Musicologically Informed AI-Based Bach Chorale Harmonization.” Machine Learning and Knowledge Discovery in Databases : International Workshops of ECML PKDD 2019, edited by Peggy Cellier and Kurt Driessens, vol. 1168, Springer International Publishing, 2020, pp. 462–69, https://doi.org/10.1007/978-3-030-43887-6_39.
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2020 | Konferenzband - Beitrag | ELSA-ID: 12812
Berns, Fabian, et al. “Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0.” Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1, edited by H. Panetto et al., SCITEPRESS - Science and Technology Publications, 2020, pp. 87–92, https://doi.org/10.5220/0010130300870092.
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2020 | Sammelwerk - Beitrag | ELSA-ID: 11883
Claes, Svenja, et al. “Das eCoFolio - ein reflexives E-Portfolio in der Lehramtsausbildung für Berufsschulen.” Hochschuldidaktik als Akteurin der Hochschulentwicklung, edited by Sylvia Heuchemer et al., 1st ed., vol. 136, wbv , 2020, pp. 207–13.
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2020 | Konferenz - Beitrag | ELSA-ID: 4097 |
Besginow, Andreas, et al. “Making Object Detection Available to Everyone - A Hardware Prototype for Semi-Automatic Synthetic Data Generation.” 22nd International Conference on Human-Computer Interaction, vol. 12203, Springer, 2020, pp. 178–92, https://doi.org/10.1007/978-3-030-50344-4_14.
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2020 | Konferenzband - Beitrag | ELSA-ID: 4100 |
Schmohl, Tobias, et al. “Conceptual Design of an AI-Based Learning Assistant .” The Future of Education, Libreriauniversitaria.it, 2020, pp. 309–13, doi:10.26352/E618_2384-9509.
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2019 | Sammelwerk - Beitrag | ELSA-ID: 6850
von Blanckenburg, Korbinian, and Eike Knost. “Einsatz von eTutorien als komplementäre Lehr- und Lernform.” Lehrexperimente der Hochschulbildung- Didaktische Innovationen aus den Fachdisziplinen, edited by Tobias Schmohl and Dennis Schäffer, 2. Auflage, vol. 2, wbv , 2019, pp. 41–46, doi: 10.25656/01:18561.
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2019 | Konferenz - Beitrag | ELSA-ID: 4102 |
Dhiman, Hitesh, et al. “Handling Work Complexity with AR/Deep Learning.” Proceedings of the 31st Australian Conference on Human-Computer-Interaction (OzCHI’19) : 2nd Dec.-5th Dec. 2019, Perth/Fremantle, WA, Australia, ACM, 2019, pp. 518–522, doi:10.1145/3369457.3370919.
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2019 | Sammelwerk - Beitrag | ELSA-ID: 4312
Fullen, Marta, et al. “Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition.” 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), edited by IEEE, IEEE, 2019, pp. 296–302, doi:10.1109/INDIN41052.2019.8972122.
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2019 | Sammelwerk - Beitrag | ELSA-ID: 4313
Röcker, Carsten. “Exploring the Acceptance of Video-Based Medical Support.” Intelligent Human Systems Integration 2019, edited by Waldemar Karwowski and Tareq Ahram, vol. 903, Springer, 2019, pp. 551–56, doi:10.1007/978-3-030-11051-2_83.
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2018 | Konferenz - Beitrag | ELSA-ID: 4327 |
Lang, Dorota, et al. “Assistance System to Support Troubleshooting of Complex Industrial Systems.” 14th IEEE International Workshop on Factory Communication Systems (WFCS), IEEE, 2018, doi:10.1109/WFCS.2018.8402380.
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2018 | Konferenzband - Beitrag | ELSA-ID: 9650 |
Schmohl, Tobias. “Towards a New Scholarship of German Science Education.” International Conference New Perspectives in Science Education , edited by PIXEL, 7th ed., libreriauniversitaria.it edizioni, 2018.
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2017 | Konferenzband - Beitrag | ELSA-ID: 7592 |
Schmohl, Tobias. “The Research—Education Nexus: Basic Premises and Practical Application of the ‘Scholarship’ Movement.” The Future of Education, vol. 7, Libreriauniversitaria.it, 2017, pp. 317–21.
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2017 | Bachelorarbeit | ELSA-ID: 811
Böhl, Freda. eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion. Hochschule Ostwestfalen-Lippe, 2017.
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2017 | Konferenz - Beitrag | ELSA-ID: 4254 |
Büttner, Sebastian, et al. “Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction.” Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings, edited by Andreas Holzinger, vol. 10410, Springer, 2017, pp. 69–82.
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2016 | Sammelwerk - Beitrag | ELSA-ID: 4298
Robert, Sebastian, et al. “Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning.” Machine Learning for Health Informatics : State-of-the-Art and Future Challenges , edited by Andreas Holzinger, vol. 9605, Springer, 2016, pp. 357–76, doi:10.1007/978-3-319-50478-0_18.
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