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Publikationen 2022

Publikationen des Zentrums für sichere Energieinformatik finden Sie unter www.en-trust.at/publications


Zeitschriftenartikel

Ferner, C.; Wegenkittl, S. Benefits from Variational Regularization in Language Models. Machine Learning & Knowledge Extraction. 2022, 4, 542-555. https://doi.org/10.3390/make4020025

M. Csar, "Gruppendynamische Beobachtungen: Unterschiede in virtuellen Gruppen", Gruppe. Interaktion. Organisation, Zeitschrift Für Angewandte Organisationspsychologie (GIO), 2022. https://doi.org/10.1007/s11612-021-00614-5

M. Siller, L. M. Stangassinger, C. Kreutzer, P. Boor, R. D. Bulow, T. J. Kraus, S. Von Stillfried, S. Wolfl, S. Couillard-Despres, G. J. Oostingh, Anton Hittmair, Michael Gadermayr, “On the acceptance of “fake” histopathology: A study on frozen sections optimized with deep learning,” Journal of Pathology Informatics, vol. 13, 2022. https://doi.org/10.4103/jpi.jpi_53_21

F. Duong, M. Gadermayr, D. Merhof, C. Kuhl, P. Bruners, S. H. Loosen, C. Roderburg, D. Truhn, and M. F. Schulze-Hagen, “Automated major psoas muscle volumetry in computed tomography using machine learning algorithms,” International Journal of Computer Assisted Radiology and Surgery, vol. 17, no. 2, pp. 355–361, 2022. https://doi.org/10.1007/s11548-021-02539-2

L. Gupta, B. M. Klinkhammer, C. Seikrit, N. Fan, N. Bouteldja, P. Gräbel, M. Gadermayr, P. Boor, and D. Merhof, “Large-scale extraction of interpretable features provides new insights into kidney histopathology–a proof-of-concept study,” Journal of Pathology Informatics, p. 100097, 2022. 

Bücher und Buchbeiträge

M. Csar/ U. Krainz, "Digitale Lehre und kommunikative Qualität", In: Reinbacher, P. (Hrsg.): Qualitätsmanagement in der Krise? Paradoxien, Probleme und Perspektiven im Universitäts- und Hochschulbetrieb. Weinheim: Beltz Juventa Verlag, 2022. 

Konferenzbeiträge und Conference Proceedings

Ferner, C. (2022). Captioning Bosch: A Twitter Bot. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI-22 (pp. 5011–5014). International Joint Conferences on Artificial Intelligence Organization. https://doi.org/10.24963/ijcai.2022/694

Ferner, C., Heistracher, T. (2022). Strategic Approaches to the Use of Data Science in SMEs Lessons Learned from a Regional Multi-Case Study. In: Haber, P., Lampoltshammer, T.J., Leopold, H., Mayr, M. (eds) Data Science – Analytics and Applications. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-36295-9_12

M. E. Tschuchnig and M. Gadermayr, “Anomaly detection in medical imaging-a mini review,” Data Science–Analytics and Applications, pp. 33–38, 2022. https://doi.org/10.1007/978-3-658-36295-9_5

M. Uray, E. Hirsch, G. Katzinger, and M. Gadermayr, “Beyond desktop computation: Challenges in scaling a gpu infrastructure,” in Data Science–Analytics and Applications, 2022, pp. 75–81. https://doi.org/10.1007/978-3-658-36295-9_11

M. E. Tschuchnig, P. Grubmüller, L. M. Stangassinger, C. Kreutzer, S. Couillard-Després, G. J. Oostingh, A. Hittmair, and M. Gadermayr, “Evaluation of multiscale multiple instance learning to improve thyroid cancer classification,” in 2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2022, pp. 1–6. https://doi.org/10.1109/IPTA54936.2022.9784124

B. Freudenthaler, A. Fensel, K. Höfig, S. Huber, D. Jacob. KI-Net: AI-based Optimization in Industrial Manufacturing -- A Project Overview. Proc. 18th Int. Conf. on Comp. Aided Sys. Theory (EUROCAST 2022).
Las Palmas de Gran Canaria, Spain, February 2022. PDF

G. Schäfer, R. Kozlica, S. Wegenkittl, S. Huber. An Architecture for Deploying Reinforcement Learning in Industrial Environments. Proc. 18th Int. Conf. on Comp. Aided Sys. Theory (EUROCAST 2022). Las Palmas de Gran Canaria, Spain, February 2022. PDF

S. Huber, H. Waclawek. C^k-continuous Spline Approximtion with TensorFlow Gradient Descent Optimizers. Proc. 18th Int. Conf. on Comp. Aided Sys. Theory (EUROCAST 2022). Las Palmas de Gran Canaria, Spain, February 2022. PDF

M. Lehenauer, S. Wintersteller, Martin Uray, Stefan Huber. Improvements for mlrose Applied To the Traveling Salesman Problem. Proc. 18th Int. Conf. on Comp. Aided Sys. Theory (EUROCAST 2022). Las Palmas de Gran Canaria, Spain, February 2022. PDF

M. Uray, I. K. Krall. "ICM-Konzept für die multimediale Kursgestaltung zur Förderung eines flexibleren Zeitmanagements unter Anwendung von Blended Learnig". Conference Inverted Classroom and beyond 2022, Paderborn, Germany (Online), February 2022. 

M. Uray, E. Hirsch, G. Katzinger, M. Gadermayr, "Beyond Desktop Computation: Challenges in Scaling a GPU Infrastructure". https://doi.org/10.1007/978-3-658-36295-9_11

Kranzer, S., Saßnick, O., Hofer, D., Hoher, S., Schirl, M., & Prill, D. (2022). Salzburg Smart Factory Bootcamp. In Wissenstransfer im Spannungsfeld von Autonomisierung und Fachkräftemangel. 18. AALE-Konferenz. Hochschule für Technik, Wirtschaft und Kultur Leipzig. https://doi.org/10.33968/2022.32

Zniva R., Saßnick, O., Uray M., Schlager, C., Horn, M., Kozlica, R., Neureiter, T., Kranzer, S., Müller, V. (2022). Instore retail technologies - a computer sciences perspective. In Petljak Kristina, Brusset Xavier and Teller Christoph (Eds.) Proceedings of the Colloquium on European Research in Retailing (CERR) 2022. Zagreb, Croatia (ISBN978-953-346-184-7)