Projects per year
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Dive into the research topics where Jan Zenisek is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 3 Finished
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RESINET - Increase of resilience of energy grids
Kirchsteiger, H., Schnellendorfer, M., Issayan, G., Dehner, H., Kirchsteiger, H., Dorl, S., Daborer-Prado, N., Zenisek, J., Wagner, C., Resch, A., Gaisberger, L. & Zettl, B.
IGJ Investment for Growth and Jobs 2014 - 2020
01.01.2021 → 30.06.2022
Project: Research Project
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Optimal Workforce
Beham, A., Karder, J. A., Altendorfer, K., Wagner, S., Affenzeller, M., Zenisek, J., Brunner, M., Schober, A. & Lausberger, V. A.
Förderungen für Digitalisierung in OÖ
01.11.2017 → 01.05.2021
Project: Research Project
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Smart Factory Lab
Jodlbauer, H., Wild, N. W., Niedermayr, D., Wolfartsberger, J., Zimmermann, R., Zenisek, J., Brunner, M. & Kostov, G. Y.
IGJ Investment for Growth and Jobs 2014 - 2020
01.01.2016 → 31.12.2022
Project: Research Project
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Machine Learning based Data Stream Merging in Additive Manufacturing
Zenisek, J., Gröning, H., Wild, N. W., Huskic, A. & Affenzeller, M., 2022, In: Procedia Computer Science. 200, 200, p. 1422-1431 10 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Selective Laser Melting of AISI H10 (32CrMoV12-28) with substrate preheating for crack prevention
Wild, N., Giedenbacher, J., Huskic, A., Zenisek, J. & Wolfartsberger, J., 2022, In: Procedia Computer Science. 200, p. 1274-1281 8 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Shapley Value Based Variable Interaction Networks for Data Stream Analysis.
Zenisek, J., Dorl, S., Falkner, D., Gaisberger, L., Winkler, S. M. & Affenzeller, M., 2022, Computer Aided Systems Theory – EUROCAST 2022 - 18th International Conference, Revised Selected Papers. Moreno-Díaz, R., Pichler, F. & Quesada-Arencibia, A. (eds.). p. 130-138 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13789 LNCS).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
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Utilizing Interpretable Machine Learning to detect Dynamics in Energy Communities
Zenisek, J., Bachinger, F., Pitzer, E., Wagner, S. & Affenzeller, M., 2022, 34th European Modeling and Simulation Symposium, EMSS 2022. Affenzeller, M., Bruzzone, A. G., Jimenez, E., Longo, F. & Petrillo, A. (eds.). DIME UNIVERSITY OF GENOA, 042. (34th European Modeling and Simulation Symposium, EMSS 2022).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
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An Empirical Study of Task-Specific Limitations of the Overview+Detail Technique for Interactive Time Series Analysis
Friedl, J., Zimmer, B., Perkhofer, L., Zenisek, J., Hofer, P. & Jetter, H. C., 2021, In: Procedia Computer Science. 180, p. 628-638 11 p.Research output: Contribution to journal › Conference article › peer-review
Open Access3 Citations (Scopus)