Kevin Sidak, MSc
1090 Wien
Room : 3.44
Courses
Summer term 2026
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051031 VU Database Systems
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052300 VU Foundations of Data Analysis
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053031 LP Practical Course: Computer Science 2
Winter term 2025
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051031 VU Database Systems
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052300 VU Foundations of Data Analysis
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053021 LP Practical Course: Computer Science 1
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053031 LP Practical Course: Computer Science 2
Summer term 2025
-
051031 VU Database Systems
-
052300 VU Foundations of Data Analysis
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053021 LP Practical Course: Computer Science 1
-
053031 LP Practical Course: Computer Science 2
Publications
Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon. / Prabhakaran, Sandhya; Yapp, Clarence; Baker, Gregory J. et al.
In: Molecular Oncology, Vol. 19, No. 6, 06.2025, p. 1565-1581.
Publications: Contribution to journal › Article › Peer Reviewed
Cell2Cell: Explorative Cell Interaction Analysis in Multi-Volumetric Tissue Data. / Mörth, Eric; Sidak, Kevin; Maliga, Zoltan et al.
In: IEEE Transactions on Visualization and Computer Graphics, Vol. 31, 01.2025, p. 569-579.
Publications: Contribution to journal › Article › Peer Reviewed
Breaking the Reclustering Barrier in Centroid-based Deep Clustering. / Miklautz, Lukas; Klein, Timo; Sidak, Kevin et al.
arXiv, 2024.
Publications: Working paper › Preprint
Plasticity Loss in Deep Reinforcement Learning: A Survey. / Klein, Timo; Miklautz, Lukas; Sidak, Kevin et al.
arXiv, 2024.
Publications: Working paper › Preprint
Text-Guided Image Clustering. / Stephan, Andreas; Miklautz, Lukas; Sidak, Kevin et al.
18th Conference of the European Chapter of the Association for Computational Linguistics : Proceedings of the Conference, Vol. 1 (Long Papers). ed. / Yvette Graham; Matthew Purver. Kerrville: ACL Anthology, 2024. p. 2960-2976.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Adaptive Precision Training (AdaPT): A dynamic quantized training approach for DNNs. / Kummer, Lorenz; Sidak, Kevin; Reichmann, Tabea et al.
2023. 559 Paper presented at SIAM International Conference on Data Mining (SDM23), Minneapolis, United States.
Publications: Contribution to conference › Paper › Peer Reviewed
Info
Comment:
For less urgent matters, send a postcard to:
University of ViennaKevin Sidak
Währinger Straße 29
Vienna 1090
AustriaI like postcards
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