Univ.-Prof. Dipl.-Inform.Univ. Dr. Claudia Plant
1090 Wien
Room : 3.38
Courses
Winter term 2026
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052300 VU Foundations of Data Analysis
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052311 VU Data Mining
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053021 LP Practical Course: Computer Science 1
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053031 LP Practical Course: Computer Science 2
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053049 SE Master Seminar
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500501 SE Doctoral Research Seminar - Data and Knowledge
Summer term 2026
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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
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053049 SE Master Seminar
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500501 SE Doctoral Research Seminar - Data and Knowledge
Publications
The spatio-temporal visualization tool HMMLVis in renewable energy applications. / Wöß, Rainer (Corresponding author); Hlaváčková-Schindler, Kateřina (Corresponding author); Schicker, Irene (Corresponding author) et al.
In: Geoscientific Model Development, Vol. 19, No. 6, 25.03.2026, p. 2385-2405.
Publications: Contribution to journal › Article › Peer Reviewed
EEG-based classification in psychiatry using motif discovery. / Kraljevska, Melanija; Hlavackova-Schindler, Katerina (Corresponding author); Miklautz, Lukas et al.
In: Neuroscience Informatics, Vol. 6, No. 1, 100242, 03.2026.
Publications: Contribution to journal › Article › Peer Reviewed
Which meteorological parameters influence extreme wind speed in a wind farm? A heterogeneous Granger causality approach. / Hlaváčková-Schindler, Kateřina (Corresponding author); Wöss, Rainer; Schicker, Irene et al.
In: Environmental Data Science, Vol. 5, e3, 09.02.2026, p. 1-42.
Publications: Contribution to journal › Article › Peer Reviewed
Deep Synchronisation-based Clustering. / Bauer, Lena; Ebrahim, Peter Emad Salah Farag; Weber, Pascal et al.
The 26th IEEE International Conference on Data Mining (ICDM 2026), 12- 15 November, 2026, in Shenyang, Liaoning, China. IEEE, 2026.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Understanding and improving hyperbolic deep reinforcement learning. / Klein, Timo (Corresponding author); Lang, Thomas; Shkabrii, Andrii et al.
The 14th International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil, 23-27 April, 2026. 2026. p. 92200-92235.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Ultrametric Cluster Hierarchies: I Want ‘em All! / Draganov, Andrew; Weber, Pascal; Jørgensen, Rasmus Halfdan et al.
2025. Paper presented at 39th Conference on Neural Information Processing Systems, San Diego, California, United States.
Publications: Contribution to conference › Paper › Peer Reviewed
Parameter Selection for DBSCAN: Insights from Persistent Homology. / Beer, Anna; Kuznetsova, Ekaterina; Plant, Claudia.
ECAI 2025 : 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy – Including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025). ed. / Inês Lynce; Nello Murano; Mauro Vallati; Serena Villata; Federico Chesani; Michela Milano; Andrea Omicini; Mehdi Dastani. Vol. 413 IOS Press, 2025. p. 3250-3257 (Frontiers in Artificial Intelligence and Applications).
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Empowering marginalized communities through the digital transformation course. / Yüksel-Arslan, Pelin (Corresponding author); Plant, Claudia; Kayali, Fares.
In: Frontiers in Education, Vol. 10, 1534104, 24.01.2025.
Publications: Contribution to journal › Review › Peer Reviewed
Causal discovery among wind-related variables in a wind farm under extreme wind speed scenarios: Comparison of results using Granger causality and interactive k-means clustering. / Hlavackova-Schindler, Katerina ; Hoxhallari, Kejsi; Morales, Luis Caumel et al.
2025.
Publications: Other publication › Other
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks. / Chen, Zhaoliang; Wu, Zhihao; Sadikaj, Ylli et al.
In: IEEE Transactions on Knowledge & Data Engineering, Vol. 37, No. 9, 2025, p. 4948-4961.
Publications: Contribution to journal › Article › Peer Reviewed
Projects
Clustering of Smart-Meter Data
Learning Synchronization Patterns in Neural Signal
Hybrid Computational Sciences
Knowledge-infused Deep Learning for Natural Language Processing
Talks
Sc-GRIP: a Graph Convolutional Approach to Infer Gene Interaction Polarity from Single-Cell Data
Application of Deep Clustering Algorithms
Clustering Methods for Biomedical Applications
Information-theoretic Clustering Methods for Neuroscience Applications
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