RNDr. CSc. Katerina Schindlerova, Privatdoz.
1090 Wien
Room : 3.43
Courses
Winter term 2026
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051031 VU Database Systems
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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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053039 VU Academic Research and Writing
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053049 SE Master Seminar
Summer term 2026
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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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053039 VU Academic Research and Writing
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053049 SE Master Seminar
Winter term 2025
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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
Publications
Interpretable Gait Recognition by Granger Causality. / Balazia, Michal; Hlavácková-Schindler, Katerina; Sojka, Petr et al.
26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022. Piscataway, NJ: IEEE, 2022. p. 1069-1075.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
A deep CNN model for medium-range spatio-temporal wind speed prediction for wind energy applications. / Hlavackova-Schindler, Katerina; Scheepens, Daan; Plant, Claudia et al.
2021. Paper presented at EMS Annual Meeting European Meteorological Society.
Publications: Contribution to conference › Paper
Heterogeneous Graphical Granger Causality by Minimum Message Length. / Hlavackova-Schindler, Katerina; Plant, Claudia.
In: Entropy, Vol. 22, No. 12, 1400, 11.12.2020.
Publications: Contribution to journal › Article › Peer Reviewed
Poisson Graphical Granger Causality by Minimum Message Length. / Hlavackova-Schindler, Katerina; Plant, Claudia.
European Conference on Machine Learning and Principles of Knowledge Discovery in Databases. ed. / Tilj De Bie. Belgium, Ghent, 2020. p. 1.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Graphical Granger Causality by Information-Theoretic Criteria. / Hlavackova-Schindler, Katerina; Plant, Claudia.
ECAI 2020: 24th European Conference on Artificial Intelligence, 29 August–8 September 2020, Santiago de Compostela, Spain – Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020). ed. / G De Giacomo; A Catala; B Dilkina; M Milano; S Barro; A Bugarin; J Lang. IOS Press, 2020. p. 1459-1466 (Frontiers in Artificial Intelligence and Applications, Vol. 325).
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
The Data Mining Group at University of Vienna. / Altinigneli, Muzaffer Can; Bauer, Lena G. M.; Behzadi, Sahar et al.
In: Datenbank-Spektrum, Vol. 20, 01.03.2020, p. 71-79.
Publications: Contribution to journal › Article › Peer Reviewed
Granger Causality for Heterogeneous Processes. / Behzadi Soheil, Sahar; Hlavackova-Schindler , Katerina; Plant, Claudia.
Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III. ed. / Qiang Yang; Zhi-Hua Zhou; Zhiguo Gong; Min-Ling Zhang; Sheng-Jun Huang. Cham: Springer, 2019. p. 463-475 (Lecture Notes in Computer Science, Vol. 11441).
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Multi-Penalty Regularization for Detecting Relevant Variables. / Hlavackova-Schindler, Katerina (Corresponding author); Naumova, Valeriya; Pereverzyev Jr., Sergiy .
Recent Applications of Harmonic Analysis to Function Spaces, Differential Equations, and Data Science. ed. / I. Pesenson; Q.T. Le Gia; A. Mayeli; H. Mhaskar; D.-X. Zhou. Basel: Birkhäuser, 2017. p. 889-916 (Applied and Numerical Harmonic Analysis, Vol. 2).
Publications: Contribution to book › Other contribution to book › Peer Reviewed
Dependency anomaly detection for heterogeneous time series: A Granger-Lasso approach. / Behzadi Soheil, Sahar; Hlavackova-Schindler, Katerina; Plant, Claudia.
IEEE International Conference on Data Mining (ICDM) 2017. ed. / Raju Gottumukkala; George Karypis; Vijay Raghavan; Xindong Wu; Lucio Miele; Srinivas Aluru; Xia Ning; Guozhu Dong. 2017. p. 1090-1099.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Prediction Consistency of Lasso Regression Does Not Need Normal Errors. / Hlavackova-Schindler, Katerina.
In: British Journal of Mathematics and Computer Science, Vol. 19, No. 4, 28.10.2016, p. 1-7.
Publications: Contribution to journal › Short communication › Peer Reviewed
Projects
Learning Synchronization Patterns in Neural Signal
Plant, C. (Project Lead) & Schindlerova, K. (Co-Lead)
1/10/21 → 30/09/24
Project: Research funding
Talks
Granger causality for ill-posed problems
Schindlerova, K. (Speaker)
Activity: Talks and presentations › Talk or oral contribution › Other
Info
News:
If you are interested in collaboration on causal inference (PhD, master or other), please contact me directly.
Hours:
by appointment;
If you are interested in collaboration on causal inference (PhD, master or other), please contact me directly.Comment:
If you are interested in collaboration on causal inference (PhD, master or other), please contact me directly.
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