Katerina Hlavácková-Schindler

According to our database, Katerina Hlavácková-Schindler authored at least 28 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length.

Katerina Hlavácková-Schindler, Anna Melnykova, Irene Tubikanec

J. Mach. Learn. Res., 2024

Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs.

Alexander Bakumenko, Katerina Hlavácková-Schindler, Claudia Plant, Nina C. Hubig

CoRR, 2024

2023

Causal Inference for Heterogeneous Data and Information Theory.

Katerina Hlavácková-Schindler

Entropy, June, 2023

2022

Interpretable Gait Recognition by Granger Causality.

Michal Balazia, Katerina Hlavácková-Schindler, Petr Sojka, Claudia Plant

Proceedings of the 26th International Conference on Pattern Recognition, 2022

AWT - Clustering Meteorological Time Series Using an Aggregated Wavelet Tree.

Christina Pacher, Irene Schicker, Rosmarie deWit, Katerina Hlavácková-Schindler, Claudia Plant

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Causal Discovery in Hawkes Processes by Minimum Description Length.

Amirkasra Jalaldoust, Katerina Hlavácková-Schindler, Claudia Plant

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Heterogeneous Graphical Granger Causality by Minimum Message Length.

Katerina Hlavácková-Schindler, Claudia Plant

Entropy, 2020

The Data Mining Group at University of Vienna.

Muzaffer Can Altinigneli, Lena Greta Marie Bauer, Sahar Behzadi, Robert Fritze, Katerina Hlavácková-Schindler, Maximilian Leodolter, Lukas Miklautz, Martin Perdacher, Ylli Sadikaj, Benjamin Schelling, Claudia Plant

Datenbank-Spektrum, 2020

Poisson Graphical Granger Causality by Minimum Message Length.

Katerina Hlavácková-Schindler, Claudia Plant

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Graphical Granger Causality by Information-Theoretic Criteria.

Katerina Hlavácková-Schindler, Claudia Plant

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Granger Causality for Heterogeneous Processes.

Sahar Behzadi, Katerina Hlavácková-Schindler, Claudia Plant

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2017

Dependency Anomaly Detection for Heterogeneous Time Series: A Granger-Lasso Approach.

Sahar Behzadi, Katerina Hlavácková-Schindler, Claudia Plant

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2015

Lasso Granger Causal Models: Some Strategies and Their Efficiency for Gene Expression Regulatory Networks.

Katerina Hlavácková-Schindler, Sergiy Pereverzyev Jr.

Proceedings of the Decision Making: Uncertainty, Imperfection, 2015

2013

Graphical Lasso Granger Method with 2-Levels-Thresholding for Recovering Causality Networks.

Sergiy Pereverzyev Jr., Katerina Hlavácková-Schindler

Proceedings of the System Modeling and Optimization, 2013

2008

Tikhonov Regularization Parameter in Reproducing Kernel Hilbert Spaces with Respect to the Sensitivity of the Solution.

Katerina Hlavácková-Schindler

Proceedings of the Artificial Neural Networks, 2008

2007

Mutual Information Estimation in Higher Dimensions: A Speed-Up of a <i>k</i> -Nearest Neighbor Based Estimator.

Martin Vejmelka, Katerina Hlavácková-Schindler

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Computational Intelligence approaches to causality detection.

Katerina Hlavácková-Schindler, Pablo F. Verdes

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2001

Fitting of a closed planar curve representing a profile of an archaeological fragment.

Katerina Hlavácková-Schindler, Martin Kampel, Robert Sablatnig

Proceedings of the 2001 Conference on Virtual Reality, 2001

2000

An Incremental Algorithm for Parallel Training of the Size and the Weights in a Feedforward Neural Network.

Katerina Hlavácková-Schindler, Manfred M. Fischer

Neural Process. Lett., 2000

1999

Some Comparisons Between Linear Approximation and Approximation by Neural Networks.

Marcello Sanguineti, Katerina Hlavácková-Schindler

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1999

1998

Representations and rates of approximation of real-valued Boolean functions by neural networks.

Vera Kurková, Petr Savický, Katerina Hlavácková

Neural Networks, 1998

Algorithm of Incremental Approximation Using Variation of a Function with Respect to a Subset.

Katerina Hlavácková, Marcello Sanguineti

Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

1997

Placing spline knots in neural networks using splines as activation functions.

Katerina Hlavácková, Michel Verleysen

Neurocomputing, 1997

Upper Bounds on the Approximation Rates of Real-valued Boolean Functions by Neural Networks.

Katerina Hlavácková, Vera Kurková, Petr Savický

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

1996

Rates of approximation of real-valued boolean functions by neural networks.

Katerina Hlavácková, Vera Kurková

Proceedings of the 4th European Symposium on Artificial Neural Networks, 1996

1995

An upper estimate of the error of approximation of continuous multivariable functions by KBF networks.

Katerina Hlavácková

Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

1994

An optimized RBF network for approximation of functions.

Michel Verleysen, Katerina Hlavácková

Proceedings of the 2nd European Symposium on Artificial Neural Networks, 1994

Approximation of continuous functions by RBF and KBF networks.

Vera Kurková, Katerina Hlavácková

Proceedings of the 2nd European Symposium on Artificial Neural Networks, 1994