Items where Author is "Hlavackova-Schindler, Katerina"

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Number of items: 66.

Journal Paper

  • Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs
    Bakumenko, Alexander and Hlavackova-Schindler, Katerina and Plant, Claudia and Hubig, Nina ISSN Machine Learning Arxiv (2024)

  • Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length
    Hlavackova-Schindler, Katerina and Melnykova, Anna and Tubikanec, Irene pp. 1-26 ISSN 1532-4435 Microtome Publishing (2024)

  • Causal Inference for Heterogeneous Data and Information Theory
    Hlavackova-Schindler, Katerina ISSN 1099-4300 MDPI (2023)

  • Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short to medium range
    Scheepens, Daan and Schicker, Irene and Hlavackova-Schindler, Katerina and Plant, Claudia pp. 251-270 ISSN 1991-9603 Copernicus Publications (2023)

  • Causal Discovery in Hawkes Processes by Minimum Description Length
    Jalaldoust, Amirkasra and Hlavackova-Schindler, Katerina and Plant, Claudia CoRR, abs/22. ISSN 2331-8422 (2022)

  • Interpretable Gait Recognition by Granger Causality
    Balazia, Michal and Hlavackova-Schindler, Katerina and Sojka, Petr and Plant, Claudia CoRR, abs/22. ISSN 2331-8422 (2022)

  • Heterogeneous graphical Granger causality by minimum message length
    Hlavackova-Schindler, Katerina and Plant, Claudia pp. 1-21 ISSN 1099-4300 MDPI (2020)

  • Evaluating transfer entropy for normal and γ-order normal distributions
    Hlavackova-Schindler, Katerina and Toulias, Thomas and Kitsos, Christos pp. 1-20 ISSN 2231-0851 SCIENCEDOMAIN international (2016)

  • Prediction consistency of lasso regression does not need normal errors
    Hlavackova-Schindler, Katerina pp. 1-7 ISSN 2231-0851 SCIENCEDOMAIN international (2016)

  • Equivalence of Granger causality and transfer entropy: A generalization
    Hlavackova-Schindler, Katerina 3637 -3648 ISSN 1314-7552 Applied Mathematical Sciences, Hikari (2011)

  • Three bounds on the minimal singular value: A comparison
    Hlavackova-Schindler, Katerina pp. 3195-3199 ISSN 1312-885X (2010)

  • A new lower bound for the minimal singular value for real non-singular matrices by a matrix norm and determinant
    Hlavackova-Schindler, Katerina pp. 3189-3193 ISSN 1312-885X (2010)

  • Causality detection based on information-theoretic approaches in time series analysis
    Hlavackova-Schindler, Katerina and Palus, Milan and Vejmelka, Martin and Bhattacharya, Joydeep pp. 1-46 ISSN 0370-1573 Elsevier (2007)

  • Bounds on the complexity of neural‐network models and comparison with linear methods
    Hlavackova-Schindler, Katerina and Sanguineti, Marcello ISSN 1099-1115 (2003)

  • Neural network modeling of constrained spatial interaction flows: Design, estimation, and performance issues
    Fischer, Manfred M. and Reismann, Martin and Hlavackova-Schindler, Katerina pp. 35-61 ISSN 1467-9787 Wiley (2003)

  • An incremental algorithm for parallel training of the size and the weights in a feedforward neural network
    Hlavackova-Schindler, Katerina and Fischer, Manfred M. pp. 131-138 ISSN 1370-4621 Kluwer (2000)

  • A global search procedure for parameter estimation in neural spatial interaction modelling
    Fischer, M.M. and Hlavackova-Schindler, Katerina and Reismann, Martin ISSN 1435-5957 (1999)

  • Representations and rates of approximation of real-valued Boolean functions by neural networks
    Kurkova, Vera and Savicky, Petr and Hlavackova-Schindler, Katerina pp. 651-659 ISSN 0893-6080 Elsevier Science Ltd. (1998)

  • Placing spline knots in neural networks using splines as activation functions
    Hlavackova-Schindler, Katerina and Verleysen, Michel pp. 159-166 ISSN 0925-2312 Elsevier (1997)

  • Radial basis function networks
    Hlavackova-Schindler, Katerina and Neruda, Roman pp. 93-102 ISSN 1210-0552 (1993)

    • Paper in Conference Proceedings or in Workshop Proceedings

  • Detection of Meteorological Variables in a Wind Farm Influencing the Extreme Wind Speed by Heterogenerous Granger Causality
    Hlavackova-Schindler, Katerina and Schicker, Irene and Hoxhallari, Kejsi and Plant, Claudia In: ICLR 2024 Workshop: Tackling Climate Change with Machine Learning , May 7-11, 2024 , Vienna, Austria (2024)

  • 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 and Hoxhallari, Kejsi and Caumel Morales, Luis and Schicker, Irene and Plant, Claudia In: EGU 2024 - Many shades of causality analysis in Earth Sciences: Methods, challenges and applications , May, 18, 2024 , Vienna, Austria (2024)

  • Pattern Discovery in an EEG Database of Depression Patients: Preliminary Results
    Hlavackova-Schindler, Katerina and Pacher, Christina and Plant, Claudia and Lazarenko, Mykola and Palus, Milan and Hlinka, Jaroslav and Kathpalia, Aditi and Brunovsky, Martin In: Measurement , 29.-31.5.2023 , Smolenice, Slovakia (2023)

  • Influence of meteorological parameters in wind storms by Granger causal analysis
    Fuchs, Andreas and Hlavackova-Schindler, Katerina and Plant, Claudia and Schicker, Irene In: Wind Energy Science Conference 2023 , 23-26.5.2023 , Glasgow, UK (2023)

  • AWT - Clustering Meteorological Time Series Using an Aggregated Wavelet Tree
    Pacher, Christina and Schicker, Irene and DeWit, Rosmarie and Hlavackova-Schindler, Katerina and Plant, Claudia In: The 9th IEEE International Conference on Data Science and Advanced Analytics 2022 , October 13-16, 2022 , Shenzhen, China (2022)

  • The influence of meteorological parameters on wind speed extreme events: A causal inference approach
    Hlavackova-Schindler, Katerina and Fuchs, Andreas and Plant, Claudia and Schicker, Irene and DeWit, Rosmarie In: The General Assembly 2022 of the European Geosciences Union , 23-27.5.2022 , Vienna, Austria (2022)

  • Causal Discovery in Hawkes Processes by Minimum Description Length
    Jalaldoust, Amirkasra and Hlavackova-Schindler, Katerina and Plant, Claudia In: The 36th AAAI Conference on Artificial Intelligence 2022 , 22 Feb - 01 Mar 2022 , Vancouver, British Columbia, Canada (2022)

  • Interpretable Gait Recognition by Granger Causality
    Balazia, Michal and Hlavackova-Schindler, Katerina and Sojka, Petr and Plant, Claudia In: The 26th International Conference on Pattern Recognition , August 21-25, 2022 , Montréal, Québec, Canada (2022)

  • Poisson graphical Granger causality by minimum message length
    Hlavackova-Schindler, Katerina and Plant, Claudia In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 , 14-18 Sep 2020 , Ghent, Belgium (2020)

  • Graphical Granger causality by information-theoretic criteria
    Hlavackova-Schindler, Katerina and Plant, Claudia In: 24th European Conference on Artificial Intelligence 2020 , 29 Aug - 08 Sep 2020 , Santiago de Compostela (2020)

  • Graphical Granger causality for detection of temporal anomalies in EEG Data
    Kovac, Anton and Hlavackova-Schindler, Katerina In: Conference Cognition and Artificial Life , 31.5-2.6. 2017 , Trencianske Teplice. Slovakia (2017)

  • Dependency anomaly detection for heterogeneous time series: A Granger-Lasso approach
    Behzadi, Sahar and Hlavackova-Schindler, Katerina and Plant, Claudia In: IEEE International Conference on Data Mining (ICDM) 2017 , 18-21 Nov 2017 , New Orleans, USA (2017)

  • Granger Causality for ill-posed problems: Methods, ideas and application in life sciences
    Hlavackova-Schindler, Katerina In: International Conference on Stastistics and Causality 2014 , 23-24.5.2014 , Vienna, Austria (2014)

  • Granger lasso causal models in higher dimensions: Application to gene expression regulatory networks
    Hlavackova-Schindler, Katerina and Bouzari, Hamed In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2013 , September 2013 , Prague, Czech Republic (2013)

  • Tikhonov regularization parameter in reproducing kernel Hilbert spaces with respect to the sensitivity of the solution
    Hlavackova-Schindler, Katerina In: International Conference on Artificial Neural Networks (ICANN) 2008 , September 2008 , Prague, Czech Republic (2008)

  • Computational intelligence approaches to causality detection
    Hlavackova-Schindler, Katerina and Verdes, Pablo F. In: European Symposium on Artificial Neural Networks (ESANN) , 25-27.4.2007 , Brugges, Belgium (2007)

  • Mutual information estimation in higher dimensions: A speed-up of a k-nearest neighbor based estimator
    Vejmelka, Martin and Hlavackova-Schindler, Katerina In: Mutual Information Estimation in Higher Dimensions: A Speed-Up of a k-Nearest Neighbor Based Estimator. , April 2007 , Warsaw, Poland (2007)

  • Some comparisons of the complexity of neural network models and linear methods by means of metric entropy
    Hlavackova-Schindler, Katerina In: TED ESF Workshop, CMP’04 , 2004 , Prague, Czech Republic (2004)

  • Computer aided classification of ceramics: Achievements and problems
    Adler, K. and Kampel, M. and Kastler, K. and Penz, M. and Sablatnig, R. and Hlavackova-Schindler, Katerina and Tosovic, S. In: Computer Aided Classification of Ceramics: Achievements and Problems Computer Aided Classification of Ceramics: Achievements and Problems. , 2001 , Vienna, Austria (2001)

  • Some comparisons between linear approximation and approximation by neural networks
    Sanguineti, Marcello and Hlavackova-Schindler, Katerina In: International Conference onArtificial Neural Nets and Genetic Algorithms, Slovenia, 1999 , 1999 , Slovenia (1999)

  • On the rates of nonlinear and linear approximation
    Hlavackova-Schindler, Katerina and Sanguineti, Marcello In: 3rd European IEEE Workshop CMP'98 , September 7-9, 1998 , Prague, Czechia (1998)

  • Algorithm of incremental approximation using variation of a function with respect to a subset
    Hlavackova-Schindler, Katerina and Sanguineti, M. In: International ICSC/IFAC Symposium on Neural Computation (NC'98) , 1998-09-01 , Vienna, Austria (1998)

  • Feed-forward network with one hidden layer and their rates of approximation
    Hlavackova-Schindler, Katerina In: UKACC International Conference on CONTROL ‘98 , 1-4 September, 1998 , Swansea, United Kingdom (1998)

  • On the rates of the linear and non-linear approximations.
    Hlavackova-Schindler, Katerina and Sanguineti, M. In: 3rd IEEE European Workshop on Computer-Intensive Methods in Control and Signal Processing 1998 , 1998 , Prague, Czech Republic (1998)

  • On the rates of the linear and non-linear approximations.
    Hlavackova-Schindler, Katerina and Sanguineti, M. In: 3rd IEEE European Workshop on Computer-Intensive Methods in Control and Signal Processing 1998 , 1998 , Prague, Czech Republic (1998)

  • Upper bounds on the approximation rates of real-valued Boolean functions by neural networks
    Hlavackova-Schindler, Katerina and Kurkova, Vera and Savicky, Petr In: International Conference on Artificial Neural Nets and Genetic Algorithms , 1997 , Norwich, England (1997)

  • Rates of approximation of real-valued Boolean functions by neural networks
    Hlavackova-Schindler, Katerina and Kurkova, Vera In: European Symposium on Artificial Neural Networks 1996 , April 1997 , Brugges, Belgium (1996)

  • Rates of approximation of real-valued Boolean functions by neural networks
    Hlavackova-Schindler, Katerina and Kurkova, Vera In: European Symposium on Artificial Neural Networks 1996 , April 1997 , Brugges, Belgium (1996)

  • Learning in RBF networks
    Verleysen, Michel and Hlavackova-Schindler, Katerina In: Learning in RBF Networks , July 3-6, 1996 , Washington, D.C. (1996)

  • An upper estimate of the error of approximation of continuous multivariable functions by KBF networks
    Hlavackova-Schindler, Katerina In: European Symposium on Artificial Neural Networks (ESANN) 1995 , April 1995 , Brugges, Belgium (1995)

  • An optimized RBF network for approximation of functions
    Verleysen, Michel and Hlavackova-Schindler, Katerina In: European Symposium on Artificial Neural Networks (ESANN) 1994 , April 1994 , Brugges, Belgium (1994)

  • Approximation of continuous functions by RBF and KBF functions
    Kurkova, Vera and Hlavackova-Schindler, Katerina In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 1994 , April 1994 , Brugges, Belgium (1994)

    • Book

  • Causal Inference for Heterogeneous Data and Information Theory
    Hlavackova-Schindler, Katerina and Sokolovska, Nataliya and Wuillemin, Pierre-Henri and Xie, Feng and He, Yangbo and Geng, Zhi and Chen, Zhengming and Hou, Ru and Zhang, Kun and Liu, Shuo Shuo and Zhu, Yeying and Rostami, Mehdi and Saarela, Olli and Bodory, Hugo and Busshoff, Hannah and Lechner, Michael and Dorie, Vincent and Perrett, George and Hill, Jennifer L. and Goodrich, Benjamin and Wang, Xu and Shojaie, Ali and Rehder, Bob and Davis, Zachary J. and Bramley, Neil and Galhotra, Sainyam and Shanmugam, Karthikeyan and Sattigeri, Prasanna and Varshney, Kush R. and Yu, Xuewen and Smith, Jim O. and Mahadevan, Sridhar and Andree, Bo Pieter Johannes Entropy: Information Theory, Probability and Statistics MDPI, St. Alban-Anlage 66, 4052 Basel, Switzerland ISBN 978-3-0365-8050-0/978-3-0365-8051-7 (2023)

    • Book Section/Chapter

  • Multi-penalty regularization for detecting relevant variables
    Hlavackova-Schindler, Katerina and Naumova, Valeriya and Pereverzyev Jr., Sergiy In: Recent Applications of Harmonic Analysis to Function Spaces, Differential Equations, and Data Science. Novel Methods in Harmonic Analysis, 2 Birkhäuser Basel, Basel, pp. 889-916 ISBN 2296-5009 (2017)

  • Granger causality for ill-posed problems: Ideas, methods, and application in life science
    Hlavackova-Schindler, Katerina and Naumova, Valeriya and Pereverzyev Jr., Sergiy In: Statistics and Causality. Wiley Series in Probability and Statistics, 1 Wiley, USA, pp. 248-276 ISBN 978-1-118-94704-3 (2016)

  • Lasso Granger causal models: Some strategies and their efficiency for gene expression regulatory networks
    Hlavackova-Schindler, Katerina and Pereverzyev Jr., Sergiy In: Decision Making: Uncertainty, Imperfection, Deliberation and Scalability. Studies in Computational Intelligence, 1 Springer, pp. 91-117 (2015)

  • Graphical lasso Granger method with 2-level-thresholding for recovering causality networks
    Pereverzyev Jr., Sergiy and Hlavackova-Schindler, Katerina In: System Modeling and Optimization. Springer, pp. 220-229 (2014)

  • The assumption of non-Gaussianity in natural and social sciences and its influence on detection of causal relationships
    Hlavackova-Schindler, Katerina In: Theoretical and Methodological Approaches to Social Sciences and Knowledge Management. Intech, pp. 77-94 ISBN 978-953-51-0687-6 (2012)

  • Causality in time series: Its detection and quantification by means of information theory
    Hlavackova-Schindler, Katerina In: Information Theory and Statistical Learning. Springer, pp. 183-207 ISBN 978-0-387-84816-7 (2009)

  • Neural network modelling of constrained spatial information flows: Design, estimation and performance issues
    Fischer, Manfred M. and Reismann, Martin and Hlavackova-Schindler, Katerina In: Spatial Analysis and GeoComputation: Selected Essays. Springer, pp. 241-268 ISBN 978-3-540-35730-8 (2006)

  • Spatial interaction modelling: Neural network methods and global optimization
    Fischer, M.M. and Hlavackova-Schindler, Katerina In: Evolving Cities: Geocomputation In Territorial Planning. Ashgate Publishing Company Brookfield, VT, USA, 2004, pp. 45-61 ISBN 0754641945 (2004)

  • Fitting of a closed planar curve representing a profile of an archaeological fragment
    Hlavackova-Schindler, Katerina and Kampel, Martin and Sablatnig, Robert In: Proceedings of the 2001 Conference on Virtual Reality, Archaeology, and Cultural Heritage. Proceedings of the 2001 conference on Virtual reality, archaeology, and cultural heritage, 1 (1) ACM, New York, USA (2002)

  • An evolutionary mutation-based algorithm for weight training in neural networks for telecommunication flow modelling
    Fischer, M.M. and Hlavackova-Schindler, Katerina and Reismann, Martin In: CONCURRENT SYSTEMS ENGINEERING SERIES. CONCURRENT SYSTEMS ENGINEERING SERIES, 55 IOS Press, pp. 54-59 ISBN 905199477X (1999)

  • Rates of approximation in a feedforward network depend on the types of computational unit
    Hlavackova-Schindler, Katerina In: Dealing with Complexity: A Neural Networks Approach. Springer, pp. 205-220 (1998)

  • Rates of approximation in a feedforward network depend on the types of computational unit
    Hlavackova-Schindler, Katerina In: Dealing with Complexity: A Neural Networks Approach. Springer, pp. 205-220 (1998)

    • Technical Report

  • An adapted deep convolutional RNN model for spatio-temporal prediction of wind speed extremes in the short-to-medium range for wind energy applications
    Scheepens, Daan and Schicker, Irene and Hlavackova-Schindler, Katerina and Plant, Claudia Technical Report. UNSPECIFIED (Submitted) (2022)

    • This list was generated on Thu Nov 21 16:50:47 2024 CET.
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