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Katerina Hlaváčková - Schindler (Schindlerova)
Katerina Hlaváčková - Schindler (Schindlerova)
Sonstige NamenK. Schindlerova, K. Hlaváčková, K. Schindler-Hlavackova
Senior Scientist at Faculty of Computer Science, University of Vienna, Vienna, Austria
Bestätigte E-Mail-Adresse bei univie.ac.at - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Causality detection based on information-theoretic approaches in time series analysis
K Hlaváčková-Schindler, M Paluš, M Vejmelka, J Bhattacharya
Physics Reports 441 (1), 1-46, 2007
8972007
Equivalence of Granger causality and transfer entropy: A generalization
K Hlaváčková-Schindler
Applied Mathematical Sciences 5 (73), 3637-3648, 2011
902011
Representations and rates of approximation of real-valued boolean functions by neural networks
V Kůrková, P Savický, K Hlaváčková
Neural Networks 11 (4), 651-659, 1998
791998
Radial basis function networks
K Hlaváčková, R Neruda
Neural Network World 1 (93), 93-102, 1993
521993
An optimized RBF network for approximation of functions
M Verleysen, K Hlaváčková
461994
A global search procedure for parameter estimation in neural spatial interaction modelling
MM Fischer, K Hlaváčková‐Schindler, M Reismann
Papers in Regional Science 78 (2), 119-134, 1999
401999
Computer aided classification of ceramics: Achievements and problems
S Adler, K., Kampel, M., Kastler, K., Penz, M., Sablatnig, R., Hlaváčková ...
6th International Workshop on Archaeology and Computers, 2001
352001
Neural network modeling of constrained spatial interaction flows: Design, estimation, and performance issues
MM Fischer, M Reismann, K Hlaváčková–Schindler
Journal of Regional Science 43 (1), 35-61, 2003
282003
Fitting of a closed planar curve representing a profile of an archaeological fragment
K Hlaváčková-Schindler, M Kampel, R Sablatnig
VAST '01: Proceedings of the 2001 Conference on Virtual Reality, Archeology …, 2001
232001
Fitting of a closed planar curve representing a profile of an archaeological fragment
K Hlaváčková-Schindler, M Kampel, R Sablatnig
Proceedings of the 2001 Conference on virtual reality, archeology, and …, 2001
232001
Mutual information estimation in higher dimensions: A speed-up of a k-nearest neighbor based estimator
M Vejmelka, K Hlaváčková-Schindler
International Conference on Adaptive and Natural Computing Algorithms, 790-797, 2007
212007
Learning in RBF networks
M Verleysen, K Hlaváčková-Schindler
International Conference on Neural Networks, 199-204, 1996
191996
An upper estimate of the error of approximation of continuous multivariable functions by KBF networks
K Hlavácková
European Symposium on Artificial Neural Networks (ESANN), 1995
121995
An incremental algorithm for parallel training of the size and the weights in a feedforward neural network
K Hlaváčková-Schindler, K Hlaváčková-Schindler, MM Fischer
Neural Processing Letters 11, 131-138, 2000
112000
Parameter estimation in neural spatial interaction modelling by a derivative free global optimization method
MM Fischer, M Reismann, K Hlaváčková-Schindler
Proceedings of the IV International Conference on Geocomputation …, 1999
111999
Granger Lasso Causal Models in Higher Dimensions-Application to Gene Expression Regulatory Networks
H Bouzari, K Hlaváčková-Schindler
ECML/PKDD 2013 Workshop Scalable Decision Making (SCALE), 2013
10*2013
Granger lasso causal models in higher dimensions-application to gene expression regulatory networks
K Hlaváčková-Schindler, H Bouzari
ECML/PKDD 2013 workshop scalable decision making: uncertainty, imperfection …, 2013
102013
Lasso Granger causal models: Some strategies and their efficiency for gene expression regulatory networks
K Hlaváčková-Schindler, S Pereverzyev
Decision Making: Uncertainty, Imperfection, Deliberation and Scalability, 91-117, 2015
92015
Granger causality for heterogeneous processes
S Behzadi, K Hlaváčková-Schindler, C Plant
Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019
82019
Causality in time series: Its detection and quantification by means of information theory
K Hlaváčková-Schindler
Information Theory and Statistical Learning, 183-207, 2009
82009
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