Katerina Hlaváčková - Schindler (Schindlerova)

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Claudia PlantProfessor of Computer Science, leader of research group Data Mining and Machine Learning, UniVieVerified email at univie.ac.at
Martin VejmelkaInstitute of Computer Science, Academy of Sciences of the Czech RepublicVerified email at cs.cas.cz
Milan PalusInstitute of Computer Science of the Czech Academy of SciencesVerified email at cs.cas.cz
Manfred M. FischerProfessor Emeritus, Vienna University of Economics and BusinessVerified email at wu.ac.at
Joy BhattacharyaProfessor, Department of Psychology, Goldsmiths University of LondonVerified email at gold.ac.uk
Michel VerleysenUniversité catholique de Louvain, ICTEAM, EPLVerified email at uclouvain.be
Robert SablatnigProf. for Computer Vision, TU WienVerified email at cvl.tuwien.ac.at
Marcello SanguinetiDIBRIS - Universita' di GenovaVerified email at unige.it
Sahar BehzadiHelmholtz Zentrum MünchenVerified email at helmholtz-muenchen.de
Roman NerudaResearcher at Institute of Computer Science, ASCRVerified email at cs.cas.cz
Valeriya NaumovaSimula Research LaboratoryVerified email at simula.no
Hamed BouzariNatus MedicalVerified email at natus.com
Kevin WarwickEmeritus Professor, Coventry University & University of ReadingVerified email at coventry.ac.uk
Ylli SadikajPh.D. Candidate, University of ViennaVerified email at univie.ac.at
Lena G. M. BauerPhD candidate, Prae-Doc University of ViennaVerified email at univie.ac.at
Maximilian LeodolterPhD Candidate at Austrian Institute of Technology/ University of ViennaVerified email at ait.ac.at
Thomas L. TouliasAthens University of Applied Sciences, Athens, GreeceVerified email at uniwa.gr
Petr SojkaAssociate Professor of Computer Science, Masaryk UniversityVerified email at fi.muni.cz
Pablo VerdesCentro Int. Franco Argentino de Ciencias de la Informacion y de Sistemas (CIFASIS-CONICET / UNR)Verified email at cifasis-conicet.gov.ar
Antonín KučeraCharles universityVerified email at mbox.ms.mff.cuni.cz

Katerina Hlaváčková - Schindler (Schindlerova)

Other namesK. Schindlerova, K. Hlaváčková, Katerina H.-S.

Faculty of Computer Science, University of Vienna, Vienna, Austria

Verified email at univie.ac.at - Homepage

Causality statistics information theory machine learning neural networks


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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	847	2007
Equivalence of Granger causality and transfer entropy: A generalization K Hlaváčková-Schindler Applied Mathematical Sciences 5 (73), 3637-3648, 2011	83	2011
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	79	1998
Radial basis function networks K Hlaváčková, R Neruda Neural Network World 1 (93), 93-102, 1993	53	1993
An optimized RBF network for approximation of functions M Verleysen, K Hlaváčková	43	1994
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	38	1999
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	35	2001
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	26	2003
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	23	2001
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	23	2001
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	20	2007
Learning in RBF networks M Verleysen, K Hlaváčková-Schindler International Conference on Neural Networks, 199-204, 1996	19	1996
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	11	2000
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	11	1999
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	10	1995
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	9*	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	9	2013
Granger causality for heterogeneous processes S Behzadi, K Hlaváčková-Schindler, C Plant Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019	8	2019
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	8	2015
Causality in time series: Its detection and quantification by means of information theory K Hlaváčková-Schindler Information Theory and Statistical Learning, 183-207, 2009	8	2009

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