Katerina Hlaváčková - Schindler (Schindlerova) 个人学术档案

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引用	1508	494
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Claudia PlantProfessor of Computer Science, leader of research group Data Mining and Machine Learning, UniVie在 univie.ac.at 的电子邮件经过验证
Martin VejmelkaInstitute of Computer Science, Academy of Sciences of the Czech Republic在 cs.cas.cz 的电子邮件经过验证
Milan PalusInstitute of Computer Science of the Czech Academy of Sciences在 cs.cas.cz 的电子邮件经过验证
Věra KůrkováInstitute of Computer Science在 cs.cas.cz 的电子邮件经过验证
Manfred M. FischerProfessor Emeritus, Vienna University of Economics and Business在 wu.ac.at 的电子邮件经过验证
Joy BhattacharyaProfessor, Department of Psychology, Goldsmiths University of London在 gold.ac.uk 的电子邮件经过验证
Michel VerleysenUniversité catholique de Louvain, ICTEAM, EPL在 uclouvain.be 的电子邮件经过验证
Robert SablatnigProf. for Computer Vision, TU Wien在 cvl.tuwien.ac.at 的电子邮件经过验证
Martin KampelAssoc. Professor在 tuwien.ac.at 的电子邮件经过验证
Marcello SanguinetiDIBRIS - Universita' di Genova在 unige.it 的电子邮件经过验证
Sahar BehzadiHelmholtz Zentrum München在 helmholtz-muenchen.de 的电子邮件经过验证
Roman NerudaResearcher at Institute of Computer Science, Czech Academy of Sciences在 cs.cas.cz 的电子邮件经过验证
Valeriya NaumovaSimula Research Laboratory在 simula.no 的电子邮件经过验证
Daan R. ScheepensCentre for Biodiversity and Environment Research, UCL在 ucl.ac.uk 的电子邮件经过验证
Hamed BouzariNatus Medical在 natus.com 的电子邮件经过验证
Kevin WarwickEmeritus Professor, Coventry University & University of Reading在 coventry.ac.uk 的电子邮件经过验证
Thomas L. TouliasAthens University of Applied Sciences, Athens, Greece在 uniwa.gr 的电子邮件经过验证
Ylli SadikajPh.D. Candidate, University of Vienna在 univie.ac.at 的电子邮件经过验证
Lena G. M. BauerPhD candidate, Prae-Doc University of Vienna在 univie.ac.at 的电子邮件经过验证
Maximilian LeodolterPhD Candidate at Austrian Institute of Technology/ University of Vienna在 ait.ac.at 的电子邮件经过验证

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Katerina Hlaváčková - Schindler (Schindlerova)

其他姓名K. Schindlerova, K. Hlaváčková, K. Schindler-Hlavackova

Senior Scientist at Faculty of Computer Science, University of Vienna, Vienna, Austria

在 univie.ac.at 的电子邮件经过验证 - 首页

Causality statistics information theory machine learning neural networks


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	911	2007
Equivalence of Granger causality and transfer entropy: A generalization K Hlaváčková-Schindler Applied Mathematical Sciences 5 (73), 3637-3648, 2011	92	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	52	1993
An optimized RBF network for approximation of functions M Verleysen, K Hlaváčková	46	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	39	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	34	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	28	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 upper estimate of the error of approximation of continuous multivariable functions by KBF networks K Hlavácková European Symposium on Artificial Neural Networks (ESANN), 1995	12	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	11*	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	11	2013
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
Heterogeneous graphical Granger causality by minimum message length K Hlaváčková-Schindler, C Plant Entropy 22 (12), 1400, 2020	10	2020
Granger causality for heterogeneous processes S Behzadi, K Hlaváčková-Schindler, C Plant Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019	10	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	9	2015

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