Jakub Kuzilek
Jakub Kuzilek
Senior Researcher | Computer Science Education / Computer Science and Society Research Group
Verified email at hu-berlin.de - Homepage
Cited by
Cited by
Open university learning analytics dataset
J Kuzilek, M Hlosta, Z Zdrahal
Scientific data 4 (1), 1-8, 2017
OU Analyse: analysing at-risk students at The Open University
J Kuzilek, M Hlosta, D Herrmannova, Z Zdrahal, J Vaclavek, A Wolff
Learning Analytics Review, 1-16, 2015
Developing predictive models for early detection of at-risk students on distance learning modules
A Wolff, Z Zdrahal, D Herrmannova, J Kuzilek, M Hlosta
Data driven approach to ECG signal quality assessment using multistep SVM classification
J Kužílek, M Huptych, V Chudáček, J Spilka, L Lhotská
2011 Computing in Cardiology, 453-455, 2011
Simple scoring system for ECG quality assessment on android platform
V Chudáček, L Zach, J Kužílek, J Spilka, L Lhotská
2011 Computing in Cardiology, 449-451, 2011
Independent component analysis and decision trees for ECG holter recording de-noising
J Kuzilek, V Kremen, F Soucek, L Lhotska
PLoS One 9 (6), e98450, 2014
Modelling student online behaviour in a virtual learning environment
M Hlosta, D Herrmannova, L Vachova, J Kuzilek, Z Zdrahal, A Wolff
arXiv preprint arXiv:1811.06369, 2018
Binary social impact theory based optimization and its applications in pattern recognition
M Macaš, AP Bhondekar, R Kumar, R Kaur, J Kuzilek, V Gerla, L Lhotská, ...
Neurocomputing 132, 85-96, 2014
Data literacy for learning analytics
A Wolff, J Moore, Z Zdráhal, M Hlosta, J Kuzilek
Proceedings of the Sixth International Conference on Learning Analytics …, 2016
Electrocardiogram beat detection enhancement using Independent Component Analysis
J Kuzilek, L Lhotska
Medical engineering & physics 35 (6), 704-711, 2013
Advanced signal processing techniques for fetal ECG analysis
J Kuzilek, L Lhotska
Computing in Cardiology 2013, 177-180, 2013
Detection of inferior myocardial infarction: a comparison of various decision systems and learning algorithms
J Spilka, V Chudáček, J Kužílek, L Lhotská, M Hanuliak
2010 Computing in Cardiology, 273-276, 2010
Processing holter ECG signal corrupted with noise: Using ICA for QRS complex detection
J Kužílek, L Lhotská, M Hanuliak
2010 3rd International Symposium on Applied Sciences in Biomedical and …, 2010
Student drop-out modelling using virtual learning environment behaviour data
J Kuzilek, J Vaclavek, V Fuglik, Z Zdrahal
European conference on technology enhanced learning, 166-171, 2018
Linear Bayes classification for mortality prediction
M Macaš, J Kuzilek, T Odstrčilík, M Huptych
2012 Computing in Cardiology, 473-476, 2012
Evaluating weekly predictions of at-risk students at the open university: results and issues
D Herrmannova, M Hlosta, J Kuzilek, Z Zdrahal
Independent component analysis: Applications in ecg signal processing
J Kužílek
OU Analyse: Analysing at-risk students at the Open University. Learning Analytics Review, no. LAK15-1
J Kužílek, M Hlosta, D Herrmanová, Z Zdrahal, J Václavek, A Wolff
Dostupné z http://www. laceproject. eu/publications/analysing-at-risk …, 2015
Comparison of jade and canonical correlation analysis for ecg de-noising
J Kuzilek, V Kremen, L Lhotska
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
An automatic method for holter ECG denoising using ICA
J Kuzilek, L Lhotska, M Hanuliak
Proceedings of the 4th International Symposium on Applied Sciences in …, 2011
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