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Jakub Kuzilek

Showing results (1-10 of 5) with videos related to

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Medical Engineering & Physics|August 28, 2012
Electrocardiogram beat detection enhancement using independent component analysisJakub Kuzilek, Lenka Lhotska
Scientific Data|November 29, 2017
Open University Learning Analytics datasetJakub Kuzilek, Martin Hlosta, Zdenek Zdrahal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Comparison of JADE and canonical correlation analysis for ECG de-noisingJakub Kuzilek, Vaclav Kremen, Lenka Lhotska
Plos One|June 7, 2014
Independent component analysis and decision trees for ECG holter recording de-noisingJakub Kuzilek, Vaclav Kremen, Filip Soucek, et al.
Wiley Interdisciplinary Reviews. Data Mining and Knowledge Discovery|July 28, 2023
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analyticsFernando Marmolejo-Ramos, Mauricio Tejo, Marek Brabec, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Medical Engineering & Physics|August 28, 2012
Electrocardiogram beat detection enhancement using independent component analysisJakub Kuzilek, Lenka Lhotska
Scientific Data|November 29, 2017
Open University Learning Analytics datasetJakub Kuzilek, Martin Hlosta, Zdenek Zdrahal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Comparison of JADE and canonical correlation analysis for ECG de-noisingJakub Kuzilek, Vaclav Kremen, Lenka Lhotska
Plos One|June 7, 2014
Independent component analysis and decision trees for ECG holter recording de-noisingJakub Kuzilek, Vaclav Kremen, Filip Soucek, et al.
Wiley Interdisciplinary Reviews. Data Mining and Knowledge Discovery|July 28, 2023
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analyticsFernando Marmolejo-Ramos, Mauricio Tejo, Marek Brabec, et al.
Pageof 1