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Hendrik Blockeel

Showing results (1-10 of 7) with videos related to

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Journal of Integrative Bioinformatics|September 6, 2012
Predicting genes involved in human cancer using network contextual informationHossein Rahmani, Hendrik Blockeel, Andreas Bender
Evolutionary Bioinformatics Online|May 24, 2013
Top-down clustering for protein subfamily identificationEduardo P Costa, Celine Vens, Hendrik Blockeel
Scientific Reports|August 18, 2017
Rapid phenotypic individualization of bacterial sister cellsSander K Govers, Antoine Adam, Hendrik Blockeel, et al.
Frontiers in Artificial Intelligence|August 11, 2023
Decision trees: from efficient prediction to responsible AIHendrik Blockeel, Laurens Devos, Benoît Frénay, et al.
BMC Bioinformatics|January 5, 2010
Predicting gene function using hierarchical multi-label decision tree ensemblesLeander Schietgat, Celine Vens, Jan Struyf, et al.
Plos Computational Biology|April 24, 2018
A machine learning based framework to identify and classify long terminal repeat retrotransposonsLeander Schietgat, Celine Vens, Ricardo Cerri, et al.
Studies in Health Technology and Informatics|September 12, 2009
Dynamic data analysis and data mining for prediction of clinical stabilityKristien Van Loon, Fabian Guiza, Geert Meyfroidt, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Journal of Integrative Bioinformatics|September 6, 2012
Predicting genes involved in human cancer using network contextual informationHossein Rahmani, Hendrik Blockeel, Andreas Bender
Evolutionary Bioinformatics Online|May 24, 2013
Top-down clustering for protein subfamily identificationEduardo P Costa, Celine Vens, Hendrik Blockeel
Scientific Reports|August 18, 2017
Rapid phenotypic individualization of bacterial sister cellsSander K Govers, Antoine Adam, Hendrik Blockeel, et al.
Frontiers in Artificial Intelligence|August 11, 2023
Decision trees: from efficient prediction to responsible AIHendrik Blockeel, Laurens Devos, Benoît Frénay, et al.
BMC Bioinformatics|January 5, 2010
Predicting gene function using hierarchical multi-label decision tree ensemblesLeander Schietgat, Celine Vens, Jan Struyf, et al.
Plos Computational Biology|April 24, 2018
A machine learning based framework to identify and classify long terminal repeat retrotransposonsLeander Schietgat, Celine Vens, Ricardo Cerri, et al.
Studies in Health Technology and Informatics|September 12, 2009
Dynamic data analysis and data mining for prediction of clinical stabilityKristien Van Loon, Fabian Guiza, Geert Meyfroidt, et al.
Pageof 1