%0 Journal Article %1 papoutsoglou2021automated %A Papoutsoglou, Georgios %A Karaglani, Makrina %A Lagani, Vincenzo %A Thomson, Naomi %A Rœ, Oluf Dimitri %A Tsamardinos, Ioannis %A Chatzaki, Ekaterini %D 2021 %I Nature Publishing Group UK London %J Scientific Reports %K learning machine predictive %N 1 %P 15107 %T Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets %V 11

@article{papoutsoglou2021automated, added-at = {2025-03-26T10:59:09.000+0100}, author = {Papoutsoglou, Georgios and Karaglani, Makrina and Lagani, Vincenzo and Thomson, Naomi and R{\o}e, Oluf Dimitri and Tsamardinos, Ioannis and Chatzaki, Ekaterini}, biburl = {https://www.bibsonomy.org/bibtex/2e030990df82427663de857c169754f2d/mensxmachina}, description = {View article}, interhash = {072fa3fd8adfb85998e241259968cb09}, intrahash = {e030990df82427663de857c169754f2d}, journal = {Scientific Reports}, keywords = {learning machine predictive}, number = 1, pages = 15107, publisher = {Nature Publishing Group UK London}, timestamp = {2025-03-26T10:59:09.000+0100}, title = {Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets}, volume = 11, year = 2021 }