%0 Journal Article %1 journals/corr/abs-1903-05082 %A Paganini, Michela %D 2019 %J CoRR %K dblp %T Machine Learning Solutions for High Energy Physics: Applications to Electromagnetic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production. %U http://dblp.uni-trier.de/db/journals/corr/corr1903.html#abs-1903-05082 %V abs/1903.05082

@article{journals/corr/abs-1903-05082, added-at = {2019-04-02T00:00:00.000+0200}, author = {Paganini, Michela}, biburl = {https://www.bibsonomy.org/bibtex/29f21b6c2aa846fc77b88bf9ec2ca6228/dblp}, ee = {http://arxiv.org/abs/1903.05082}, interhash = {89b1d53e2b8d2bb1b6f302f9a8f1709d}, intrahash = {9f21b6c2aa846fc77b88bf9ec2ca6228}, journal = {CoRR}, keywords = {dblp}, timestamp = {2019-04-03T11:47:30.000+0200}, title = {Machine Learning Solutions for High Energy Physics: Applications to Electromagnetic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr1903.html#abs-1903-05082}, volume = {abs/1903.05082}, year = 2019 }