Master Thesis Open Access

Feasibility and Reliability Studies of Graph Neural Networks for Multivariate tt+X Event Classification at the CMS Experiment at CERN

Cung, Yee-Ying Christina

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@mastersthesis{cung_yee_ying_christina_2022_22148,
  author       = {Cung, Yee-Ying Christina},
  title        = {{Feasibility and Reliability Studies of Graph 
                   Neural Networks for Multivariate tt+X Event
                   Classification at the CMS Experiment at CERN}},
  year         = 2022,
  school       = {Karlsruhe Institute of Technology (KIT)},
  report_number = {ETP-KA/2022-19},
}
Publication date:
December 6, 2022
Keyword(s):
Machine Learning Graph Neural Network Deep Neural Network Explainable AI GNNExplainer Taylor Coefficient Analysis Multivariate Classification GNN DNN
Awarding University:
Karlsruhe Institute of Technology (KIT)
Report Number:
ETP-KA/2022-19
Communities:

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