Addressing Class Imbalance in Multi-Touch Conversion Attribution: A Realistic Approach

Additional Metadata
Keywords	Neural networks; Attention mechanisms; Multi-touch conversion attribution (MTA); Ensemble learning; Uncertainty quantification
Thesis Advisor	Gruber, K
Persistent URL	hdl.handle.net/2105/67165
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Weterman, P.A.C. (2023, July 19). Addressing Class Imbalance in Multi-Touch Conversion Attribution: A Realistic Approach. Econometrie. Retrieved from http://hdl.handle.net/2105/67165

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