Browse by UCL people
Group by: Type | Date
Number of items: 6.
Article
Rosenbusch, H;
Soldner, F;
Evans, AM;
Zeelenberg, M;
(2021)
Supervised machine learning methods in psychology: A practical introduction with annotated R code.
Social and Personality Psychology Compass
, 15
(2)
, Article e12579. 10.1111/spc3.12579.
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Soldner, Felix;
Kleinberg, Bennett;
Johnson, Shane D;
(2023)
Counterfeits on dark markets: a measurement between Jan-2014 and Sep-2015.
Crime Science
, 12
, Article 18. 10.1186/s40163-023-00195-2.
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Soldner, Felix;
Kleinberg, Bennett;
Johnson, Shane D;
(2022)
Confounds and overestimations in fake review detection: Experimentally controlling for product-ownership and data-origin.
PLoS One
, 17
(12)
, Article e0277869. 10.1371/journal.pone.0277869.
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Book chapter
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Soldner, Felix;
Kleinberg, Bennett;
Johnson, Shane;
(2022)
Trends in online consumer fraud: A data science perspective.
In:
A Fresh Look at Fraud.
(pp. 167-191).
Routledge: London, UK.
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Soldner, Felix;
Tanczer, Leonie Maria;
Hammocks, Daniel;
Lopez-Neira, Isabel;
Johnson, Shane D.;
(2021)
Using Machine Learning Methods to Study Technology-Facilitated Abuse: Evidence from the Analysis of UK Crimestoppers’ Text Data.
In: Powell, A and Flynn, A and Sugiura, L, (eds.)
The Palgrave Handbook of Gendered Violence and Technology.
(pp. 481-503).
Palgrave Macmillan: Cham, Switzerland.
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Thesis
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Soldner, Felix David;
(2023)
Combating online consumer fraud and counterfeits: A data science perspective.
Doctoral thesis (Ph.D), UCL (University College London).
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