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2020 – today
- 2023
[c8]Yiea-Funk Te, Michèle Wieland, Martin Frey, Helmut Grabner:
Mitigating Discriminatory Biases in Success Prediction Models for Venture Capitals. SDS 2023: 26-33
2010 – 2019
- 2018
- [b1]Yiea-Funk Te:
Predicting the Financial Growth of Small and Medium-Sized Enterprises using Web Mining. ETH Zurich, Zürich, Switzerland, 2018 - 2017
- [c7]Daniel Muller, Yiea-Funk Te, Pratiksha Jain:
Improving data quality through high precision gender categorization. IEEE BigData 2017: 2628-2636 - [c6]Daniel Muller, Yiea-Funk Te:
Insurance premium optimization using motor insurance policies - A business growth classification approach. IEEE BigData 2017: 4154-4158 - [c5]Daniel Muller, Yiea-Funk Te, Pratiksha Jain:
Predicting business performance through patent applications. IEEE BigData 2017: 4159-4164 - [c4]Yiea-Funk Te, Irena Pletikosa Cvijikj:
Design of a Small and Medium Enterprise Growth Prediction Model Based on Web Mining. ICWE 2017: 600-607 - 2016
- [c3]Cristina Kadar, Yiea-Funk Te, Raquel Rosés Brüngger
, Irena Pletikosa Cvijikj:
Digital Neighborhood Watch: To Share or Not to Share? CHI Extended Abstracts 2016: 2148-2155 - 2015
- [c2]Irena Pletikosa Cvijikj, Cristina Kadar, Bogdan Ivan, Yiea-Funk Te:
Towards a crowdsourcing approach for crime prevention. UbiComp/ISWC Adjunct 2015: 1367-1372 - [c1]Irena Pletikosa Cvijikj, Cristina Kadar, Bogdan Ivan, Yiea-Funk Te:
Prevention or Panic: Design and Evaluation of a Crime Prevention IS. ICIS 2015
Coauthor Index
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