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Finding the unicorn: Predicting early stage startup success through a
  hybrid intelligence method

Finding the unicorn: Predicting early stage startup success through a hybrid intelligence method

International Conference on Interaction Sciences (ICIS), 2017
7 May 2021
Dominik Dellermann
Nikolaus Lipusch
P. Ebel
K. Popp
J. Leimeister
ArXiv (abs)PDFHTML

Papers citing "Finding the unicorn: Predicting early stage startup success through a hybrid intelligence method"

10 / 10 papers shown
VCBench: Benchmarking LLMs in Venture Capital
VCBench: Benchmarking LLMs in Venture Capital
Rick Chen
Joseph Ternasky
Afriyie Samuel Kwesi
Ben Griffin
Aaron Ontoyin Yin
Zakari Salifu
Kelvin Amoaba
Xianling Mu
Fuat Alican
Yigit Ihlamur
153
3
0
17 Sep 2025
Random Rule Forest (RRF): Interpretable Ensembles of LLM-Generated Questions for Predicting Startup Success
Random Rule Forest (RRF): Interpretable Ensembles of LLM-Generated Questions for Predicting Startup Success
Ben Griffin
Diego Vidaurre
Ugur Koyluoglu
Joseph Ternasky
Fuat Alican
Yigit Ihlamur
291
8
0
30 May 2025
A Fused Large Language Model for Predicting Startup Success
A Fused Large Language Model for Predicting Startup SuccessEuropean Journal of Operational Research (EJOR), 2024
Abdurahman Maarouf
Stefan Feuerriegel
Nicolas Pröllochs
251
30
0
05 Sep 2024
Improving Startup Success with Text Analysis
Improving Startup Success with Text Analysis
Emily Gavrilenko
Foaad Khosmood
Mahdi Rastad
Sadra Amiri Moghaddam
71
3
0
11 Dec 2023
Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems
Beyond Gut Feel: Using Time Series Transformers to Find Investment GemsInternational Conference on Artificial Neural Networks (ICANN), 2023
Lele Cao
Gustaf Halvardsson
Andrew McCornack
Vilhelm von Ehrenheim
P. Herman
AI4TS
353
0
0
28 Sep 2023
AI for Investment: A Platform Disruption
AI for Investment: A Platform Disruption
Mohammad Rasouli
Ravi Chiruvolu
Ali Risheh
207
4
0
06 Sep 2023
Using Deep Learning to Find the Next Unicorn: A Practical Synthesis
Using Deep Learning to Find the Next Unicorn: A Practical Synthesis
Le-le Cao
Vilhelm von Ehrenheim
Sebastian Krakowski
Xiaoxue Li
Alexandra Lutz
SyDa
240
7
0
18 Oct 2022
Design principles for a hybrid intelligence decision support system for
  business model validation
Design principles for a hybrid intelligence decision support system for business model validationElectronic Markets (EM), 2018
Dominik Dellermann
Nikolaus Lipusch
P. Ebel
J. Leimeister
107
93
0
07 May 2021
The future of human-AI collaboration: a taxonomy of design knowledge for
  hybrid intelligence systems
The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systemsHawaii International Conference on System Sciences (HICSS), 2019
Dominik Dellermann
A. Calma
Nikolaus Lipusch
Thorsten Weber
Sascha Weigel
P. Ebel
HAI
309
247
0
07 May 2021
Supervised learning for the prediction of firm dynamics
Supervised learning for the prediction of firm dynamics
Falco J. Bargagli-Stoffi
J. Niederreiter
M. Riccaboni
193
21
0
11 Sep 2020
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