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Using deep learning to find the next unicorn: A practical synthesis
Startups often represent newly established business models associated with disruptive
innovation and high scalability. They are commonly regarded as powerful engines for …
innovation and high scalability. They are commonly regarded as powerful engines for …
The impact of equity funding dynamics on venture success: an empirical analysis based on Crunchbase data
A Deias, A Magrini - Economies, 2023 - mdpi.com
Equity funding is a widespread financing form that often accompanies the life cycle of
innovative ventures from initial stages until maturity. From the perspective of investors, the …
innovative ventures from initial stages until maturity. From the perspective of investors, the …
Unlocking funding success: intercultural entrepreneurship dynamics in European startups
Within the dynamic landscape of international entrepreneurship and startup ecosystems, it is
crucial to understand the factors that influence the ability of innovative startups' in raising …
crucial to understand the factors that influence the ability of innovative startups' in raising …
[PDF][PDF] Using deep learning to find the next unicorn: A practical synthesis on optimization target, feature selection, data split and evaluation strategy
Startups represent newly established business models associated with disruptive innovation
and high scalability, hence strongly propel the economic and social development …
and high scalability, hence strongly propel the economic and social development …
[PDF][PDF] Using Deep Learning to Find the Next Unicorn: A Practical Synthesis
C Lele, EQT Motherbrain, E Vilhelm… - arxiv preprint arxiv …, 2022 - researchgate.net
Startups often represent newly established business models associated with disruptive
innovation and high scalability. They are commonly regarded as powerful engines for …
innovation and high scalability. They are commonly regarded as powerful engines for …
Predicting Success in Early-Stage Start-ups using Founding and Executive Team Characteristics
L Wärnberg Gerdin - 2022 - diva-portal.org
Data-driven methods have been used for investment decision support for more than two
decades within the finance sector, however there are great differences in the adoption of …
decades within the finance sector, however there are great differences in the adoption of …
Predicting Startup Exit Strategies with Ensemble Machine Learning
In the current landscape, Venture capitalists are opting for more data-driven decision-
making to achieve high returns while mitigating risks. All VCs seek a home run in their …
making to achieve high returns while mitigating risks. All VCs seek a home run in their …
[PDF][PDF] Predicting Startup Outcomes
JFE Santo Porto - 2023 - www-di.inf.puc-rio.br
Startups are hugely important for innovation and job creation but they also represent a form
of highrisk high-reward investment. To exploit this, venture capitalists are tasked to find …
of highrisk high-reward investment. To exploit this, venture capitalists are tasked to find …
[PDF][PDF] Predicting Startup Exit Strategies with Ensemble Machine Learning
In the current landscape, Venture capitalists are opting for more data-driven decision-
making to achieve high returns while mitigating risks. All VCs seek a home run in their …
making to achieve high returns while mitigating risks. All VCs seek a home run in their …