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Using deep learning to find the next unicorn: A practical synthesis
L Cao, V von Ehrenheim, S Krakowski, X Li… - ar**, vulnerability, and service delivery
applications. In cyberspace, where the network structure is complex and the number of …
applications. In cyberspace, where the network structure is complex and the number of …
Data driven analysis for startup investments for venture capitalists
J Singhal, C Rane, Y Wadalkar, M Joshi… - … for Advancement in …, 2022 - ieeexplore.ieee.org
Startups are becoming an increasingly appealing investment opportunity for Venture Capital
firms and Angel in-vestors. However, in order to make educated judgments, investors must …
firms and Angel in-vestors. However, in order to make educated judgments, investors must …
Sourcing Investment Targets for Venture and Growth Capital Using Multivariate Time Series Transformer
L Cao, G Halvardsson, A McCornack… - arxiv preprint arxiv …, 2023 - arxiv.org
This paper addresses the growing application of data-driven approaches within the Private
Equity (PE) industry, particularly in sourcing investment targets (ie, companies) for Venture …
Equity (PE) industry, particularly in sourcing investment targets (ie, companies) for Venture …
Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems
L Cao, G Halvardsson, A McCornack… - … Conference on Artificial …, 2024 - Springer
This paper addresses the growing application of data-driven approaches within the Private
Equity (PE) industry, particularly in sourcing investment targets (ie, companies) for Venture …
Equity (PE) industry, particularly in sourcing investment targets (ie, companies) for Venture …
Staged link prediction in bipartite investment networks based on pseudo-edge generation
J Yu, Y Lee - Information Technology and Management, 2024 - Springer
Investors, including venture capitalists, invest in companies in multiple stages depending on
the scale and timing. A second-stage investment involves investing a large amount in a few …
the scale and timing. A second-stage investment involves investing a large amount in a few …
Enhancing Startup Success Predictions in Venture Capital: A GraphRAG Augmented Multivariate Time Series Method
Z Gao, Y **ao - arxiv preprint arxiv:2408.09420, 2024 - arxiv.org
In the Venture Capital (VC) industry, predicting the success of startups is challenging due to
limited financial data and the need for subjective revenue forecasts. Previous methods …
limited financial data and the need for subjective revenue forecasts. Previous methods …
[PDF][PDF] Using deep learning to find the next unicorn: A practical synthesis on optimization target, feature selection, data split and evaluation strategy
L Cao, V von Ehrenheim, S Stan, X Li… - Proceedings of the Fifth …, 2023 - aclanthology.org
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 …
Bring Me a Good One: Seeking High-potential Startups using Heterogeneous Venture Information Networks
Identifying startups with the highest potential for success is a complex task, necessitating the
examination of various information sources, including firm demographics, management …
examination of various information sources, including firm demographics, management …
IZLASCI NOVOOSNOVANIH PODUZEĆA: DOKAZI IZ ČEŠKE REPUBLIKE
L Vejmělková - Ekonomska misao i praksa, 2024 - hrcak.srce.hr
Sažetak Cilj je ovog rada identificirati glavne karakteristike start-up izlaza u Češkoj. Jaz u
istraživanju proizlazi iz nedostatka istraživanja izlaza start-upa. U tu svrhu koristi se …
istraživanju proizlazi iz nedostatka istraživanja izlaza start-upa. U tu svrhu koristi se …