Search Results for author:
Found 4 papers, 1 papers with code
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification
To the best of our knowledge, CompanyKG is the first large-scale heterogeneous graph dataset originating from a real-world investment platform, tailored for quantifying inter-company similarity.
A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models
The Private Equity (PE) firms operate investment funds by acquiring and managing companies to achieve a high return upon selling.
Linnaeus: A highly reusable and adaptable ML based log classification pipeline
Besides showing the more traditional ML flow, we also demonstrate our solutions for adaptability and re-use, integration towards large scale software development processes, and how we cope with lack of labelled data.
Traffic Flow Estimation using LTE Radio Frequency Counters and Machine Learning
As the demand for vehicles continues to outpace construction of new roads, it becomes imperative we implement strategies that improve utilization of existing transport infrastructure.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
