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20212026
most citedA Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

econ.TH2026

The Economics of Builder Saturation in Digital Markets

Armin Catovic

Recent advances in generative AI systems have dramatically reduced the cost of digital production, fueling narratives that widespread participation in software creation will yield…

cs.CL2023★ 3 cited

A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models

Lele Cao, Vilhelm von Ehrenheim, Astrid Berghult +7

The Private Equity (PE) firms operate investment funds by acquiring and managing companies to achieve a high return upon selling. Many PE funds are thematic, meaning investment pro…

cs.AI2023

CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification

Lele Cao, Vilhelm von Ehrenheim, Mark Granroth-Wilding +4

In the investment industry, it is often essential to carry out fine-grained company similarity quantification for a range of purposes, including market mapping, competitor analysis…

cs.LG2021

Linnaeus: A highly reusable and adaptable ML based log classification pipeline

Armin Catovic, Carolyn Cartwright, Yasmin Tesfaldet Gebreyesus +1

Logs are a common way to record detailed run-time information in software. As modern software systems evolve in scale and complexity, logs have become indispensable to understandin…

eess.SP2021★ 1 cited

Traffic Flow Estimation using LTE Radio Frequency Counters and Machine Learning

Forough Yaghoubi, Armin Catovic, Arthur Gusmao +2

As the demand for vehicles continues to outpace construction of new roads, it becomes imperative we implement strategies that improve utilization of existing transport infrastructu…