A machine learning tool in the hands of an asset manager that focuses on mining companies would highlight this as relevant data. The model in the machine learning tool would then use an analytics ...

This repository contains. Code for generating prompts for GPT-4 to extract data based on papers; Machine learning algoirthms trained and tested on Yarrowia lipolytica and Rhodosporidium toruloides; ...

Technological innovations, particularly in the data and machine learning space, are pivotal in addressing the increasing global demand for critical minerals, highlights geoscience software company ...

His research interests are broadly in data mining and machine learning, with a particular focus on graph neural networks, and data-efficient learning. He has published over 30 papers on top ...

Joseph, Matthew, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Leon Roth. "Rawlsian Fairness for Machine Learning." Paper presented at the 3rd Workshop on Fairness, Accountability, and ...

Financial statement fraud refers to malicious manipulations of financial data in listed companies' annual statements. Traditional machine learning approaches focus on individual companies, overlooking ...