As it turns out there are Neural Networks which are designed to work with complex numbers:
A Survey of Complex-Valued Neural Networks
Artificial neural networks (ANNs) based machine learning models and
especially deep learning models have been widely applied in computer
vision, signal processing, wireless communications, and many other
domains, where ...
Most of the work done in data science is experimental in some way (from data acquisition to a model being used to do something), partially due to how most techniques work (hyperparameters, distributional assumptions, etc.), after all most models are very tied to the task they were built to solve, so they don't translate very well even to tasks that are very ...
Further research indicates the most relevant technique to address this problem is data valuation, also known as data shapley. Here are 2 relevant papers on the topic:
Data Shapley: Equitable Valuation of Data for Machine Learning
What is your data worth? Equitable Valuation of Data
I spent a week implementing this technique on my project. It is highly ...