General purpose computation using Graphic Processing Units (GPUs) is a well‐established
research area focusing on high‐performance computing solutions for massively …

In the era of big data, practical applications in various domains continually generate large-
scale time-series data. Among them, some data show significant or potential periodicity …

The cryptographic currency market is an emerging venue for traders looking to diversify their
investments. We investigate the use of genetic programming (GP) for finding attractive …

We suggest a use of genetic programming for transformation from a vector space to an
understandable graph representation, which is part of a project to inspect the latent space in …

Evolutionary algorithms (EAs) have been successfully applied to solve various challenging
optimisation problems. Due to their stochastic nature, EAs typically require considerable …

When creating a system for automated trading of financial assets, one has to make multiple
decisions under uncertainty. One significant part of such a process is related to knowledge …

We suggest a method of inspecting the latent space of stock market data using genetic
programming. Given black box patterns and (stock, day) tuples a relation matrix is …