3 citations · 3 across the 4 of their papers we have counts for
4 papers
Cost-effective vibration analysis through data-backed pipeline optimisation
Artur Sokolovsky, David Hare, Jorn Mehnen
Vibration analysis is an active area of research, aimed, among other targets, at an accurate classification of machinery failure modes. This often leads to complex and convoluted s…
Volume-Centred Range Bars: Novel Interpretable Representation of Financial Markets Designed for Machine Learning Applications
Artur Sokolovsky, Luca Arnaboldi, Jaume Bacardit +1
Financial markets are a source of non-stationary multidimensional time series which has been drawing attention for decades. Each financial instrument has its specific changing-over…
A Generic Methodology for the Statistically Uniform & Comparable Evaluation of Automated Trading Platform Components
Artur Sokolovsky, Luca Arnaboldi
Although machine learning approaches have been widely used in the field of finance, to very successful degrees, these approaches remain bespoke to specific investigations and opaqu…
Is it feasible to detect FLOSS version release events from textual messages? A case study on Stack Overflow
A. Sokolovsky, T. Gross, J. Bacardit
Topic Detection and Tracking (TDT) is a very active research question within the area of text mining, generally applied to news feeds and Twitter datasets, where topics and events…