Designing and Evaluating Deep Learning Models for Cancer Detection on Gene Expression Data. - Arif Canakoglu; Luca Nanni; Artur Sokolovsky; Stefano Ceri (CIBB, 2018)

Detection of FLOSS version release events from Stack Overflow message data. - Artur Sokolovsky; Thomas Gross 001; Jaume Bacardit (CoRR, 2020)

Machine Learning Classification of Price Extrema Based on Market Microstructure Features: A Case Study of S&P500 E-mini Futures. - Artur Sokolovsky; Luca Arnaboldi 001 (CoRR, 2020)

Interpretable ML-driven Strategy for Automated Trading Pattern Extraction. - Artur Sokolovsky; Luca Arnaboldi 001; Jaume Bacardit; Thomas Gross 001 (CoRR, 2021)

Cost-Effective Vibration Analysis through Data-Backed Pipeline Optimisation. - Artur Sokolovsky; David Hare; Jorn Mehnen (Sensors, 2021)

A generic methodology for the statistically uniform & comparable evaluation of Automated Trading Platform components. - Artur Sokolovsky; Luca Arnaboldi 001 (Expert Syst. Appl., 2023)