Stock Trading with Random Forests, Trend Detection Tests and Force Index Volume Indicators. - Piotr Ladyzynski; Kamil Zbikowski; Przemyslaw Grzegorzewski (ICAISC (2), 2013)

Time Series Forecasting with Volume Weighted Support Vector Machines. - Kamil Zbikowski (BDAS, 2014)

Using Volume Weighted Support Vector Machines with walk forward testing and feature selection for the purpose of creating stock trading strategy. - Kamil Zbikowski (Expert Syst. Appl., 2015)

ISMIS 2017 Data Mining Competition: Trading Based on Recommendations. - Mathurin Aché; Andrzej Janusz; Kamil Zbikowski; Dominik Slezak; Marzena Kryszkiewicz; Henryk Rybinski; Piotr Gawrysiak (ISMIS, 2017)

Detecting Fraudulent Accounts on Blockchain: A Supervised Approach. - Michal Ostapowicz; Kamil Zbikowski (WISE, 2019)

Direct marketing campaigns in retail banking with the use of deep learning and random forests. - Piotr Ladyzynski; Kamil Zbikowski; Piotr Gawrysiak (Expert Syst. Appl., 2019)

A machine learning, bias-free approach for predicting business success using Crunchbase data. - Kamil Zbikowski; Piotr Antosiuk (Inf. Process. Manag., 2021)

Deep Reinforcement Learning for Resource Allocation in Business Processes. - Kamil Zbikowski; Michal Ostapowicz; Piotr Gawrysiak (ICPM Workshops, 2022)

Implementing a Process Mining Framework in a Large Commercial Bank Lessons Learned. - Piotr Gawrysiak; Tomasz Romanowski; Olga Kacprzak; Kamil Zbikowski (BPM (Blockchain and RPA Forum), 2024)