Kamil Zbikowski

According to our database, Kamil Zbikowski authored at least 9 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Implementing a Process Mining Framework in a Large Commercial Bank Lessons Learned.

Piotr Gawrysiak, Tomasz Romanowski, Olga Kacprzak, Kamil Zbikowski

Proceedings of the Business Process Management: Blockchain, Robotic Process Automation, Central and Eastern European, Educators and Industry Forum, 2024

2022

Deep Reinforcement Learning for Resource Allocation in Business Processes.

Kamil Zbikowski, Michal Ostapowicz, Piotr Gawrysiak

Proceedings of the Process Mining Workshops, 2022

2021

A machine learning, bias-free approach for predicting business success using Crunchbase data.

Kamil Zbikowski, Piotr Antosiuk

Inf. Process. Manag., 2021

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

Detecting Fraudulent Accounts on Blockchain: A Supervised Approach.

Michal Ostapowicz, Kamil Zbikowski

Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

2017

ISMIS 2017 Data Mining Competition: Trading Based on Recommendations.

Mathurin Aché, Andrzej Janusz, Kamil Zbikowski, Dominik Slezak, Marzena Kryszkiewicz, Henryk Rybinski, Piotr Gawrysiak

Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

2015

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

2014

Time Series Forecasting with Volume Weighted Support Vector Machines.

Kamil Zbikowski

Proceedings of the Beyond Databases, Architectures, and Structures, 2014

2013

Stock Trading with Random Forests, Trend Detection Tests and Force Index Volume Indicators.

Piotr Ladyzynski, Kamil Zbikowski, Przemyslaw Grzegorzewski

Proceedings of the Artificial Intelligence and Soft Computing, 2013