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Kamil Zbikowski
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2020 – today
- 2024
- [c6]Piotr Gawrysiak, Tomasz Romanowski, Olga Kacprzak, Kamil Zbikowski:
Implementing a Process Mining Framework in a Large Commercial Bank Lessons Learned. BPM (Blockchain and RPA Forum) 2024: 441-450 - 2022
- [c5]Kamil Zbikowski, Michal Ostapowicz, Piotr Gawrysiak:
Deep Reinforcement Learning for Resource Allocation in Business Processes. ICPM Workshops 2022: 177-189 - 2021
- [j3]Kamil Zbikowski, Piotr Antosiuk:
A machine learning, bias-free approach for predicting business success using Crunchbase data. Inf. Process. Manag. 58(4): 102555 (2021) - [i2]Kamil Zbikowski, Michal Ostapowicz, Piotr Gawrysiak:
Deep Reinforcement Learning for Resource Allocation in Business Processes. CoRR abs/2104.00541 (2021)
2010 – 2019
- 2019
- [j2]Piotr Ladyzynski, Kamil Zbikowski, Piotr Gawrysiak:
Direct marketing campaigns in retail banking with the use of deep learning and random forests. Expert Syst. Appl. 134: 28-35 (2019) - [c4]Michal Ostapowicz, Kamil Zbikowski:
Detecting Fraudulent Accounts on Blockchain: A Supervised Approach. WISE 2019: 18-31 - [i1]Michal Ostapowicz, Kamil Zbikowski:
Detecting Fraudulent Accounts on Blockchain: A Supervised Approach. CoRR abs/1908.07886 (2019) - 2017
- [c3]Mathurin Aché, Andrzej Janusz, Kamil Zbikowski, Dominik Slezak, Marzena Kryszkiewicz, Henryk Rybinski, Piotr Gawrysiak:
ISMIS 2017 Data Mining Competition: Trading Based on Recommendations. ISMIS 2017: 697-707 - 2015
- [j1]Kamil Zbikowski:
Using Volume Weighted Support Vector Machines with walk forward testing and feature selection for the purpose of creating stock trading strategy. Expert Syst. Appl. 42(4): 1797-1805 (2015) - 2014
- [c2]Kamil Zbikowski:
Time Series Forecasting with Volume Weighted Support Vector Machines. BDAS 2014: 250-258 - 2013
- [c1]Piotr Ladyzynski, Kamil Zbikowski, Przemyslaw Grzegorzewski:
Stock Trading with Random Forests, Trend Detection Tests and Force Index Volume Indicators. ICAISC (2) 2013: 441-452
Coauthor Index
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