Kamil Zbikowski

11 papers B 1C 1Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2024 — conf
Implementing a Process Mining Framework in a Large Commercial Bank Lessons Learned.
BPM (Blockchain and RPA Forum)
Piotr Gawrysiak, Tomasz Romanowski, Olga Kacprzak, Kamil Zbikowski
2022 — conf
Deep Reinforcement Learning for Resource Allocation in Business Processes.
ICPM Workshops
Kamil Zbikowski, Michal Ostapowicz, Piotr Gawrysiak
2021 J jnl
A machine learning, bias-free approach for predicting business success using Crunchbase data.
Inf. Process. Manag.
Kamil Zbikowski, Piotr Antosiuk
2021 J jnl
Deep Reinforcement Learning for Resource Allocation in Business Processes.
CoRR
Kamil Zbikowski, Michal Ostapowicz, Piotr Gawrysiak
2019 B conf
Detecting Fraudulent Accounts on Blockchain: A Supervised Approach.
WISE
Michal Ostapowicz, Kamil Zbikowski
2019 J jnl
Detecting Fraudulent Accounts on Blockchain: A Supervised Approach.
CoRR
Michal Ostapowicz, Kamil Zbikowski
2019 J jnl
Direct marketing campaigns in retail banking with the use of deep learning and random forests.
Expert Syst. Appl.
Piotr Ladyzynski, Kamil Zbikowski, Piotr Gawrysiak
2017 C conf
ISMIS 2017 Data Mining Competition: Trading Based on Recommendations.
ISMIS
Mathurin Aché, Andrzej Janusz, Kamil Zbikowski, Dominik Slezak, Marzena Kryszkiewicz, Henryk Rybinski, Piotr Gawrysiak
2015 J jnl
Using Volume Weighted Support Vector Machines with walk forward testing and feature selection for the purpose of creating stock trading strategy.
Expert Syst. Appl.
Kamil Zbikowski
2014 — conf
Time Series Forecasting with Volume Weighted Support Vector Machines.
BDAS
Kamil Zbikowski
2013 — conf
Stock Trading with Random Forests, Trend Detection Tests and Force Index Volume Indicators.
ICAISC (2)
Piotr Ladyzynski, Kamil Zbikowski, Przemyslaw Grzegorzewski