O mnie

CEO @ Processifier
adiunkt @ Instytut Informatyki, Politechnika Warszawska

Zainteresowania badawcze: process mining, aplikacyjne zastosowania uczenia maszynowego/sztucznej inteligencji, support vector machines

Publikacje

Żbikowski, Kamil, Michał Ostapowicz, and Piotr Gawrysiak. “Deep Reinforcement Learning for Resource Allocation in Business Processes.” International Conference on Process Mining. Cham: Springer Nature Switzerland, 2022.
Żbikowski, Kamil, and Piotr Antosiuk. “A machine learning, bias-free approach for predicting business success using Crunchbase data.” Information Processing & Management 58.4 (2021): 102555.
Żbikowski, Kamil, Michał Ostapowicz, and Piotr Gawrysiak. “Deep Reinforcement Learning for Resource Allocation in Business Processes.” arXiv preprint arXiv:2104.00541 (2021).
Ostapowicz, Michał, and Kamil Żbikowski. “Detecting fraudulent accounts on blockchain: a supervised approach.” International Conference on Web Information Systems Engineering. Springer, Cham, 2020.
Ładyżyński, Piotr, Kamil Żbikowski, and Piotr Gawrysiak. “Direct marketing campaigns in retail banking with the use of deep learning and random forests.” Expert Systems with Applications 134 (2019): 28-35.
Aché, Mathurin, et al. “ISMIS 2017 Data Mining Competition: Trading Based on Recommendations.” International Symposium on Methodologies for Intelligent Systems. Springer, Cham, 2017.
Żbikowski, Kamil. “Application of machine learning algorithms for bitcoin automated trading.” Machine intelligence and big data in industry. Springer, Cham, 2016. 161-168.
Żbikowski, Kamil. “Using volume weighted support vector machines with walk forward testing and feature selection for the purpose of creating stock trading strategy.” Expert Systems with Applications 42.4 (2015): 1797-1805.
Żbikowski, Kamil. “Time series forecasting with volume weighted support vector machines.” International Conference: Beyond Databases, Architectures and Structures. Springer, Cham, 2014.
Ładyżyński, Piotr, Kamil Żbikowski, and Przemysław Grzegorzewski. “Stock trading with random forests, trend detection tests and force index volume indicators.” International conference on artificial intelligence and soft computing. Springer, Berlin, Heidelberg, 2013.