The Functionalities of Cognitive Technology in Management Control System. - Andrzej Bytniewski; Kamal Matouk; Anna Chojnacka-Komorowska; Marcin Hernes; Adam Zawadzki; Agata Kozina (ACIIDS (2), 2020)

Data Quality Management in ERP Systems - Accounting Case. - Marcin Hernes; Andrzej Bytniewski; Karolina Matenczuk; Artur Rot; Szymon Dziuba; Marcin Fojcik; Tran Luong Nguyet; Pawel Golec; Agata Kozina (ICCCI (CCIS Volume), 2020)

Deep learning for grape variety recognition. - Bogdan Franczyk; Marcin Hernes; Adrianna Kozierkiewicz; Agata Kozina; Marcin Pietranik; Ingolf Römer; Martin Schieck (KES, 2020)

Reduction of Information Asymmetry in the Used Car Market Using the Random Forest Method. - Milosz Bies; Wieslawa Gryncewicz; Agata Kozina; Marcin Hernes; Artur Rot; Ryszard Zygala (ACIT, 2021)

Deep Learning for Customer Churn Prediction in E-Commerce Decision Support. - Maciej Pondel; Maciej Wuczynski; Wieslawa Gryncewicz; Lukasz Lysik; Marcin Hernes; Artur Rot; Agata Kozina (BIS, 2021)

Shelf space allocation problem with horizontal shelf division. - Kateryna Czerniachowska; Krzysztof Lutoslawski; Agata Kozina; Karolina Matenczuk; Aleksandra Markowska; Adrianna Kozierkiewicz; Marcin Pietranik; Ingolf Römer; Martin Schieck (KES, 2021)

Financial Time Series Forecasting: Comparison of Traditional and Spiking Neural Networks. - Karolina Matenczuk; Agata Kozina; Aleksandra Markowska; Kateryna Czerniachowska; Klaudia Kaczmarczyk; Pawel Golec; Marcin Hernes; Krzysztof Lutoslawski; Adrianna Kozierkiewicz; Marcin Pietranik; Artur Rot; Mykola Dyvak (KES, 2021)

Food Demand Prediction Using the Nonlinear Autoregressive Exogenous Neural Network. - Krzysztof Lutoslawski; Marcin Hernes; Joanna Radomska; Monika Hajdas; Ewa Walaszczyk; Agata Kozina (IEEE Access, 2021)

Generative Adversarial Networks for students' structure prediction. Preliminary research. - Agata Kozina; Zdzislaw Kes; Marcin Hernes; Pawel Golec; Krzysztof Nowosielski; Olena Sidor; Korlan Zhanat (FedCSIS (Position Papers), 2022)

Between deep learning and alternative costs: bibliometric analysis. - Agata Kozina; Tomasz Zema; Adam Sulich (KES, 2022)

Deep learning and forecasting in practice: an alternative costs case. - Tomasz Zema; Agata Kozina; Adam Sulich; Ingolf Römer; Martin Schieck (KES, 2022)

The default of leasing contracts prediction using machine learning. - Agata Kozina; Lukasz Kuzminski; Michal Nadolny; Karolina Mialkowska; Piotr Tutak; Jakub Janus; Filip Plotnicki; Ewa Walaszczyk; Artur Rot; Damian Dziembek; Robert Król (KES, 2023)

One Hot Encoding and Hashing_Trick Transformation - Performance Comparision. - Agata Kozina; Michal Nadolny; Marcin Hernes; Ewa Walaszczyk; Artur Rot (ACIT, 2024)

Predicting Prosumption Survey Response using Machine Learning. - Ewa Walaszczyk; Michal Nadolny; Agata Kozina; Marcin Hernes; Artur Rot (ACIT, 2024)

Data transformation review in deep learning. - Agata Kozina (AISD, 2024)

Prediction of the Delay Time of Public Transportation Using Machine Learning. - Alicja Piaskowska; Marcin Hernes; Ewa Walaszczyk; Agata Kozina; Kateryna Czerniachowska (ICCCI (CCIS Volume 1), 2024)