Ewa Walaszczyk

According to our database, Ewa Walaszczyk authored at least 7 papers between 2021 and 2023.

Collaborative distances:

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

2023

Key decision factors in the shared economy decision-making model.

Michal Nadolny, Ewa Walaszczyk, Maja Leszczynska

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

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

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Analysis of Skin Lesions for Cancer Detection Using Convolutional Neural Networks.

Katarzyna Korsak, Marcin Hernes, Ewa Walaszczyk, Artur Rot, Anna Grzeda

Proceedings of the 13th International Conference on Advanced Computer Information Technologies, 2023

2022

Machine learning in the enrolment management process: a case study of using GANs in postgraduate students' structure prediction.

Bartlomiej Nita, Krzysztof Nowosielski, Zdzislaw Kes, Olena Sidor, Piotr Oleksyk, Ewa Walaszczyk, Pawel Golec, Aleksandra Zaniewska, Tomasz Turek, Robert Krol

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Key preferences of IT system users in the context of prosumer attitudes.

Michal Nadolny, Ewa Walaszczyk, Karol Lopacinski

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Machine Learning for Environmental Life Cycle Costing.

Aleksandra Markowska, Malgorzata Krzywonos, Maria Culjak, Ewa Walaszczyk, Karolina Mialkowska, Anna Chojnacka-Komorowska, Kamal Matouk, Michal Snierzynski

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

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