Ewa Walaszczyk

According to our database, Ewa Walaszczyk authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

Prediction of Employee Absence in a Telecommunication Company Using Machine Learning Models.

Ewa Walaszczyk, Jakub Kubica, Michal Nadolny, Artur Rot

Proceedings of the Recent Challenges in Intelligent Information and Database Systems: 18th Asian Conference, 2026

2025

Perception of AI Applications in Enterprise Decision-Making Processes Depending on Company Size.

Michal Nadolny, Agata Kozina, Ewa Walaszczyk, Katarzyna Liwarska-Fulczyk

Proceedings of the Emerging Challenges in Intelligent Management Information Systems - Proceedings of 28th European Conference on Artificial Intelligence ECAI 2025, 2025

2024

Prediction of the Importance of Factors Influencing Co-sharing Attitudes Using Machine Learning.

Ewa Walaszczyk, Michal Nadolny, Artur Rot, Pawel Golec, Mykola Dyvak

Proceedings of the Emerging Challenges in Intelligent Management Information Systems - Proceedings of 27th European Conference on Artificial Intelligence ECAI 2024, 2024

Machine Learning for Prediction of the Importance of Factors Influencing Prosumer Attitudes.

Ewa Walaszczyk, Michal Nadolny, Marcin Hernes, Agata Kozina, Bogdan Franczyk

Proceedings of the Emerging Challenges in Intelligent Management Information Systems - Proceedings of 27th European Conference on Artificial Intelligence ECAI 2024, 2024

Clustering Customers' Behavior of an Online Store Offering e-learning Courses Using Machine Learning.

Andrzej Dudek, Marcin Pelka, Krzysztof Lutoslawski, Marcin Hernes, Piotr Tutak, Ewa Walaszczyk

Proceedings of the Emerging Challenges in Intelligent Management Information Systems - Proceedings of 27th European Conference on Artificial Intelligence ECAI 2024, 2024

Prediction of the Delay Time of Public Transportation Using Machine Learning.

Alicja Piaskowska, Marcin Hernes, Ewa Walaszczyk, Agata Kozina, Kateryna Czerniachowska

Proceedings of the Advances in Computational Collective Intelligence, 2024

Predicting Prosumption Survey Response using Machine Learning.

Ewa Walaszczyk, Michal Nadolny, Agata Kozina, Marcin Hernes, Artur Rot

Proceedings of the 14th International Conference on Advanced Computer Information Technologies, 2024

One Hot Encoding and Hashing_Trick Transformation - Performance Comparision.

Agata Kozina, Michal Nadolny, Marcin Hernes, Ewa Walaszczyk, Artur Rot

Proceedings of the 14th International Conference on Advanced Computer Information Technologies, 2024

Forecasting Sales at Fuel Stations Using a Multilayer Perceptron.

Aleksander Karonski, Marcin Hernes, Ewa Walaszczyk, Artur Rot

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2024

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

Forecasting e-learning Course Purchases Using Deep Learning Based on Customer Retention.

Pawel Golec, Marcin Hernes, Tomasz Sajewski, Ewa Walaszczyk, Artur Rot, Marcin Fojcik, Tomasz Turek, Damian Dziembek

Proceedings of the Emerging Challenges in Intelligent Management Information Systems - Proceedings of 26th European Conference on Artificial Intelligence ECAI 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