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ORCIDEwa Walaszczyk
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2020 – today
- 2026
[c16]Ewa Walaszczyk, Jakub Kubica, Michal Nadolny, Artur Rot:
Prediction of Employee Absence in a Telecommunication Company Using Machine Learning Models. ACIIDS (Companion 2) 2026: 389-403- [e2]Marcin Hernes
, Ewa Walaszczyk, Artur Rot:
Emerging Challenges in Intelligent Management Information Systems - Proceedings of 28th European Conference on Artificial Intelligence ECAI 2025 - IMIS Workshop, Volume 2. Lecture Notes in Networks and Systems 1643, Springer 2026, ISBN 978-3-032-06610-7 [contents] - [e1]Marcin Hernes, Ewa Walaszczyk, Artur Rot:
Emerging Challenges in Intelligent Management Information Systems - Proceedings of 28th European Conference on Artificial Intelligence ECAI 2025 - IMIS Workshop, Volume 1. Lecture Notes in Networks and Systems 1767, Springer 2026, ISBN 978-3-032-13868-2 [contents] - 2025
- [c15]Michal Nadolny, Agata Kozina, Ewa Walaszczyk, Katarzyna Liwarska-Fulczyk:
Perception of AI Applications in Enterprise Decision-Making Processes Depending on Company Size. IMIS@ECAI (2) 2025: 109-121 - 2024
- [c14]Aleksander Karonski, Marcin Hernes, Ewa Walaszczyk, Artur Rot:
Forecasting Sales at Fuel Stations Using a Multilayer Perceptron. ACIIDS (Companion 2) 2024: 206-218 - [c13]Agata Kozina, Michal Nadolny, Marcin Hernes, Ewa Walaszczyk, Artur Rot:
One Hot Encoding and Hashing_Trick Transformation - Performance Comparision. ACIT 2024: 699-704 - [c12]Ewa Walaszczyk, Michal Nadolny, Agata Kozina, Marcin Hernes, Artur Rot:
Predicting Prosumption Survey Response using Machine Learning. ACIT 2024: 720-724 - [c11]Alicja Piaskowska, Marcin Hernes, Ewa Walaszczyk, Agata Kozina, Kateryna Czerniachowska:
Prediction of the Delay Time of Public Transportation Using Machine Learning. ICCCI (CCIS Volume 1) 2024: 283-294 - [c10]Andrzej Dudek, Marcin Pelka, Krzysztof Lutoslawski, Marcin Hernes, Piotr Tutak, Ewa Walaszczyk:
Clustering Customers' Behavior of an Online Store Offering e-learning Courses Using Machine Learning. IMIS@ECAI (2) 2024: 166-182 - [c9]Ewa Walaszczyk, Michal Nadolny, Artur Rot, Pawel Golec, Mykola Dyvak:
Prediction of the Importance of Factors Influencing Co-sharing Attitudes Using Machine Learning. IMIS@ECAI (2) 2024: 183-195 - [c8]Ewa Walaszczyk, Michal Nadolny, Marcin Hernes, Agata Kozina, Bogdan Franczyk:
Machine Learning for Prediction of the Importance of Factors Influencing Prosumer Attitudes. IMIS@ECAI (1) 2024: 184-196 - 2023
- [c7]Katarzyna Korsak, Marcin Hernes, Ewa Walaszczyk, Artur Rot, Anna Grzeda:
Analysis of Skin Lesions for Cancer Detection Using Convolutional Neural Networks. ACIT 2023: 574-578 - [c6]Pawel Golec, Marcin Hernes, Tomasz Sajewski, Ewa Walaszczyk, Artur Rot, Marcin Fojcik, Tomasz Turek, Damian Dziembek:
Forecasting e-learning Course Purchases Using Deep Learning Based on Customer Retention. IMIS@ECAI 2023: 142-155 - [c5]Agata Kozina, Lukasz Kuzminski, Michal Nadolny, Karolina Mialkowska, Piotr Tutak, Jakub Janus, Filip Plotnicki, Ewa Walaszczyk, Artur Rot, Damian Dziembek, Robert Król:
The default of leasing contracts prediction using machine learning. KES 2023: 424-433 - [c4]Michal Nadolny, Ewa Walaszczyk, Maja Leszczynska:
Key decision factors in the shared economy decision-making model. KES 2023: 1786-1795 - 2022
- [c3]Bartlomiej Nita, Krzysztof Nowosielski, Zdzislaw Kes, Olena Sidor, Piotr Oleksyk, Ewa Walaszczyk, Pawel Golec, Aleksandra Zaniewska, Tomasz Turek, Robert Krol:
Machine learning in the enrolment management process: a case study of using GANs in postgraduate students' structure prediction. KES 2022: 1350-1359 - [c2]Michal Nadolny, Ewa Walaszczyk, Karol Lopacinski:
Key preferences of IT system users in the context of prosumer attitudes. KES 2022: 3112-3121 - [c1]Aleksandra Markowska, Malgorzata Krzywonos, Maria Culjak, Ewa Walaszczyk, Karolina Mialkowska, Anna Chojnacka-Komorowska, Kamal Matouk, Michal Snierzynski:
Machine Learning for Environmental Life Cycle Costing. KES 2022: 4087-4096 - 2021
- [j1]Krzysztof Lutoslawski, Marcin Hernes, Joanna Radomska, Monika Hajdas, Ewa Walaszczyk, Agata Kozina:
Food Demand Prediction Using the Nonlinear Autoregressive Exogenous Neural Network. IEEE Access 9: 146123-146136 (2021)
Coauthor Index
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