| Modeling and forecasting financial time series with ordered fuzzy candlesticks A Marszałek, T Burczyński Information sciences 273, 144-155, 2014 | 85 | 2014 |
| Financial fuzzy time series models based on ordered fuzzy numbers A Marszałek, T Burczyński Time Series Analysis, Modeling and Applications: A Computational …, 2013 | 17 | 2013 |
| Modelling financial high frequency data using ordered fuzzy numbers A Marszałek, T Burczyński International Conference on Artificial Intelligence and Soft Computing, 345-352, 2013 | 12 | 2013 |
| Forecasting day-ahead spot electricity prices using deep neural networks with attention mechanism A Marszałek, T Burczynski J. Smart. Environ. Green. Comput 1, 21-31, 2021 | 10 | 2021 |
| Ordered fuzzy candlesticks A Marszałek, T Burczyński Theory and Applications of Ordered Fuzzy Numbers: A Tribute to Professor …, 2017 | 5 | 2017 |
| Ordered fuzzy random variables: Definition and the concept of normality A Marszałek, T Burczyński Information Sciences 545, 415-426, 2021 | 3 | 2021 |
| Ordered fuzzy GARCH model for volatility forecasting A Marszałek, T Burczyński Advances in Fuzzy Logic and Technology 2017: Proceedings of: EUSFLAT-2017 …, 2018 | 3 | 2018 |
| Fuzzy Portfolio Diversification with Ordered Fuzzy Numbers A Marszałek, T Burczyński Artificial Intelligence and Soft Computing: 16th International Conference …, 2017 | 2 | 2017 |
| Modeling of limit order book data with ordered fuzzy numbers A Marszałek, T Burczyński Applied Soft Computing 158, 111555, 2024 | | 2024 |
| Rozmyte modelowanie danych finansowych z wykorzystaniem skierowanych liczb rozmytych A MARSZAŁEK | | |
