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~isPartOf:"Journal of time series econometrics"
~isPartOf:"Working papers"
~subject:"Algorithmus"
~subject:"Künstliche Intelligenz"
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Journal of time series econometrics
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Mean absolute directional loss as a new loss function for machine learning problems in algorithmic investment strategies
Michańków, Jakub
;
Sakowski, Paweł
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014448222
Saved in:
2
The performance of time series forecasting based on classical and machine learning methods for S&P 500 index
Uzzal, Maudud Hassan
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014305886
Saved in:
3
Ensembled LSTM with walk forward optimization in algorithmic trading
Chojnacki, Karol
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014308890
Saved in:
4
Machine learning and fundraising : applications of artificial neural networks
Barro, Diana
;
Barzanti, Luca
;
Corazza, Marco
;
Nardon, …
-
2023
Persistent link: https://www.econbiz.de/10014534232
Saved in:
5
A comparison of LSTM and GRU architectures with novel walk-forward approach to algorithmic investment strategy
Baranochnikov, Illia
;
Ślepaczuk, Robert
-
2022
Persistent link: https://www.econbiz.de/10013473692
Saved in:
6
Daily and intraday application of various architectures of the LSTM model in algorithmic investment strategies on Bitcoin and the S&P 500 Index
Kryńska, Katarzyna
;
Ślepaczuk, Robert
-
2022
Persistent link: https://www.econbiz.de/10013473995
Saved in:
7
Application of machine learning in quantitative investment strategies on global stock markets
Grudniewicz, Jan
;
Ślepaczuk, Robert
-
2021
Persistent link: https://www.econbiz.de/10012816704
Saved in:
8
Towards better understanding of complex machine learning models using explainable Artificial Intelligence (XAI) : case of Credit Scoring modelling
Kłosok, Marta
;
Chlebus, Marcin
-
2020
Persistent link: https://www.econbiz.de/10012322173
Saved in:
9
Artificial Neural Networks Performance in WIG20 Index Options Pricing
Wysockia, Maciej
;
Ślepaczuk, Robert
-
2020
Persistent link: https://www.econbiz.de/10012322176
Saved in:
10
Fractional differentiation and its use in machine learning
Gajda, Janusz
;
Walasek, Rafał
-
2020
Persistent link: https://www.econbiz.de/10012322246
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