Author of the publication

Forecasting cryptocurrencies volatility using statistical and machine learning methods: A comparative study.

, , , and . Appl. Soft Comput., (January 2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

A Method of Generating Random Weights and Biases in Feedforward Neural Networks with Random Hidden Nodes.. CoRR, (2017)Variable Selection in the Kernel Regression Based Short-Term Load Forecasting Model.. ICAISC (2), volume 7268 of Lecture Notes in Computer Science, page 557-563. Springer, (2012)Artificial Immune System With Local Feature Selection for Short-Term Load Forecasting.. IEEE Trans. Evol. Comput., 21 (1): 116-130 (2017)Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It.. CoRR, (2019)Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters.. CoRR, (2019)Forecasting Cryptocurrency Prices Using Contextual ES-adRNN with Exogenous Variables., , and . ICCS (1), volume 14073 of Lecture Notes in Computer Science, page 450-464. Springer, (2023)Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting., and . IJCNN, page 1-8. IEEE, (2020)Artificial Immune System for Short-Term Electric Load Forecasting.. ICAISC, volume 5097 of Lecture Notes in Computer Science, page 1007-1017. Springer, (2008)ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting., , and . CoRR, (2021)A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting., , and . IEEE Trans. Neural Networks Learn. Syst., 33 (7): 2879-2891 (2022)