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06/13/2023
Causal Feature Engineering of Price Directions of Cryptocurrencies using Dynamic Bayesian Networks
Cryptocurrencies have gained popularity across various sectors, especial...
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03/26/2023
Modelling Determinants of Cryptocurrency Prices: A Bayesian Network Approach
The growth of market capitalisation and the number of altcoins (cryptocu...
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05/27/2022
Incorporating the Barzilai-Borwein Adaptive Step Size into Sugradient Methods for Deep Network Training
In this paper, we incorporate the Barzilai-Borwein step size into gradie...
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12/20/2020
A hybrid deep-learning approach for complex biochemical named entity recognition
Named entity recognition (NER) of chemicals and drugs is a critical doma...
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11/27/2019