Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels

Z Zhang, HN Dai, J Zhou, SK Mondal… - Expert Systems with …, 2021 - Elsevier
After the invention of Bitcoin as well as other blockchain-based peer-to-peer payment
systems, the cryptocurrency market has rapidly gained popularity. Consequently, the …

A Tree Augmented Naïve Bayes-based methodology for classifying cryptocurrency trends

A Dag, AZ Dag, A Asilkalkan, S Simsek… - Journal of Business …, 2023 - Elsevier
As the popularity of blockchain technology and investor confidence in Bitcoin (BTC)
increased in recent years, many individuals started making BTC and other cryptocurrency …

An interpretable decision-support systems for daily cryptocurrency trading

HA Dolatsara, E Kibis, M Caglar, S Simsek… - Expert Systems with …, 2022 - Elsevier
Abstract Cryptocurrencies, especially Bitcoin (BTC), have become an important commodity
for both individual and corporate investors within the last decade. The limited supply, high …

[HTML][HTML] A survey on uncertainty quantification in deep learning for financial time series prediction

T Blasco, JS Sánchez, V García - Neurocomputing, 2024 - Elsevier
Investors make decisions about buying and selling a financial asset based on available
information. The traditional approach in Deep Learning when trying to predict the behavior …

A survey on uncertainty quantification in deep learning for financial time series prediction

V García, T Blanco, JS Sánchez - Instituto de Ingeniería y Tecnología, 2024 - cathi.uacj.mx
Investors make decisions about buying and selling a financial asset based on available
information. The traditional approach in Deep Learning when trying to predict the behavior …