Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022
Accurately predicting the prices of financial time series is essential and challenging for the
financial sector. Owing to recent advancements in deep learning techniques, deep learning …
financial sector. Owing to recent advancements in deep learning techniques, deep learning …
Past, present, and future of the application of machine learning in cryptocurrency research
YS Ren, CQ Ma, XL Kong, K Baltas… - Research in International …, 2022 - Elsevier
Cryptocurrency has captured the interest of financial scholars and become a major research
topic in blockchain. In cryptocurrency research, the use of machine learning algorithms is …
topic in blockchain. In cryptocurrency research, the use of machine learning algorithms is …
Deep learning-based cryptocurrency price prediction scheme with inter-dependent relations
Blockchain technology is becoming increasingly popular because of its applications in
various fields. It gives an edge over the traditional centralized methods as it provides …
various fields. It gives an edge over the traditional centralized methods as it provides …
An advanced CNN-LSTM model for cryptocurrency forecasting
Nowadays, cryptocurrencies are established and widely recognized as an alternative
exchange currency method. They have infiltrated most financial transactions and as a result …
exchange currency method. They have infiltrated most financial transactions and as a result …
Deep learning in predicting cryptocurrency volatility
V D'Amato, S Levantesi, G Piscopo - Physica A: Statistical Mechanics and …, 2022 - Elsevier
This paper focuses on the prediction of cryptocurrency volatility. The stock market volatility
represents a very influential aspect that affects a wide range of decisions in business and …
represents a very influential aspect that affects a wide range of decisions in business and …
A novel explainable image classification framework: Case study on skin cancer and plant disease prediction
An explainable/interpretable machine learning model is able to make reasoning about its
predictions in understandable terms to humans. These properties are essential in order to …
predictions in understandable terms to humans. These properties are essential in order to …
Cryptocurrencies trading algorithms: A review
I Ruiz Roque da Silva, EH Junior… - Journal of …, 2022 - Wiley Online Library
This study conducts a bibliometric analysis and systematic review of cryptocurrency trading
algorithms to identify existing gaps in the area. From our standpoint, this is the first study to …
algorithms to identify existing gaps in the area. From our standpoint, this is the first study to …
How well do investor sentiment and ensemble learning predict Bitcoin prices?
P Hajek, L Hikkerova, JM Sahut - Research in International Business and …, 2023 - Elsevier
Investor sentiment is widely recognized as the major determinant of cryptocurrency prices.
Although earlier research has revealed the influence of investor sentiment on cryptocurrency …
Although earlier research has revealed the influence of investor sentiment on cryptocurrency …
An evaluation framework for synthetic data generation models
IE Livieris, N Alimpertis, G Domalis… - … Conference on Artificial …, 2024 - Springer
Nowadays, the use of synthetic data has gained popularity as a cost-efficient strategy for
enhancing data augmentation for improving machine learning models performance as well …
enhancing data augmentation for improving machine learning models performance as well …
[PDF][PDF] Bitcoin price prediction using machine learning and artificial neural network model
A Ho, R Vatambeti… - Indian Journal …, 2021 - sciresol.s3.us-east-2.amazonaws …
Objective: This paper explains the working of the linear regression and Long Short-Term
Memory model in predicting the value of a Bitcoin. Due to its raising popularity, Bitcoin has …
Memory model in predicting the value of a Bitcoin. Due to its raising popularity, Bitcoin has …