Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022

C Zhang, NNA Sjarif, R Ibrahim - … Reviews: Data Mining and …, 2024 - Wiley Online Library
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 …

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 …

Deep learning-based cryptocurrency price prediction scheme with inter-dependent relations

S Tanwar, NP Patel, SN Patel, JR Patel… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

An advanced CNN-LSTM model for cryptocurrency forecasting

IE Livieris, N Kiriakidou, S Stavroyiannis, P Pintelas - Electronics, 2021 - mdpi.com
Nowadays, cryptocurrencies are established and widely recognized as an alternative
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 …

A novel explainable image classification framework: Case study on skin cancer and plant disease prediction

E Pintelas, M Liaskos, IE Livieris, S Kotsiantis… - Neural Computing and …, 2021 - Springer
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 …

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 …

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 …

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 …

[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 …