A brief review of portfolio optimization techniques
Portfolio optimization has always been a challenging proposition in finance and
management. Portfolio optimization facilitates in selection of portfolios in a volatile market …
management. Portfolio optimization facilitates in selection of portfolios in a volatile market …
[HTML][HTML] Protein–protein interaction prediction with deep learning: A comprehensive review
Most proteins perform their biological function by interacting with themselves or other
molecules. Thus, one may obtain biological insights into protein functions, disease …
molecules. Thus, one may obtain biological insights into protein functions, disease …
Artificial intelligence and blockchain integration in business: trends from a bibliometric-content analysis
Artificial intelligence (AI) and blockchain are the two disruptive technologies emerging from
the Fourth Industrial Revolution (IR4. 0) that have introduced radical shifts in the industry …
the Fourth Industrial Revolution (IR4. 0) that have introduced radical shifts in the industry …
Elastic decision transformer
Abstract This paper introduces Elastic Decision Transformer (EDT), a significant
advancement over the existing Decision Transformer (DT) and its variants. Although DT …
advancement over the existing Decision Transformer (DT) and its variants. Although DT …
Deep learning in the stock market—a systematic survey of practice, backtesting, and applications
K Olorunnimbe, H Viktor - Artificial Intelligence Review, 2023 - Springer
The widespread usage of machine learning in different mainstream contexts has made deep
learning the technique of choice in various domains, including finance. This systematic …
learning the technique of choice in various domains, including finance. This systematic …
Blockchain technology and artificial intelligence together: a critical review on applications
H Taherdoost - Applied Sciences, 2022 - mdpi.com
It is undeniable that the adoption of blockchain-and artificial intelligence (AI)-based
paradigms is proceeding at lightning speed. Both paradigms provide something new to the …
paradigms is proceeding at lightning speed. Both paradigms provide something new to the …
[HTML][HTML] A comprehensive review on multiple hybrid deep learning approaches for stock prediction
Numerous recent studies have attempted to create efficient mechanical trading systems
through the use of machine learning approaches for stock price estimation and portfolio …
through the use of machine learning approaches for stock price estimation and portfolio …
Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems
A Seyyedabbasi, R Aliyev, F Kiani, MU Gulle… - Knowledge-Based …, 2021 - Elsevier
This paper introduces three hybrid algorithms that help in solving global optimization
problems using reinforcement learning along with metaheuristic methods. Using the …
problems using reinforcement learning along with metaheuristic methods. Using the …
Unveiling the influence of artificial intelligence and machine learning on financial markets: A comprehensive analysis of AI applications in trading, risk management …
This study explores the adoption and impact of artificial intelligence (AI) and machine
learning (ML) in financial markets, utilizing a mixed-methods approach that includes a …
learning (ML) in financial markets, utilizing a mixed-methods approach that includes a …
Deep reinforcement learning for stock portfolio optimization by connecting with modern portfolio theory
With artificial intelligence and data quality development, portfolio optimization has improved
rapidly. Traditionally, researchers in the financial market have utilized the modern portfolio …
rapidly. Traditionally, researchers in the financial market have utilized the modern portfolio …