Deep learningFinanceComputational intelligenceMachine learningFinancial applicationsAlgorithmic tradingPortfolio managementRisk assessmentFraud detectionComputational intelligence in finance has been a very popular topic for both academia and financial industry in the last few decades. Numerous studies have been ...
内容提示: Applied Soft Computing Journal 93 (2020) 106384Contents lists available at ScienceDirectAppliedSoftComputingJournaljournal homepage: www.elsevier.com/locate/asocReview articleDeeplearningforfinancialapplications:AsurveyAhmet Murat Ozbayoglu∗ , Mehmet Ugur Gudelek, Omer Berat SezerDepartment of ...
What financial application areas are of interest to DL community? Response: Financial text mining, Algo-trading, risk assessments, sentiment analysis, portfolio management and fraud detection are among the most studied areas of finance research. (Please check Figure 8) How mature is the existing res...
Deep learning for financial applications : A survey Applied Soft Computing(IF7.2)Pub Date : 2020-05-11, DOI:10.1016/j.asoc.2020.106384 Ahmet Murat Ozbayoglu , Mehmet Ugur Gudelek , Omer Berat Sezer Computational intelligence in finance has been a very popular topic for both academia and financi...
计算机视觉的深度特征学习与自适应 Deep Feature Learning and Adaptation for Computer Vision 热度: DeepLearningforFinancialApplications:ASurvey AhmetMuratOzbayoglu a ,MehmetUgurGudelek a ,OmerBeratSezer a a DepartmentofComputerEngineering,TOBBUniversityofEconomicsandTechnology,Ankara,Turkey ...
Computational intelligence in finance has been a very popular topic for both academia and financial industry in the last few decades. Numerous studies have been published resulting in various models. Meanwhile, within the Machine Learning (ML) field, Deep Learning (DL) started getting a lot of at...
Financial markets present a complex and dynamic environment, making them an ideal testing ground for artificial intelligence (AI) and machine learning techniques. The integration of quantitative strategies with AI methods, particularly deep reinforcement learning (DRL), has shown promise in enhancing tradi...
financial market prices. To address this shortfall, in the current study, we will use tree-based ensemble models such as random forest and LightGBM compared with 12 deep-learning models and two other machine-learning models (KNN and SVR) to forecast daily crude oil and precious metals market ...
financial market prices. To address this shortfall, in the current study, we will use tree-based ensemble models such as random forest and LightGBM compared with 12 deep-learning models and two other machine-learning models (KNN and SVR) to forecast daily crude oil and precious metals market ...
Financial Security The surge of online transactions has increased the rate of fraudulent activities too. With Deep Learning algorithms being excellent at detecting frauds, financial security is being achieved simultaneously. Robo Advisory Robo-advisory is nothing but the algorithms at play for advising th...