Expert systems and evolutionary computing for financial investing: A review
By Roy Rada. 2008
64 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Omer Berat Sezer
- M. Ugur Gudelek
- Enric Junqué de Fortuny
- David Martens
- Antanas Verikas
- Walter Daelemans
- Zivile Kalsyte
- Marija Bacauskiene
In Management Science and Operations Research
- M. Ugur Gudelek
- Omer Berat Sezer
- A. Ozbayoglu
- Longbing Cao
- Enric Junqué de Fortuny
- David Martens
- Antanas Verikas
- Zivile Kalsyte
Citations in the corpus
- Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 (2019, methodology): “Meanwhile, Rada reviewed EC applications along with Expert Systems for financial investing models [14].”
- Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey (2010, background): “Rada (2008) has recently reviewed papers related to applications of expert systems and evolutionary computing in finance published in the ‘‘Expert Systems with Applications’’ journal.”
- AI in Finance: Challenges, Techniques, and Opportunities (2021, methodology): “Further, computational intelligence techniques and methods inspired by nature and human systems and simulating natural and human intelligence are used to model, characterize, and optimize EcoFin mechanisms, strategies, and systems, and to manage and optimize portfolio and market forecasting, and so ”
- Evaluating and understanding text-based stock price prediction models (2014, background): “Prevalent applications include: forecasting petitions (Suh, Park, & Jeon, 2010), guiding financial investments (Rada, 2008) and sentiment detection (Tang, Tan, & Cheng, 2009; Junqué de Fortuny, De Smedt, Martens, & Daelemans, 2012).”