المؤلفون: Alaminos, David, Ignacio Peliez, Jose, Belen Salas, M., Fernandez-Gamez, Manuel A.

المساهمون: Alaminos, David Univ Malaga, PhD Program Mech Engn & Energy Efficiency, Malaga 29071, Spain, Alaminos, David Univ Pontificia Comillas, Dept Financial Management, Madrid 28015, Spain, Ignacio Peliez, Jose Univ Malaga, Biomed Res Inst IBIMA, Dept Languages & Comp Sci, Malaga 29071, Spain, Ignacio Peliez, Jose Univ Malaga, Appl Social Res Ctr CISA, Malaga 29071, Spain, Belen Salas, M. Univ Malaga, PhD Program Econ & Business, Malaga 29071, Spain, Belen Salas, M. Univ Malaga, Dept Finance & Accounting, Malaga 29071, Spain, Fernandez-Gamez, Manuel A. Univ Malaga, Dept Finance & Accounting, Malaga 29071, Spain, Fernandez-Gamez, Manuel A. Univ Malaga, Catedra Econ & Finanzas Sostenibles, Malaga 29071, Spain, Catedra de Economia y Finanzas Sostenibles, Universidad de Malaga, Spain

مصطلحات موضوعية: sovereign debt crisis prediction, currency crisis prediction, deep learning neural decision trees, fuzzy decision trees, extreme gradient boosting, country reputation, Early warning systems, Artificial neural-networks, Banking crises, Performance, Countries, Indicator, Industry

Relation: http://hdl.handle.net/10668/19332; https://www.mdpi.com/2073-8994/13/4/652/pdf?version=1618282201; 643651900001

الاتاحة: http://hdl.handle.net/10668/19332
https://doi.org/10.3390/sym13040652
https://www.mdpi.com/2073-8994/13/4/652/pdf?version=1618282201