Strategic insights: mapping the terrain of artificial intelligence (AI) in banking through mixed method approach
Purpose The purpose of this paper is to supplement and update previously published
articles about artificial intelligence (AI) instruments and operations in banking sectors with …
articles about artificial intelligence (AI) instruments and operations in banking sectors with …
Detection of phishing websites using a novel twofold ensemble model
K Nagaraj, B Bhattacharjee, A Sridhar… - Journal of Systems and …, 2018 - emerald.com
Purpose Phishing is one of the major threats affecting businesses worldwide in current
times. Organizations and customers face the hazards arising out of phishing attacks …
times. Organizations and customers face the hazards arising out of phishing attacks …
Support vector machines for credit risk assessment with imbalanced datasets
S Khemakhem, Y Boujelbene - International Journal of Data …, 2018 - inderscienceonline.com
Support vector machines (SVM) have a limited performance in credit scoring issues due to
the imbalanced data sets in which the number of unpaid is lower than paid loans. In this …
the imbalanced data sets in which the number of unpaid is lower than paid loans. In this …
Ensembling of Performance Metrics in Credit Risk Assessment Using Machine Learning Analytics
A major financial risk to commercial banks is credit risk, which arises when borrowers default
on their debt. Accurately predicting the credit risk of their clients is a key difficulty faced by …
on their debt. Accurately predicting the credit risk of their clients is a key difficulty faced by …
An empirical study on credit risk assessment using ensemble classifiers
A Bhattacharya, SK Parui, SK Biswas… - … Conference on Advances …, 2022 - Springer
Credit risk assessment is the major concerning issue for every financial organization. A
simple change in evaluation procedure can have a large influence on the financial market …
simple change in evaluation procedure can have a large influence on the financial market …
Most preferable combination of explicit drift detection approaches with different classifiers for mining concept drifting data streams
R Srivastava, V Mittal - International Journal of Data …, 2019 - inderscienceonline.com
Sensors in the real-world applications are the major sources of big data streams with varying
underlying data distribution. Continuously generated time varying data streams are …
underlying data distribution. Continuously generated time varying data streams are …
[PDF][PDF] Journal of Systems and Information Technology
K Nagaraj, B Bhattacharjee, A Sridhar, S GS - researchgate.net
Purpose–Phishing is one of the major threats affecting businesses worldwide in current
times. Organizations and customers face the hazards arising out of phishing attacks …
times. Organizations and customers face the hazards arising out of phishing attacks …
Modelo interpretable de aprendizaje de máquina para la predicción de calificaciones crediticias corporativas
MÁ Rodríguez Fonseca - repositorio.unal.edu.co
Las calificaciones crediticias corporativas son uno de los indicadores financieros de mayor
relevancia en el análisis de riesgo crediticio. Estas son generadas por diversas agencias …
relevancia en el análisis de riesgo crediticio. Estas son generadas por diversas agencias …
[PDF][PDF] Credit risk assessment with imbalanced data sets using SVMs
S Singh - 2022 - academia.edu
Support Vector Machine or SVM is one of the most popular supervised learning algorithms,
which is used for classification as well as regression problems. Support vector machines …
which is used for classification as well as regression problems. Support vector machines …