Strategic insights: mapping the terrain of artificial intelligence (AI) in banking through mixed method approach

R Meena, AK Mishra, RK Raut - VINE Journal of Information and …, 2024 - emerald.com
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 …

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 …

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 …

Ensembling of Performance Metrics in Credit Risk Assessment Using Machine Learning Analytics

A Bhattacharya, SK Biswas, A Mandal… - … Conference on Computing …, 2024 - Springer
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 …

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 …

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 …

[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 …

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 …

[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 …