research
∙
07/31/2023
Causal Inference for Banking Finance and Insurance A Survey
Causal Inference plays an significant role in explaining the decisions t...
share
research
∙
04/09/2023
FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid
Protecting data privacy is paramount in the fields such as finance, bank...
research
∙
03/08/2023
ATM Fraud Detection using Streaming Data Analytics
Gaining the trust and confidence of customers is the essence of the grow...
research
∙
02/25/2023
Chaotic Variational Auto encoder-based Adversarial Machine Learning
Machine Learning (ML) has become the new contrivance in almost every fie...
research
∙
12/15/2022
Chaotic Variational Auto Encoder based One Class Classifier for Insurance Fraud Detection
Of late, insurance fraud detection has assumed immense significance owin...
research
∙
11/19/2022
Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection
Gaining the trust of customers and providing them empathy are very criti...
research
∙
09/07/2022
Parallel and Streaming Wavelet Neural Networks for Classification and Regression under Apache Spark
Wavelet neural networks (WNN) have been applied in many fields to solve ...
research
∙
08/21/2022
Scalable mRMR feature selection to handle high dimensional datasets: Vertical partitioning based Iterative MapReduce framework
While building machine learning models, Feature selection (FS) stands ou...
research
∙
05/19/2022
Parallel bi-objective evolutionary algorithms for scalable feature subset selection via migration strategy under Spark
Feature subset selection (FSS) for classification is inherently a bi-obj...
research
∙
02/08/2022
Feature subset selection for Big Data via Chaotic Binary Differential Evolution under Apache Spark
Feature subset selection (FSS) using a wrapper approach is essentially a...
research
∙
06/26/2021