no code implementations • 31 Jul 2023 • Satyam Kumar, Yelleti Vivek, Vadlamani Ravi, Indranil Bose
This paper presents a comprehensive survey of 37 papers published during 1992-2023 and concerning the application of causal inference to banking, finance, and insurance.
no code implementations • 9 Apr 2023 • Polaki Durga Prasad, Yelleti Vivek, Vadlamani Ravi
Protecting data privacy is paramount in the fields such as finance, banking, and healthcare.
no code implementations • 8 Mar 2023 • Yelleti Vivek, Vadlamani Ravi, Abhay Anand Mane, Laveti Ramesh Naidu
In both contexts, RF turned out to be the best model.
no code implementations • 25 Feb 2023 • Pavan Venkata Sainadh Reddy, Yelleti Vivek, Gopi Pranay, Vadlamani Ravi
In this paper, we performed VAE-based adversary sample generation and applied it to various problems related to finance and cybersecurity domain-related problems such as loan default, credit card fraud, and churn modelling, etc., We performed both Evasion and Data-Poison attacks on Logistic Regression (LR) and Decision Tree (DT) models.
no code implementations • 15 Dec 2022 • K. S. N. V. K. Gangadhar, B. Akhil Kumar, Yelleti Vivek, Vadlamani Ravi
The effectiveness of C-VAE is demonstrated on the health insurance fraud and auto insurance datasets.
no code implementations • 19 Nov 2022 • Yelleti Vivek, Vadlamani Ravi, Abhay Anand Mane, Laveti Ramesh Naidu
Owing to the rarity of fraudulent activities, Fraud detection can be formulated as either a binary classification problem or One class classification (OCC).
no code implementations • 7 Sep 2022 • Eduru Harindra Venkatesh, Yelleti Vivek, Vadlamani Ravi, Orsu Shiva Shankar
After the advent of big data, as data gets generated at a brisk pace, it is imperative to analyze it as soon as it is generated owing to the fact that the nature of the data may change dramatically in short time intervals.
no code implementations • 8 Feb 2022 • Yelleti Vivek, Vadlamani Ravi, P. Radhakrishna
Hence, we embed Logistic and Tent chaotic maps into the BDE and named it as Chaotic Binary Differential Evolution (CBDE).
no code implementations • 26 Jun 2021 • Yelleti Vivek, Vadlamani Ravi, Pisipati Radhakrishna
Owing to the emergence of large datasets, applying current sequential wrapper-based feature subset selection (FSS) algorithms increases the complexity.