6 citations · 22 across the 16 of their papers we have counts for
6 papers · 1 filter
FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid
Polaki Durga Prasad, Yelleti Vivek, Vadlamani Ravi
Protecting data privacy is paramount in the fields such as finance, banking, and healthcare. Federated Learning (FL) has attracted widespread attention due to its decentralized, di…
Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection
Yelleti Vivek, Vadlamani Ravi, Abhay Anand Mane +1
Gaining the trust of customers and providing them empathy are very critical in the financial domain. Frequent occurrence of fraudulent activities affects these two factors. Hence,…
Privacy-Preserving Wavelet Neural Network with Fully Homomorphic Encryption
Syed Imtiaz Ahamed, Vadlamani Ravi
The main aim of Privacy-Preserving Machine Learning (PPML) is to protect the privacy and provide security to the data used in building Machine Learning models. There are various te…
Nowcasting the Financial Time Series with Streaming Data Analytics under Apache Spark
Mohammad Arafat Ali Khan, Chandra Bhushan, Vadlamani Ravi +2
This paper proposes nowcasting of high-frequency financial datasets in real-time with a 5-minute interval using the streaming analytics feature of Apache Spark. The proposed 2 stag…
FinGAN: Generative Adversarial Network for Analytical Customer Relationship Management in Banking and Insurance
Prateek Kate, Vadlamani Ravi, Akhilesh Gangwar
Churn prediction in credit cards, fraud detection in insurance, and loan default prediction are important analytical customer relationship management (ACRM) problems. Since frauds,…
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia +5
Deep learning has solved a problem that as little as five years ago was thought by many to be intractable - the automatic recognition of patterns in data; and it can do so with acc…