3 citations · 7 across the 6 of their papers we have counts for
6 papers
Improved Differential Evolution based Feature Selection through Quantum, Chaos, and Lasso
Yelleti Vivek, Sri Krishna Vadlamani, Vadlamani Ravi +1
Modern deep learning continues to achieve outstanding performance on an astounding variety of high-dimensional tasks. In practice, this is obtained by fitting deep neural models to…
Quantum-Inspired Evolutionary Algorithms for Feature Subset Selection: A Comprehensive Survey
Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna
The clever hybridization of quantum computing concepts and evolutionary algorithms (EAs) resulted in a new field called quantum-inspired evolutionary algorithms (QIEAs). Unlike tra…
Causal Inference for Banking Finance and Insurance A Survey
Satyam Kumar, Yelleti Vivek, Vadlamani Ravi +1
Causal Inference plays an significant role in explaining the decisions taken by statistical models and artificial intelligence models. Of late, this field started attracting the at…
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…
ATM Fraud Detection using Streaming Data Analytics
Yelleti Vivek, Vadlamani Ravi, Abhay Anand Mane +1
Gaining the trust and confidence of customers is the essence of the growth and success of financial institutions and organizations. Of late, the financial industry is significantly…
Chaotic Variational Auto encoder-based Adversarial Machine Learning
Pavan Venkata Sainadh Reddy, Yelleti Vivek, Gopi Pranay +1
Machine Learning (ML) has become the new contrivance in almost every field. This makes them a target of fraudsters by various adversary attacks, thereby hindering the performance o…