Yelleti Vivek

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Mapreduce Framework

Hybrid Evolutionary Algorithm

Feature Subset Selection

Top Venues

Expert Syst. Appl.

Publications

Eduru Harindra Venkatesh, Yelleti Vivek, Vadlamani Ravi, Shiva Shankar Orsu
Parallel and streaming wavelet neural networks for classification and regression under apache spark. Clust. Comput. 27 (3) (2024)
Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna
Quantum-Inspired Evolutionary Algorithms for Feature Subset Selection: A Comprehensive Survey. CoRR (2024)
Satyam Kumar, Yelleti Vivek, Vadlamani Ravi, Indranil Bose
Causal Inference for Banking Finance and Insurance A Survey. CoRR (2023)
Pavan Venkata Sainadh Reddy, Yelleti Vivek, Gopi Pranay, Vadlamani Ravi
Chaotic Variational Auto encoder-based Adversarial Machine Learning. CoRR (2023)
Sarveswararao Vangala, Vadlamani Ravi, Yelleti Vivek
ATM cash demand forecasting in an Indian bank with chaos and hybrid deep learning networks. Expert Syst. Appl. 211 (2023)
Yelleti Vivek, Vadlamani Ravi, Abhay Anand Mane, Laveti Ramesh Naidu
ATM Fraud Detection using Streaming Data Analytics. CoRR (2023)
Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna
Scalable feature subset selection for big data using parallel hybrid evolutionary algorithm based wrapper under apache spark environment. Clust. Comput. 26 (3) (2023)
Polaki Durga Prasad, Yelleti Vivek, Vadlamani Ravi
FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid. CoRR (2023)
Eduru Harindra Venkatesh, Yelleti Vivek, Vadlamani Ravi, Shiva Shankar Orsu
Parallel and Streaming Wavelet Neural Networks for Classification and Regression under Apache Spark. CoRR (2022)
K. S. N. V. K. Gangadhar, B. Akhil Kumar, Yelleti Vivek, Vadlamani Ravi
Chaotic Variational Auto Encoder based One Class Classifier for Insurance Fraud Detection. CoRR (2022)
Yelleti Vivek, P. S. V. S. Sai Prasad
Scalable mRMR feature selection to handle high dimensional datasets: Vertical partitioning based Iterative MapReduce framework. CoRR (2022)
Yelleti Vivek, Vadlamani Ravi, Abhay Anand Mane, Laveti Ramesh Naidu
Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection. CoRR (2022)
Yelleti Vivek, Vadlamani Ravi, P. Radhakrishna
Parallel bi-objective evolutionary algorithms for scalable feature subset selection via migration strategy under Spark. CoRR (2022)
Yelleti Vivek, Vadlamani Ravi, Pisipati Radhakrishna
Feature subset selection for Big Data via Chaotic Binary Differential Evolution under Apache Spark. CoRR (2022)
Yelleti Vivek, Vadlamani Ravi, Pisipati Radhakrishna
Scalable Feature Subset Selection for Big Data using Parallel Hybrid Evolutionary Algorithm based Wrapper in Apache Spark. CoRR (2021)