Yelleti Vivek

Orcid: 0000-0002-8387-6432

According to our database1, Yelleti Vivek authored at least 20 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Parallel and streaming wavelet neural networks for classification and regression under apache spark.
Clust. Comput., June, 2024

Parallel fractional dominance MOEAs for feature subset selection in big data.
Swarm Evol. Comput., 2024

Improved Differential Evolution based Feature Selection through Quantum, Chaos, and Lasso.
CoRR, 2024

Quantum-Inspired Evolutionary Algorithms for Feature Subset Selection: A Comprehensive Survey.
CoRR, 2024

Novelty Detection and Feedback based Online Feature Subset Selection for Data Streams via Parallel Hybrid Particle Swarm Optimization Algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Online Feature Subset Selection in Streaming Features by Parallel Evolutionary Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Explainable Artificial Intelligence and Causal Inference Based ATM Fraud Detection.
Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2024

FedPNN: One-Shot Federated Classifier to Predict Credit Card Fraud and Bankruptcy in Banks.
Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2024

2023
ATM cash demand forecasting in an Indian bank with chaos and hybrid deep learning networks.
Expert Syst. Appl., 2023

Causal Inference for Banking Finance and Insurance A Survey.
CoRR, 2023

FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid.
CoRR, 2023

ATM Fraud Detection using Streaming Data Analytics.
CoRR, 2023

Chaotic Variational Auto encoder-based Adversarial Machine Learning.
CoRR, 2023

Scalable feature subset selection for big data using parallel hybrid evolutionary algorithm based wrapper under apache spark environment.
Clust. Comput., 2023

2022
Chaotic Variational Auto Encoder based One Class Classifier for Insurance Fraud Detection.
CoRR, 2022

Scalable mRMR feature selection to handle high dimensional datasets: Vertical partitioning based Iterative MapReduce framework.
CoRR, 2022

Parallel bi-objective evolutionary algorithms for scalable feature subset selection via migration strategy under Spark.
CoRR, 2022

Feature subset selection for Big Data via Chaotic Binary Differential Evolution under Apache Spark.
CoRR, 2022

2021
Scalable Feature Subset Selection for Big Data using Parallel Hybrid Evolutionary Algorithm based Wrapper in Apache Spark.
CoRR, 2021

Stateful MapReduce Framework for mRMR Feature Selection Using Horizontal Partitioning.
Proceedings of the Pattern Recognition and Machine Intelligence, 2021


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