Yelleti Vivek
Orcid: 0000-0002-8387-6432
According to our database1,
Yelleti Vivek
authored at least 20 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Parallel and streaming wavelet neural networks for classification and regression under apache spark.
Clust. Comput., June, 2024
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
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
FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid.
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