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Yelleti Vivek
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2020 – today
- 2024
- [j3]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): 3451-3469 (2024) - [c3]Vivek Yelleti, Vadlamani Ravi, P. Radha Krishna:
Online Feature Subset Selection in Streaming Features by Parallel Evolutionary Algorithms. GECCO Companion 2024: 113-114 - [c2]Vivek Yelleti
, Vadlamani Ravi
, P. Radha Krishna
:
Novelty Detection and Feedback based Online Feature Subset Selection for Data Streams via Parallel Hybrid Particle Swarm Optimization Algorithm. GECCO Companion 2024: 227-230 - [i12]Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna:
Quantum-Inspired Evolutionary Algorithms for Feature Subset Selection: A Comprehensive Survey. CoRR abs/2407.17946 (2024) - 2023
- [j2]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): 1949-1983 (2023) - [j1]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: 118645 (2023) - [i11]Pavan Venkata Sainadh Reddy, Yelleti Vivek, Gopi Pranay, Vadlamani Ravi:
Chaotic Variational Auto encoder-based Adversarial Machine Learning. CoRR abs/2302.12959 (2023) - [i10]Yelleti Vivek, Vadlamani Ravi, Abhay Anand Mane, Laveti Ramesh Naidu:
ATM Fraud Detection using Streaming Data Analytics. CoRR abs/2303.04946 (2023) - [i9]Polaki Durga Prasad, Yelleti Vivek, Vadlamani Ravi:
FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid. CoRR abs/2304.04147 (2023) - [i8]Satyam Kumar
, Yelleti Vivek, Vadlamani Ravi, Indranil Bose:
Causal Inference for Banking Finance and Insurance A Survey. CoRR abs/2307.16427 (2023) - 2022
- [i7]Yelleti Vivek, Vadlamani Ravi, Pisipati Radhakrishna:
Feature subset selection for Big Data via Chaotic Binary Differential Evolution under Apache Spark. CoRR abs/2202.03795 (2022) - [i6]Yelleti Vivek
, Vadlamani Ravi, P. Radha Krishna:
Parallel bi-objective evolutionary algorithms for scalable feature subset selection via migration strategy under Spark. CoRR abs/2205.09465 (2022) - [i5]Yelleti Vivek
, P. S. V. S. Sai Prasad:
Scalable mRMR feature selection to handle high dimensional datasets: Vertical partitioning based Iterative MapReduce framework. CoRR abs/2208.09901 (2022) - [i4]Eduru Harindra Venkatesh, Yelleti Vivek
, Vadlamani Ravi, Shiva Shankar Orsu:
Parallel and Streaming Wavelet Neural Networks for Classification and Regression under Apache Spark. CoRR abs/2209.03056 (2022) - [i3]Yelleti Vivek, Vadlamani Ravi, Abhay Anand Mane, Laveti Ramesh Naidu:
Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection. CoRR abs/2211.10595 (2022) - [i2]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 abs/2212.07802 (2022) - 2021
- [c1]Vivek Yelleti, P. S. V. S. Sai Prasad:
Stateful MapReduce Framework for mRMR Feature Selection Using Horizontal Partitioning. PReMI 2021: 317-327 - [i1]Yelleti Vivek, Vadlamani Ravi, Pisipati Radhakrishna:
Scalable Feature Subset Selection for Big Data using Parallel Hybrid Evolutionary Algorithm based Wrapper in Apache Spark. CoRR abs/2106.14007 (2021)
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last updated on 2024-08-25 20:05 CEST by the dblp team
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