Yelleti Vivek

According to our database, Yelleti Vivek authored at least 37 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Improved differential evolution based feature selection through chaos, quantum, and lasso logistic regression.

Yelleti Vivek, Sri Krishna Vadlamani, Vadlamani Ravi, P. Radha Krishna

Quantum Mach. Intell., June, 2026

Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval.

Eshwar Sai Kandimalla, Sravan Chowdary Kankanala, Sumana Bhimineni, Hem Sundhar Korukunda, Vivek Yelleti

CoRR, May, 2026

Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems.

Aadarsh Senapati, Neha Kujur, Vivek Yelleti

CoRR, May, 2026

FeedbackLLM: Metadata driven Multi-Agentic Language Agnostic Test Case Generator with Evolving prompt and Coverage Feedback.

Kushal Jasti, Tejamani Prashanth Sahu, Rishitha Pentyala, Muvvala Mohit, Vivek Yelleti

CoRR, May, 2026

PPO guided Agentic Pipeline for Adaptive Prompt Selection and Test Case Generation.

Gourisetty Venkata Sai Koushik, Dama Aditya, Mahankali Harish Sai, Peddi Siddarhta, Shadab Ahmad, Vivek Yelleti

CoRR, May, 2026

FGDM: Reasoning Aware Multi-Agentic Framework for Software Bug Detection using Chain of Thought and Tree of Thought Prompting.

Srita Padmanabhuni, Bhargavi Karuturi, Jerusha Karen Indupalli, Santhan Reddy Chilla, Vivek Yelleti

CoRR, April, 2026

LLMDR: Large language model driven framework for missing data recovery in mixed data under low resource regime.

Durga Keshav, GVD Praneeth, Chetan Kumar Patruni, Vivek Yelleti, U. Sai Ram

CoRR, January, 2026

Log anomaly detection via Meta Learning and Prototypical Networks for Cross domain generalization.

Krishna Sharma, Vivek Yelleti

CoRR, January, 2026

Transformer based Multi-task Fusion Network for Food Spoilage Detection and Shelf life Forecasting.

Mounika Kanulla, Rajasree Dadigi, Sailaja Thota, Vivek Yelleti

CoRR, January, 2026

Parallel chaotic bi-objective evolutionary algorithms for scalable feature subset selection via migration strategy.

Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna

Appl. Soft Comput., 2026

Meta-agentic Framework for Software bug detection using Large Language Models.

Srita Padmanabhuni, Bhargavi Karuturi, Jerusha Karen Indupalli, Santhan Reddy Chilla, Vivek Yelleti

Proceedings of the 18th International Conference on COMmunication Systems and NETworks, 2026

2025

A Comprehensive Review of Causal Inference in Banking, Finance, and Insurance.

Satyam Kumar, Yelleti Vivek, Vadlamani Ravi, Indranil Bose

ACM Comput. Surv., December, 2025

Quantum-inspired evolutionary algorithms for feature subset selection: a comprehensive survey.

Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna

Quantum Inf. Process., July, 2025

ROSFD: Robust Online Streaming Fraud Detection with Resilience to Concept Drift in Data Streams.

Vivek Yelleti

CoRR, April, 2025

Online feature subset selection for mining feature streams in big data via incremental learning and evolutionary computation.

Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna

Swarm Evol. Comput., 2025

Feature subset selection for big data via parallel chaotic binary differential evolution and feature-level elitism.

Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna

Comput. Electr. Eng., 2025

Chaotic variational auto encoder-based adversarial machine learning.

Pavan Venkata Sainadh Reddy, Yelleti Vivek, Gopi Pranay, Vadlamani Ravi

Comput. Electr. Eng., 2025

Explainable One Class Classification for ATM Fraud Detection.

Yelleti Vivek, Vadlamani Ravi, Abhay Anand Mane, Laveti Ramesh Naidu

Proceedings of the 17th International Conference on COMmunication Systems and NETworks, 2025

2024

Deep Reinforcement Learning for Financial Forecasting in Static and Streaming Cases.

Aravilli Atchuta Ram, Sandarbh Yadav, Yelleti Vivek, Vadlamani Ravi

J. Inf. Knowl. Manag., December, 2024

Parallel and streaming wavelet neural networks for classification and regression under apache spark.

Eduru Harindra Venkatesh, Yelleti Vivek, Vadlamani Ravi, Shiva Shankar Orsu

Clust. Comput., June, 2024

Parallel fractional dominance MOEAs for feature subset selection in big data.

Yelleti Vivek, Vadlamani Ravi, Ponnuthurai Nagaratnam Suganthan, P. Radha Krishna

Swarm Evol. Comput., 2024

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

Yelleti Vivek, Sri Krishna Vadlamani, Vadlamani Ravi, P. Radha Krishna

CoRR, 2024

Novelty Detection and Feedback based Online Feature Subset Selection for Data Streams via Parallel Hybrid Particle Swarm Optimization Algorithm.

Vivek Yelleti, Vadlamani Ravi, P. Radha Krishna

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Online Feature Subset Selection in Streaming Features by Parallel Evolutionary Algorithms.

Vivek Yelleti, Vadlamani Ravi, P. Radha Krishna

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Explainable Artificial Intelligence and Causal Inference Based ATM Fraud Detection.

Yelleti Vivek, Vadlamani Ravi, Abhay Anand Mane, Laveti Ramesh Naidu

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.

Polaki Durga Prasad, Yelleti Vivek, Vadlamani Ravi

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.

Sarveswararao Vangala, Vadlamani Ravi, Yelleti Vivek

Expert Syst. Appl., 2023

Causal Inference for Banking Finance and Insurance A Survey.

Satyam Kumar, Yelleti Vivek, Vadlamani Ravi, Indranil Bose

CoRR, 2023

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

Polaki Durga Prasad, Yelleti Vivek, Vadlamani Ravi

CoRR, 2023

ATM Fraud Detection using Streaming Data Analytics.

Yelleti Vivek, Vadlamani Ravi, Abhay Anand Mane, Laveti Ramesh Naidu

CoRR, 2023

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

Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna

Clust. Comput., 2023

2022

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

K. S. N. V. K. Gangadhar, B. Akhil Kumar, Yelleti Vivek, Vadlamani Ravi

CoRR, 2022

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

Yelleti Vivek, P. S. V. S. Sai Prasad

CoRR, 2022

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

Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna

CoRR, 2022

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

Yelleti Vivek, Vadlamani Ravi, Pisipati Radhakrishna

CoRR, 2022

2021

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

Yelleti Vivek, Vadlamani Ravi, Pisipati Radhakrishna

CoRR, 2021

Stateful MapReduce Framework for mRMR Feature Selection Using Horizontal Partitioning.

Vivek Yelleti, P. S. V. S. Sai Prasad

Proceedings of the Pattern Recognition and Machine Intelligence, 2021