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2020 – today
- 2026
[j12]Yelleti Vivek
, Vadlamani Ravi, P. Radha Krishna:
Parallel chaotic bi-objective evolutionary algorithms for scalable feature subset selection via migration strategy. Appl. Soft Comput. 186: 114009 (2026)- [j11]Yelleti Vivek, Sri Krishna Vadlamani, Vadlamani Ravi, P. Radha Krishna:
Improved differential evolution based feature selection through chaos, quantum, and lasso logistic regression. Quantum Mach. Intell. 8(1): 13 (2026) - [c7]Srita Padmanabhuni, Bhargavi Karuturi, Jerusha Karen Indupalli, Santhan Reddy Chilla, Vivek Yelleti:
Meta-agentic Framework for Software bug detection using Large Language Models. COMSNETS 2026: 841-846 - [i22]Mounika Kanulla, Rajasree Dadigi, Sailaja Thota, Vivek Yelleti:
Transformer based Multi-task Fusion Network for Food Spoilage Detection and Shelf life Forecasting. CoRR abs/2601.13665 (2026) - [i21]Krishna Sharma, Vivek Yelleti:
Log anomaly detection via Meta Learning and Prototypical Networks for Cross domain generalization. CoRR abs/2601.14336 (2026) - [i20]Durga Keshav, GVD Praneeth, Chetan Kumar Patruni, Vivek Yelleti, U. Sai Ram:
LLMDR: Large language model driven framework for missing data recovery in mixed data under low resource regime. CoRR abs/2601.22916 (2026) - [i19]Srita Padmanabhuni, Bhargavi Karuturi, Jerusha Karen Indupalli, Santhan Reddy Chilla, Vivek Yelleti:
FGDM: Reasoning Aware Multi-Agentic Framework for Software Bug Detection using Chain of Thought and Tree of Thought Prompting. CoRR abs/2604.24831 (2026) - [i18]Gourisetty Venkata Sai Koushik, Dama Aditya, Mahankali Harish Sai, Peddi Siddarhta, Shadab Ahmad, Vivek Yelleti:
PPO guided Agentic Pipeline for Adaptive Prompt Selection and Test Case Generation. CoRR abs/2605.00942 (2026) - [i17]Kushal Jasti, Tejamani Prashanth Sahu, Rishitha Pentyala, Muvvala Mohit, Vivek Yelleti:
FeedbackLLM: Metadata driven Multi-Agentic Language Agnostic Test Case Generator with Evolving prompt and Coverage Feedback. CoRR abs/2605.01264 (2026) - [i16]Aadarsh Senapati, Neha Kujur, Vivek Yelleti:
Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems. CoRR abs/2605.05238 (2026) - [i15]Eshwar Sai Kandimalla, Sravan Chowdary Kankanala, Sumana Bhimineni, Hem Sundhar Korukunda, Vivek Yelleti:
Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval. CoRR abs/2605.16324 (2026) - 2025
- [j10]Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna:
Feature subset selection for big data via parallel chaotic binary differential evolution and feature-level elitism. Comput. Electr. Eng. 123: 110232 (2025) - [j9]Pavan Venkata Sainadh Reddy, Yelleti Vivek, Gopi Pranay, Vadlamani Ravi:
Chaotic variational auto encoder-based adversarial machine learning. Comput. Electr. Eng. 128: 110646 (2025) - [j8]Satyam Kumar, Yelleti Vivek, Vadlamani Ravi, Indranil Bose:
A Comprehensive Review of Causal Inference in Banking, Finance, and Insurance. ACM Comput. Surv. 57(12): 319:1-319:36 (2025) - [j7]Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna:
Quantum-inspired evolutionary algorithms for feature subset selection: a comprehensive survey. Quantum Inf. Process. 24(7): 196 (2025) - [j6]Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna:
Online feature subset selection for mining feature streams in big data via incremental learning and evolutionary computation. Swarm Evol. Comput. 94: 101896 (2025) - [c6]Yelleti Vivek, Vadlamani Ravi, Abhay Anand Mane, Laveti Ramesh Naidu:
Explainable One Class Classification for ATM Fraud Detection. COMSNETS 2025: 114-119 - [i14]Vivek Yelleti:
ROSFD: Robust Online Streaming Fraud Detection with Resilience to Concept Drift in Data Streams. CoRR abs/2504.10229 (2025) - 2024
- [j5]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) - [j4]Aravilli Atchuta Ram, Sandarbh Yadav, Yelleti Vivek, Vadlamani Ravi:
Deep Reinforcement Learning for Financial Forecasting in Static and Streaming Cases. J. Inf. Knowl. Manag. 23(6): 2450080:1-2450080:37 (2024) - [j3]Yelleti Vivek, Vadlamani Ravi, Ponnuthurai Nagaratnam Suganthan, P. Radha Krishna:
Parallel fractional dominance MOEAs for feature subset selection in big data. Swarm Evol. Comput. 91: 101687 (2024) - [c5]Polaki Durga Prasad, Yelleti Vivek, Vadlamani Ravi:
FedPNN: One-Shot Federated Classifier to Predict Credit Card Fraud and Bankruptcy in Banks. CIFEr 2024: 1-8 - [c4]Yelleti Vivek, Vadlamani Ravi, Abhay Anand Mane, Laveti Ramesh Naidu:
Explainable Artificial Intelligence and Causal Inference Based ATM Fraud Detection. CIFEr 2024: 1-7 - [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 - [i13]Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna:
Quantum-Inspired Evolutionary Algorithms for Feature Subset Selection: A Comprehensive Survey. CoRR abs/2407.17946 (2024) - [i12]Yelleti Vivek, Sri Krishna Vadlamani, Vadlamani Ravi, P. Radha Krishna:
Improved Differential Evolution based Feature Selection through Quantum, Chaos, and Lasso. CoRR abs/2408.10693 (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)
Coauthor Index
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