| Overview of software defect prediction using machine learning algorithms N Kalaivani, R Beena International Journal of Pure and Applied Mathematics 118 (20), 3863-3873, 2018 | 48 | 2018 |
| Code coverage based test case selection and prioritization R Beena, S Sarala arXiv preprint arXiv:1312.2083, 2013 | 34 | 2013 |
| A critique on software cost estimation K Rajeswari, DR Beena International Journal of Pure and Applied Mathematics 118 (20), 3851-3862, 2018 | 11 | 2018 |
| An Efficient Specific Update Search Domain based Glowworm Swarm Optimization for Test Case Prioritization. B Raman, S Subramani International Arab Journal of Information Technology (IAJIT) 12, 2015 | 6 | 2015 |
| Stock Market Forecasting from Multi-Source Data using Tolerance Based Multi-Agent Deep Reinforcement Learning RB C. Bhuvaneshwari International Journal of Engineering and Advanced Technology (IJEAT) 9 (3 …, 2020 | 4 | 2020 |
| MULTI OBJECTIVE TEST CASE MINIMIZATION COLLABORATED WITH CLUSTERING AND MINIMAL HITTING SET. R Beena, S Sarala Journal of Theoretical & Applied Information Technology 69 (1), 2014 | 3 | 2014 |
| Enhancing Prediction of Drug Indication and Side Effects through Named Entity Recognition and Jointly Learning of Syntactic Structures of Sentences D Mohanapriya, R Beena Enhancing Prediction of Drug Indication and Side Effects through Named …, 2020 | 2 | 2020 |
| Improved SMOTE and Optimized Siamese Neural Networks for Class Imbalanced Heterogeneous Cross Project Defect Prediction. N Kalaivani, R Beena International Journal of Intelligent Engineering & Systems 15 (2), 2022 | 1 | 2022 |
| Improving topic modelling for Prediction of Drug Indication and Side effects MD Mohanapriya, R Beena Annals of the Romanian Society for Cell Biology, 11542-11558, 2021 | 1 | 2021 |
| TFCMA-DRL: Tolerant Flexible Coordinated Multi-Agent Deep Reinforcement Learning for Prediction of Future Stock Price Trends from Multi-Source Data. C Bhuvaneshwari, R Beena International Journal of Intelligent Engineering & Systems 14 (2), 2021 | 1 | 2021 |
| Predicting Drug Indications and Side Effects Using Deep Learning and Transfer Learning MD Beena R. Alinteri Journal of Agriculture Science 36 (1), 281-289, 2021 | 1* | 2021 |
| A Personalized Approach for Code Coverage based Test Suite Selection R Beena, S Sarala 2012 International Conference on Computer and Software Modeling (ICCSM 2012 …, 2012 | 1 | 2012 |
| Targeted Sentiments and Hierarchical Events based Learning Model for Stock Market Forecasting from Multi-Source Data RB C. Bhuvaneshwari International Journal of Innovative Technology and Exploring Engineering …, 2020 | | 2020 |
| Survey on Pharmacovigilance System for Predicting Drug Indications and Side Effects D Mohanapriya, R Beena Survey on Pharmacovigilance System for Predicting Drug Indications and Side …, 2020 | | 2020 |
| Boosted Relief Feature Subset Selection and Heterogeneous Cross Project Defect Prediction using Firefly Particle Swarm Optimization NKDR Beena International Journal of Recent Technology and Engineering 8 (5), 2605-2613, 2020 | | 2020 |
| A Study on Data Mining Techniques and Tools for Big Data R Beena, C Bhuvaneshwari Data Mining and Knowledge Engineering, 65-69, 2018 | | 2018 |
| Density Based Spatial Clustering Deviations for Black Box Regression Testing in Large Database. R Beena International Journal of Advanced Research in Computer Science 8 (5), 2017 | | 2017 |
| A Comparative Study of Clustering Deviations for Black-Box Regression Test-Selection Techniques. R Beena, S Gomathi International Journal of Advanced Research in Computer Science 7 (7), 2016 | | 2016 |
| A Study of Code Smells in Software Versioning System Using DataMining Techniques BRMD Dithy International Journal of Modern Computer Science 3 (3), 2015 | | 2015 |
| Bi-objective Test Case Selection using Abstract Snytax Tree and Tree Matching R Beena, S Sarala International Journal of Software Engineering and Its Applications 9 (4), 53-66, 2015 | | 2015 |
N.KalaivaniAssistant Professor of Information Technology, Sri Krishna Adithya College of Arts and ScienceVerified email at skacas.ac.in
