| Handling class-imbalance with KNN (neighbourhood) under-sampling for software defect prediction S Goyal Artificial Intelligence Review 55 (3), 2023-2064, 2022 | 92 | 2022 |
| Effective software defect prediction using support vector machines (SVMs) S Goyal International Journal of System Assurance Engineering and Management 13 (2 …, 2022 | 48 | 2022 |
| Heterogeneous stacked ensemble classifier for software defect prediction S Goyal 2020 sixth international conference on parallel, distributed and grid …, 2020 | 45 | 2020 |
| Comparison of Machine Learning Techniques for Software Quality Prediction S Goyal, P Bhatia International Journal of Knowledge and Systems Science (IJKSS) 11 (2), 20-40, 2020 | 45 | 2020 |
| Machine learning application to improve COCOMO model using neural networks S Goyal, A Parashar International Journal of Information Technology and Computer Science (IJITCS …, 2018 | 34 | 2018 |
| A non-linear technique for effective software effort estimation using multi-layer perceptrons S Goyal, PK Bhatia 2019 International Conference on Machine Learning, Big Data, Cloud and …, 2019 | 30 | 2019 |
| Feature selection technique for effective software effort estimation using multi-layer perceptrons S Goyal, PK Bhatia Proceedings of ICETIT 2019: Emerging Trends in Information Technology, 183-194, 2020 | 29 | 2020 |
| Predicting the defects using stacked ensemble learner with filtered dataset S Goyal Automated Software Engineering 28 (2), 14, 2021 | 23 | 2021 |
| Software fault prediction using lion optimization algorithm S Goyal, PK Bhatia International Journal of Information Technology 13, 2185-2190, 2021 | 21 | 2021 |
| Push recovery for humanoid robot in dynamic environment and classifying the data using K-mean A Parashar, A Parashar, S Goyal, B Sahjalan Proceedings of the Second International Conference on Information and …, 2016 | 18 | 2016 |
| FOFS: firefly optimization for feature selection to predict fault-prone software modules S Goyal Data Engineering for Smart Systems: Proceedings of SSIC 2021, 479-487, 2022 | 17 | 2022 |
| GA based dimensionality reduction for effective software effort estimation using ANN S Goyal, PK Bhatia Adv Appl Math Sci 18 (8), 637-649, 2019 | 16 | 2019 |
| 3PcGE: 3-parent child-based genetic evolution for software defect prediction S Goyal Innovations in Systems and Software Engineering 19 (2), 197-216, 2023 | 13 | 2023 |
| Empirical software measurements with machine learning S Goyal, PK Bhatia Computational intelligence techniques and their applications to software …, 2020 | 13 | 2020 |
| Genetic evolution-based feature selection for software defect prediction using SVMs S Goyal Journal of Circuits, Systems and Computers 31 (11), 2250161, 2022 | 12 | 2022 |
| Effective software effort estimation using heterogenous stacked ensemble S Goyal 2022 IEEE International Conference on Signal Processing, Informatics …, 2022 | 10 | 2022 |
| Predicting the heart disease using machine learning techniques S Goyal ICT Analysis and Applications: Proceedings of ICT4SD 2022, 191-199, 2022 | 9 | 2022 |
| Intelligent traffic management system using industry 4.0 A Panwar, S Bafna, A Raghav, S Goyal Advances in Micro-Electronics, Embedded Systems and IoT: Proceedings of …, 2022 | 9 | 2022 |
| Software Quality Prediction Using Machine Learning Techniques S Goyal, PK Bhatia Innovations in Computational Intelligence and Computer Vision 1189, 551-560, 2020 | 9 | 2020 |
| Software fault prediction using evolving populations with mathematical diversification S Goyal Soft Computing 26 (24), 13999-14020, 2022 | 8 | 2022 |
