| A survey on generative adversarial networks for imbalance problems in computer vision tasks V Sampath, I Maurtua, JJ Aguilar Martin, A Gutierrez Journal of big Data 8, 1-59, 2021 | 249 | 2021 |
| Machine learning in manufacturing towards industry 4.0: From ‘for now’to ‘four-know’ T Chen, V Sampath, MC May, S Shan, OJ Jorg, JJ Aguilar Martín, ... Applied Sciences 13 (3), 1903, 2023 | 53 | 2023 |
| Attention-guided multitask learning for surface defect identification V Sampath, I Maurtua, JJA Martín, A Rivera, J Molina, A Gutierrez IEEE Transactions on Industrial Informatics 19 (9), 9713-9721, 2023 | 40 | 2023 |
| Energy absorption of foam filled aluminum tubes under dynamic bending V Sampath, CL Rao, S Reddy Procedia Manufacturing 7, 225-233, 2017 | 17 | 2017 |
| Intraclass image augmentation for defect detection using generative adversarial neural networks V Sampath, I Maurtua, JJ Aguilar Martín, A Iriondo, I Lluvia, G Aizpurua Sensors 23 (4), 1861, 2023 | 12 | 2023 |
| Vision Transformer based knowledge distillation for fasteners defect detection V Sampath, I Maurtua, JJA Martín, A Iriondo, I Lluvia, A Rivera 2022 International Conference on Electrical, Computer and Energy …, 2022 | 5 | 2022 |
| Energy Absorption Characteristics of AA7075-T6 Tube Filled with Aluminum Foam S Vignesh, C Lakshmana Rao, S Bade Advances in Structural Integrity: Proceedings of SICE 2016, 303-313, 2018 | 2 | 2018 |
| Compression behaviour and crashworthiness analysis of aluminum foam filled corrugated and tapered tubes with graded thickness S Reddy, V Sampath, CL Rao arXiv preprint arXiv:2006.04446, 2020 | | 2020 |
