| Application of federated machine learning in manufacturing V Hegiste, T Legler, M Ruskowski 2022 International Conference on Industry 4.0 Technology (I4Tech), 1-8, 2022 | 7 | 2022 |
| Application of federated learning in manufacturing V Hegiste, T Legler, M Ruskowski arXiv preprint arXiv:2208.04664, 2022 | 3 | 2022 |
| Federated object detection for quality inspection in shared production V Hegiste, T Legler, K Fridman, M Ruskowski 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC …, 2023 | 1 | 2023 |
| Federated Ensemble YOLOv5–A Better Generalized Object Detection Algorithm V Hegiste, T Legler, M Ruskowski 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC …, 2023 | 1 | 2023 |
| Mapping of newcomer clients in federated learning based on activation strength T Legler, V Hegiste, M Ruskowski International Conference on Flexible Automation and Intelligent …, 2023 | 1 | 2023 |
| Multi-input Multi-output Self-learning-Based Control System A Phatak, D Panicker, P Verma, M Bhadra, V Hegiste International Conference on Advanced Computing Networking and Informatics …, 2019 | 1 | 2019 |
| Enhancing Object Detection Performance for Small Objects through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios J Antony, V Hegiste, A Nazeri, H Tavakoli, S Walunj, C Plociennik, ... arXiv preprint arXiv:2401.12729, 2024 | | 2024 |
