| Finicky transfer learning—A method of pruning convolutional neural networks for cracks classification on edge devices M Żarski, B Wojcik, K Książek, JA Miszczak Computer‐Aided Civil and Infrastructure Engineering 37 (4), 500-515, 2022 | 48 | 2022 |
| Analytical modelling in Dynamo M Salamak, M Jasinski, T Plaszczyk, M Zarski Vysoká škola báňská-Technická univerzita Ostrava, 2018 | 32 | 2018 |
| Computer Vision based inspection on post-earthquake with UAV synthetic dataset M Żarski, B Wójcik, JA Miszczak, B Blachowski, M Ostrowski IEEE Access 10, 108134-108144, 2022 | 16 | 2022 |
| The measurements of surface defect area with an RGB-D camera for a BIM-backed bridge inspection B Wójcik, M Żarski Bulletin of the Polish Academy of Sciences. Technical Sciences 69 (3), 2021 | 16 | 2021 |
| KrakN: Transfer learning framework and dataset for infrastructure thin crack detection M Żarski, B Wójcik, JA Miszczak SoftwareX 16, 100893, 2021 | 14 | 2021 |
| Hard hat wearing detection based on head keypoint localization B Wójcik, M Żarski, K Książek, JA Miszczak, MJ Skibniewski arXiv preprint arXiv:2106.10944, 2021 | 14 | 2021 |
| Asesment of state-of-the-art methods for bridge inspection: case study B Wójcik, M Żarski Archives of Civil Engineering 66 (4), 2020 | 14 | 2020 |
| The effectiveness of world models for continual reinforcement learning S Kessler, M Ostaszewski, MP Bortkiewicz, M Żarski, M Wolczyk, ... Conference on Lifelong Learning Agents, 184-204, 2023 | 12 | 2023 |
| KrakN: Transfer Learning framework for thin crack detection in infrastructure maintenance M Żarski, B Wójcik, JA Miszczak arXiv preprint arXiv:2004.12337, 2020 | 11* | 2020 |
| Integrated lifecycle analysis of a concrete bridge M Żarski, T Płaszczyk, M Salamak Proceedings of the 12th Central European Congress on Concrete Engineering …, 2017 | 6 | 2017 |
| A framework for computer vision-based health monitoring of a truss structure subjected to unknown excitations M Ostrowski, B Blachowski, B Wójcik, M Żarski, P Tauzowski, Ł Jankowski Earthquake Engineering and Engineering Vibration 22 (1), 1-17, 2023 | 4 | 2023 |
| Innovative materials and technologies for concrete stuctures GL Balázs, K Koris, K Kopecsko, M Salamak, A Zybura, T Krykowski, ... Betontag, Wien, 24-25, 2008 | 4 | 2008 |
| dpVision: Environment for multimodal images D Pojda, M Żarski, AA Tomaka, L Luchowski SoftwareX 30, 102093, 2025 | 3 | 2025 |
| Multi-step feature fusion for natural disaster damage assessment on satellite images M Żarski, JA Miszczak IEEE Access, 2024 | 3 | 2024 |
| „Wybrane aspekty tworzenia modeli BIM obiektów mostowych” J Marcin, T Płaszczyk, B Wójcik, M Żarski, K Korus, M Salamak Mosty (6) 38, 44, 2018 | 3* | 2018 |
| Semantic depth matters: Explaining errors of deep vision networks through perceived class similarities K Filus, M Romaszewski, M Żarski arXiv preprint arXiv:2504.09956, 2025 | 2 | 2025 |
| An Efficient Computer Vision-Based Method for Estimation of Dynamic Displacements in Spatial Truss Structures B Blachowski, M Ostrowski, M Zarski, B Wojcik, P Tauzowski, L Jankowski European Workshop on Structural Health Monitoring, 474-484, 2022 | 2 | 2022 |
| Balancing Performance and Scalability of Demand Forecasting ML Models M Żarski, S Nowaczyk International Symposium on Intelligent Data Analysis, 127-140, 2025 | 1 | 2025 |
| A deep learning method for hard-hat-wearing detection based on head center localization B Wójcik, M Żarski, K Książek, JA Miszczak, MJ Skibniewski Bulletin of the Polish Academy of Sciences. Technical Sciences 71 (6), 2023 | 1 | 2023 |
| European Workshop on Structural Health Monitoring: EWSHM 2022-Volume 2 P Rizzo, A Milazzo Springer Nature, 2022 | 1 | 2022 |
Bartosz WójcikPhD candidate, Silesian University of TechnologyVerified email at polsl.pl
