| Real-time AI-driven fall detection method for occupational health and safety A Danilenka, P Sowiński, K Rachwał, K Bogacka, A Dąbrowska, M Kobus, ... Electronics 12 (20), 4257, 2023 | 7 | 2023 |
| Frugal Heart Rate Correction Method for Scalable Health and Safety Monitoring in Construction Sites P Sowiński, K Rachwał, A Danilenka, K Bogacka, M Kobus, A Dąbrowska, ... Sensors 23 (14), 6464, 2023 | 4 | 2023 |
| Using adversarial images to improve outcomes of federated learning for non-iid data A Danilenka, M Ganzha, M Paprzycki, J Mańdziuk arXiv preprint arXiv:2206.08124, 2022 | 2 | 2022 |
| Towards adaptive asynchronous federated learning for human activity recognition R Gajanin, A Danilenka, A Morichetta, S Nastic arXiv preprint arXiv:2411.14070, 2024 | 1 | 2024 |
| Flexible Deployment of Machine Learning Inference Pipelines in the Cloud–Edge–IoT Continuum K Bogacka, P Sowiński, A Danilenka, FM Biot, ... Electronics 13 (10), 1888, 2024 | 1 | 2024 |
| Decentralized Strategy for Artificial Intelligence in Distributed IoT Ecosystems: Federation in ASSIST-IoT E Garro, I Lacalle, K Bogacka, A Danilenka, K Wasielewska-Michniewska, ... Shaping the Future of IoT with Edge Intelligence: How Edge Computing Enables …, 2024 | 1 | 2024 |
| Diagnosing Machine Learning Problems in Federated Learning Systems: A Case Study K Bogacka, A Danilenka, K Wasielewska-Michniewska 2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS …, 2023 | 1 | 2023 |
| Mitigating the effects of non-IID data in federated learning with a self-adversarial balancing method A Danilenka Annals of Computer Science and Information Systems 35, 925–930, 2023 | 1 | 2023 |
| Introducing Federated Learning into Internet of Things Ecosystems–Maintaining Cooperation Between Competing Parties K Bogacka, A Danilenka, K Wasielewska-Michniewska, M Paprzycki, ... International Conference on Big Data Analytics, 53-69, 2022 | 1 | 2022 |
| Introducing Federated Learning into Internet of Things ecosystems–preliminary considerations K Bogacka, K Wasielewska-Michniewska, M Paprzycki, M Ganzha, ... 2022 IEEE 8th World Forum on Internet of Things (WF-IoT), 1-7, 2022 | 1 | 2022 |
| Sunday-FL–Developing Open Source Platform for Federated Learning P Niedziela, A Danilenka, D Kolasa, M Ganzha, M Paprzycki, K Nalinaksh 2021 Emerging Trends in Industry 4.0 (ETI 4.0), 1-6, 2021 | 1 | 2021 |
| Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning A Danilenka, A Furutanpey, VC Pujol, B Sedlak, A Lackinger, M Ganzha, ... arXiv preprint arXiv:2410.09099, 2024 | | 2024 |
| Gradient Scale Monitoring for Federated Learning Systems K Bogacka, A Danilenka, K Wasielewska-Michniewska Journal of Automation, Mobile Robotics and Intelligent Systems, 14-27, 2024 | | 2024 |
| Tackling Non-IID Data and Data Poisoning in Federated Learning using Adversarial Synthetic Data A Danilenka Journal of Automation, Mobile Robotics and Intelligent Systems, 1-13, 2024 | | 2024 |
| One-shot federated learning with self-adversarial data A Danilenka, K Bogacka, K Wasielewska-Michniewska 2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS …, 2023 | | 2023 |
| Explorations in federated learning for non-balanced datasets A Danilenka Wydział Matematyki i Nauk Informacyjnych, 2022 | | 2022 |
| ASSIST-IoT Technical Report# 2 P Niedziela, A Danilenka, D Kolasa, M Ganzha, M Paprzycki, K Nalinaksh | | |
| ASSIST-IoT Technical Report# 13 K Bogacka, K Wasielewska-Michniewska, M Paprzycki, M Ganzha, ... | | |
