| ITL-IDS: Incremental transfer learning for intrusion detection systems E Mahdavi, A Fanian, A Mirzaei, Z Taghiyarrenani Knowledge-based systems 253, 109542, 2022 | 41 | 2022 |
| Transfer learning based intrusion detection Z Taghiyarrenani, A Fanian, E Mahdavi, A Mirzaei, H Farsi 2018 8th International Conference on Computer and Knowledge Engineering …, 2018 | 36 | 2018 |
| Multi-domain adaptation for regression under conditional distribution shift Z Taghiyarrenani, S Nowaczyk, S Pashami, MR Bouguelia Expert systems with applications 224, 119907, 2023 | 18 | 2023 |
| A novel online state-based anomaly detection system for process control networks H Farsi, A Fanian, Z Taghiyarrenani International Journal of Critical Infrastructure Protection 27, 100323, 2019 | 13 | 2019 |
| Data-centric perspective on explainability versus performance trade-off A Berenji, S Nowaczyk, Z Taghiyarrenani International Symposium on Intelligent Data Analysis, 42-54, 2023 | 7 | 2023 |
| An analysis of vibrations and currents for broken rotor bar detection in three-phase induction motors A Berenji, Z Taghiyarrenani Phm society european conference 7 (1), 43-48, 2022 | 7 | 2022 |
| Noise-robust representation for fault identification with limited data via data augmentation Z Taghiyarrenani, A Berenji PHM Society European Conference 7 (1), 473-479, 2022 | 6 | 2022 |
| Analysis of Statistical Data Heterogeneity in Federated Fault Identification Z Taghiyarrenani, S Nowaczyk, S Pashami PHM Society Asia-Pacific Conference 4 (1), 2023 | 5 | 2023 |
| Domain adaptation with maximum margin criterion with application to network traffic classification Z Taghiyarrenani, H Farsi Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 5 | 2022 |
| Fault identification with limited labeled data A Berenji, Z Taghiyarrenani, A Rohani Bastami Journal of Vibration and Control 30 (7-8), 1502-1510, 2024 | 4 | 2024 |
| Why Industry 5.0 Needs XAI 2.0? S Bobek, S Nowaczyk, J Gama, S Pashami, RP Ribeiro, Z Taghiyarrenani, ... xAI (Late-breaking Work, Demos, Doctoral Consortium), 1-6, 2023 | 4 | 2023 |
| Towards explainable deep domain adaptation S Bobek, S Nowaczyk, S Pashami, Z Taghiyarrenani, GJ Nalepa European Conference on Artificial Intelligence, 101-113, 2023 | 2 | 2023 |
| Towards geometry-preserving domain adaptation for fault identification Z Taghiyarrenani, S Nowaczyk, S Pashami, MR Bouguelia Joint European conference on machine learning and knowledge discovery in …, 2022 | 2 | 2022 |
| Heterogeneous Federated Learning via Personalized Generative Networks Z Taghiyarrenani, A Alabdallah, S Nowaczyk, S Pashami arXiv preprint arXiv:2308.13265, 2023 | 1 | 2023 |
| curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection A Berenji, Z Taghiyarrenani, S Nowaczyk Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 1 | 2022 |
| Learning from Multiple Domains Z Taghiyarrenani Halmstad University Press, 2022 | 1 | 2022 |
| Piafc: Physics-Inspired Anomaly-Based Fault Classification A Berenji, S Nowaczyk, Z Taghiyarrenani Available at SSRN 4999174, 2024 | | 2024 |
| Explainable Federated Learning by Incremental Decision Trees P Jamshidi, S Nowaczyk, M Rahat, Z Taghiyarrenani 2024 Workshop on Explainable AI for Time Series and Data Streams, TempXAI …, 2024 | | 2024 |
| From Domain Adaptation to Federated Learning Z Taghiyarrenani Halmstad University Press, 2024 | | 2024 |
| Facilitating Semi-Supervised Domain Adaptation through Few-shot and Self-supervised Learning Z Taghiyarrenani, S Nowaczyk, S Pashami, MR Bouguelia | | 2024 |
Slawomir NowaczykProfessor, Center for Applied Intelligent Systems Research, Halmstad UniversityZweryfikowany adres z hh.se
