| AALpy: an active automata learning library E Muškardin, BK Aichernig, I Pill, A Pferscher, M Tappler Innovations in Systems and Software Engineering 18 (3), 417-426, 2022 | 108 | 2022 |
| Learning-based fuzzing of IoT message brokers BK Aichernig, E Muškardin, A Pferscher 2021 14th IEEE Conference on Software Testing, Verification and Validation …, 2021 | 46 | 2021 |
| Learning finite state models from recurrent neural networks E Muškardin, BK Aichernig, I Pill, M Tappler International Conference on Integrated Formal Methods, 229-248, 2022 | 20 | 2022 |
| Implementation of hashing algorithms in stream mining E Muskardin, MB Bakaric, M Matetic 2018 International Conference on Smart Systems and Technologies (SST), 233-238, 2018 | 18 | 2018 |
| Active vs. Passive: A Comparison of Automata Learning Paradigms for Network Protocols E Muskardin, A Pferscher, BK Aichernig Formal Methods for Autonomous Systems, 2022 | 17* | 2022 |
| Active model learning of stochastic reactive systems M Tappler, E Muškardin, BK Aichernig, I Pill International Conference on Software Engineering and Formal Methods, 481-500, 2021 | 17 | 2021 |
| Reinforcement learning under partial observability guided by learned environment models E Muškardin, M Tappler, BK Aichernig, I Pill International Conference on Integrated Formal Methods, 257-276, 2023 | 16 | 2023 |
| Catio-a framework for model-based diagnosis of cyber-physical systems E Muškardin, I Pill, F Wotawa International Symposium on Methodologies for Intelligent Systems, 267-276, 2020 | 14 | 2020 |
| Automata learning meets shielding M Tappler, S Pranger, B Könighofer, E Muškardin, R Bloem, K Larsen International Symposium on Leveraging Applications of Formal Methods, 335-359, 2022 | 12 | 2022 |
| Learning finite state models from recurrent neural networks E Muskardin, I Pill IFM 2022: Integrated Formal Methods: International Conference on Integrated …, 2022 | 7 | 2022 |
| Mining Digital Twins of a VPN Server. A Pferscher, B Wunderling, BK Aichernig, E Muskardin FMDT@ FM, 2023 | 6 | 2023 |
| Active Model Learning of Git Version Control System E Muškardin, T Burgstaller, M Tappler, BK Aichernig 2024 IEEE International Conference on Software Testing, Verification and …, 2024 | 5 | 2024 |
| Testing-based black-box extraction of simple models from rnns and transformers E Muškardin, M Tappler, BK Aichernig International Conference on Grammatical Inference, 291-294, 2023 | 4 | 2023 |
| On the Relationship Between RNN Hidden-State Vectors and Semantic Structures E Muskardin, M Tappler, I Pill, B Aichernig, T Pock Findings of the Association for Computational Linguistics: ACL 2024, 5641-5658, 2024 | 3 | 2024 |
| Learning environment models with continuous stochastic dynamics-with an application to deep rl testing M Tappler, E Muškardin, BK Aichernig, B Könighofer 2024 IEEE Conference on Software Testing, Verification and Validation (ICST …, 2024 | 3 | 2024 |
| Active model learning of stochastic reactive systems (extended version) E Muškardin, M Tappler, BK Aichernig, I Pill Software and Systems Modeling 23 (2), 503-524, 2024 | 3 | 2024 |
| Learning Environment Models with Continuous Stochastic Dynamics M Tappler, E Muškardin, BK Aichernig, B Könighofer arXiv preprint arXiv:2306.17204, 2023 | 3 | 2023 |
| Automata learning enabling model-based diagnosis E Muškardin, I Pill, M Tappler, BK Aichernig 32nd International Workshop on Principle of Diagnosis, Hamburg-Germany …, 2021 | 2 | 2021 |
| Passive Model Learning of Visibly Deterministic Context-free Grammars E Muškardin, T Burgstaller arXiv preprint arXiv:2508.16305, 2025 | | 2025 |
| Modelling and Analysis of Machine Learning Systems with Automata Learning E Muskardin | | 2024 |
Bernhard AichernigFull Professor of Formal Methods, Johannes Kepler University LinzVerified email at jku.at
