| Towards understanding sparse filtering: A theoretical perspective FM Zennaro, K Chen Neural Networks 98, 154-177, 2018 | 26 | 2018 |
| Modeling penetration testing with reinforcement learning using capture-the-flag challenges and tabular Q-learning FM Zennaro, L Erdodi | 24 | 2020 |
| Simulating SQL injection vulnerability exploitation using Q-learning reinforcement learning agents L Erdődi, ÅÅ Sommervoll, FM Zennaro Journal of Information Security and Applications 61, 102903, 2021 | 11 | 2021 |
| Firearm detection and segmentation using an ensemble of semantic neural networks A Egiazarov, V Mavroeidis, FM Zennaro, K Vishi 2019 European Intelligence and Security Informatics Conference (EISIC), 70-77, 2019 | 11 | 2019 |
| Modeling penetration testing with reinforcement learning using capture-the-flag challenges: trade-offs between model-free learning and a priori knowledge FM Zennaro, L Erdodi arXiv preprint arXiv:2005.12632, 2020 | 6 | 2020 |
| The Agent Web Model: modeling web hacking for reinforcement learning L Erdődi, FM Zennaro International Journal of Information Security 21 (2), 293-309, 2022 | 4 | 2022 |
| Stack-based buffer overflow detection using recurrent neural networks WA Dahl, L Erdodi, FM Zennaro arXiv preprint arXiv:2012.15116, 2020 | 4 | 2020 |
| An empirical evaluation of the approximation of subjective logic operators using Monte Carlo simulations FM Zennaro, M Ivanovska, A Jøsang International Journal of Approximate Reasoning 111, 56-77, 2019 | 4 | 2019 |
| Analyzing and storing network intrusion detection data using bayesian coresets: A preliminary study in offline and streaming settings FM Zennaro Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 3 | 2019 |
| Pooling of causal models under counterfactual fairness via causal judgement aggregation FM Zennaro, M Ivanovska arXiv preprint arXiv:1805.09866, 2018 | 3 | 2018 |
| Using subjective logic to estimate uncertainty in multi-armed bandit problems FM Zennaro, A Jøsang arXiv preprint arXiv:2008.07386, 2020 | 2 | 2020 |
| Counterfactually fair prediction using multiple causal models FM Zennaro, M Ivanovska European Conference on Multi-Agent Systems, 249-266, 2018 | 2 | 2018 |
| On covariate shift adaptation via sparse filtering FM Zennaro, K Chen arXiv preprint arXiv:1607.06781, 2016 | 2 | 2016 |
| A new decision making model based on Rank Centrality for GDM with fuzzy preference relations A Yazidi, M Ivanovska, FM Zennaro, PG Lind, EH Viedma European Journal of Operational Research 297 (3), 1030-1041, 2022 | 1 | 2022 |
| SQL Injections and Reinforcement Learning: An Empirical Evaluation of the Role of Action Structure MD Verme, ÅÅ Sommervoll, L Erdődi, S Totaro, FM Zennaro Nordic Conference on Secure IT Systems, 95-113, 2021 | 1 | 2021 |
| Towards Computing an Optimal Abstraction for Structural Causal Models FM Zennaro, P Turrini, T Damoulas arXiv preprint arXiv:2208.00894, 2022 | | 2022 |
| Abstraction between Structural Causal Models: A Review of Definitions and Properties FM Zennaro arXiv preprint arXiv:2207.08603, 2022 | | 2022 |
| Firearm detection via convolutional neural networks: comparing a semantic segmentation model against end-to-end solutions A Egiazarov, FM Zennaro, V Mavroeidis 2020 IEEE International Conference on Big Data (Big Data), 1796-1804, 2020 | | 2020 |
| A Left Realist Critique of the Political Value of Adopting Machine Learning Systems in Criminal Justice FM Zennaro Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | | 2020 |
| Towards Further Understanding of Sparse Filtering via Information Bottleneck FM Zennaro, K Chen arXiv preprint arXiv:1910.08964, 2019 | | 2019 |
László ErdődiResearcher in Computer Science, University of OsloVerified email at oslomet.no
