Fabio Massimo Zennaro
Fabio Massimo Zennaro
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Towards understanding sparse filtering: A theoretical perspective
FM Zennaro, K Chen
Neural Networks 98, 154-177, 2018
Modeling penetration testing with reinforcement learning using capture-the-flag challenges and tabular Q-learning
FM Zennaro, L Erdodi
Simulating SQL injection vulnerability exploitation using Q-learning reinforcement learning agents
L Erdődi, Sommervoll, FM Zennaro
Journal of Information Security and Applications 61, 102903, 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
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
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
Stack-based buffer overflow detection using recurrent neural networks
WA Dahl, L Erdodi, FM Zennaro
arXiv preprint arXiv:2012.15116, 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
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
An empirical evaluation of the approximation of subjective logic operators using Monte Carlo simulations
FM Zennaro, M Ivanovska, A Jsang
International Journal of Approximate Reasoning 111, 56-77, 2019
Pooling of causal models under counterfactual fairness via causal judgement aggregation
FM Zennaro, M Ivanovska
arXiv preprint arXiv:1805.09866, 2018
Using subjective logic to estimate uncertainty in multi-armed bandit problems
FM Zennaro, A Jsang
arXiv preprint arXiv:2008.07386, 2020
Counterfactually fair prediction using multiple causal models
FM Zennaro, M Ivanovska
European Conference on Multi-Agent Systems, 249-266, 2018
On covariate shift adaptation via sparse filtering
FM Zennaro, K Chen
arXiv preprint arXiv:1607.06781, 2016
Abstraction between Structural Causal Models: A Review of Definitions and Properties
FM Zennaro
arXiv preprint arXiv:2207.08603, 2022
SQL Injections and Reinforcement Learning: An Empirical Evaluation of the Role of Action Structure
MD Verme, Sommervoll, L Erdődi, S Totaro, FM Zennaro
Nordic Conference on Secure IT Systems, 95-113, 2021
Towards Computing an Optimal Abstraction for Structural Causal Models
FM Zennaro, P Turrini, T Damoulas
arXiv preprint arXiv:2208.00894, 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
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
Towards Further Understanding of Sparse Filtering via Information Bottleneck
FM Zennaro, K Chen
arXiv preprint arXiv:1910.08964, 2019
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