Konferanseforedrag

• Alexander Egiazarov; Vasileios Mavroeidis; Kamer Vishi et al. (2019). Firearm Detection and Segmentation using an Ensemble of Semantic Neural Networks. (ekstern lenke)
• Alexander Egiazarov; Fabio Massimo Zennaro; Vasileios Mavroeidis (2020). Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End Solutions. (ekstern lenke)
• Fabio Massimo Zennaro; Magdalena Ivanovska (2018). Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation. (ekstern lenke)
• Fabio Massimo Zennaro (2019). Analyzing and Storing Network Intrusion Detection Data using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings. (ekstern lenke)
• Fabio Massimo Zennaro (2020). A Left Realist Critique of the Political Value of Adopting Machine Learning Systems in Criminal Justice. (ekstern lenke)

Vitenskapelig artikkel

• Laszlo Erdodi; Fabio Massimo Zennaro (2021). The Agent Web Model - Modelling web hacking for reinforcement learning. (ekstern lenke)
• Fabio Massimo Zennaro; Magdalena Ivanovska; Audun Jøsang (2019). An empirical evaluation of the approximation of subjective logic operators using Monte Carlo simulations. (ekstern lenke)
• Fabio Massimo Zennaro; Magdalena Ivanovska (2018). Counterfactually Fair Prediction Using Multiple Causal Models. (ekstern lenke)
• Anis Yazidi; Magdalena Ivanovska; Fabio Massimo Zennaro et al. (2021). A new decision making model based on Rank Centrality for GDM with fuzzy preference relations. (ekstern lenke)
• Åvald Åslaugson Sommervoll; Laszlo Tibor Erdodi; Fabio Massimo Zennaro (2023). Simulating all archetypes of SQL injection vulnerability exploitation using reinforcement learning agents. (ekstern lenke)
• Joel Dyer; Nicholas George Bishop; Yorgos Felekis et al. (2024). Interventionally Consistent Surrogates for Complex Simulation Models. (ekstern lenke)
• Laszlo Erdodi; Åvald Åslaugson Sommervoll; Fabio Massimo Zennaro (2021). Simulating SQL injection vulnerability exploitation using Q-learning reinforcement learning agents. (ekstern lenke)
• D'Acunto, Gabriele; Fabio Massimo Zennaro; Felekis, Yorgos et al. (2025). Causal Abstraction Learning based on the Semantic Embedding Principle. (ekstern lenke)
• Fabio Massimo Zennaro; Ke Chen (2018). Towards understanding sparse filtering: A theoretical perspective. (ekstern lenke)
• Fabio Massimo Zennaro; Nicholas George Bishop; Joel Dyer et al. (2024). Causally Abstracted Multi-armed Bandits. (ekstern lenke)
• Willem Theodorus Schooltink; Fabio Massimo Zennaro (2025). Aligning Graphical and Functional Causal Abstractions. (ekstern lenke)
• Fabio Massimo Zennaro; Magdalena Ivanovska (2019). Counterfactually Fair Prediction Using Multiple Causal Models. (ekstern lenke)
• Fabio Massimo Zennaro; Laszlo Tibor Erdodi (2023). Modelling penetration testing with reinforcement learning using capture-the-flag challenges: Trade-offs between model-free learning and a priori knowledge. (ekstern lenke)
• Jarl Giske; Magda L. Dumitru; Katja Enberg et al. (2025). Premises for digital twins reporting on Atlantic salmon wellbeing. (ekstern lenke)
• Yorgos Felekis; Fabio Massimo Zennaro; Nicola Branchini et al. (2024). Causal Optimal Transport of Abstractions. (ekstern lenke)

Vitenskapelig bokkapittel

• Ryan Anthony Marinelli; Laszlo Tibor Erdodi; Åvald Åslaugson Sommervoll et al. (2024). Extending Q-Learning Agents in SQLi Environments. (ekstern lenke)
• Fabio Massimo Zennaro; Audun Jøsang (2020). Using Subjective Logic to Estimate Uncertainty in Multi-Armed Bandit Problems. (ekstern lenke)
• Fabio Massimo Zennaro (2020). Analyzing and Storing Network Intrusion Detection Data Using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings. (ekstern lenke)

Konferanseposter

• Ryan Anthony Marinelli; Laszlo Tibor Erdodi; Åvald Åslaugson Sommervoll et al. (2024). Function Approximation Techniques to Empower Complex Agents for SQLi. (ekstern lenke)

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