Fabio Massimo Zennaro

46 papers A* 3A 1C 1Journal 32Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-Level Causal Embeddings. CoRR Willem Schooltink, Fabio Massimo Zennaro
2026	J	`jnl`	Teleological Inference in Structural Causal Models via Intentional Interventions. CoRR Dario Compagno, Fabio Massimo Zennaro
2025	—	`conf`	Aligning Graphical and Functional Causal Abstractions. CLeaR Willem Schooltink, Fabio Massimo Zennaro
2025	A*	`conf`	Causal Abstraction Learning based on the Semantic Embedding Principle. ICML Gabriele D'Acunto, Fabio Massimo Zennaro, Yorgos Felekis, Paolo Di Lorenzo
2025	J	`jnl`	Causal Abstraction Learning based on the Semantic Embedding Principle. CoRR Gabriele D'Acunto, Fabio Massimo Zennaro, Yorgos Felekis, Paolo Di Lorenzo
2025	J	`jnl`	Using causal abstractions to accelerate decision-making in complex bandit problems. CoRR Joel Dyer, Nicholas Bishop, Anisoara Calinescu, Michael J. Wooldridge, Fabio Massimo Zennaro
2024	J	`jnl`	Aligning Graphical and Functional Causal Abstractions. CoRR Willem Schooltink, Fabio Massimo Zennaro
2024	—	`conf`	Causal Optimal Transport of Abstractions. CLeaR Yorgos Felekis, Fabio Massimo Zennaro, Nicola Branchini, Theodoros Damoulas
2024	A	`conf`	Causally Abstracted Multi-armed Bandits. UAI Fabio Massimo Zennaro, Nicholas Bishop, Joel Dyer, Yorgos Felekis, Anisoara Calinescu, Michael J. Wooldridge, Theodoros Damoulas
2024	J	`jnl`	Causally Abstracted Multi-armed Bandits. CoRR Fabio Massimo Zennaro, Nicholas Bishop, Joel Dyer, Yorgos Felekis, Anisoara Calinescu, Michael J. Wooldridge, Theodoros Damoulas
2024	A*	`conf`	Interventionally Consistent Surrogates for Complex Simulation Models. NeurIPS Joel Dyer, Nicholas Bishop, Yorgos Felekis, Fabio Massimo Zennaro, Anisoara Calinescu, Theodoros Damoulas, Michael J. Wooldridge
2024	J	`jnl`	Simulating all archetypes of SQL injection vulnerability exploitation using reinforcement learning agents. Int. J. Inf. Sec. Åvald Åslaugson Sommervoll, László Erdodi, Fabio Massimo Zennaro
2023	J	`jnl`	Causal Optimal Transport of Abstractions. CoRR Yorgos Felekis, Fabio Massimo Zennaro, Nicola Branchini, Theodoros Damoulas
2023	J	`jnl`	Interventionally Consistent Surrogates for Agent-based Simulators. CoRR Joel Dyer, Nicholas Bishop, Yorgos Felekis, Fabio Massimo Zennaro, Anisoara Calinescu, Theodoros Damoulas, Michael J. Wooldridge
2023	—	`conf`	Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions. CLeaR Fabio Massimo Zennaro, Máté Drávucz, Geanina Apachitei, Widanalage Dhammika Widanage, Theodoros Damoulas
2023	J	`jnl`	Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions. CoRR Fabio Massimo Zennaro, Máté Drávucz, Geanina Apachitei, Widanalage Dhammika Widanage, Theodoros Damoulas
2023	J	`jnl`	Modelling penetration testing with reinforcement learning using capture-the-flag challenges: Trade-offs between model-free learning and a priori knowledge. IET Inf. Secur. Fabio Massimo Zennaro, László Erdodi
2023	A*	`conf`	Quantifying Consistency and Information Loss for Causal Abstraction Learning. IJCAI Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas
2023	J	`jnl`	Quantifying Consistency and Information Loss for Causal Abstraction Learning. CoRR Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas
2022	J	`jnl`	A new decision making model based on Rank Centrality for GDM with fuzzy preference relations. Eur. J. Oper. Res. Anis Yazidi, Magdalena Ivanovska, Fabio Massimo Zennaro, Pedro G. Lind, Enrique Herrera-Viedma
2022	J	`jnl`	Abstraction between Structural Causal Models: A Review of Definitions and Properties. CoRR Fabio Massimo Zennaro
2022	J	`jnl`	The Agent Web Model: modeling web hacking for reinforcement learning. Int. J. Inf. Sec. László Erdodi, Fabio Massimo Zennaro
2022	J	`jnl`	Towards Computing an Optimal Abstraction for Structural Causal Models. CoRR Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas
2021	—	`conf`	SQL Injections and Reinforcement Learning: An Empirical Evaluation of the Role of Action Structure. NordSec Manuel Del Verme, Åvald Åslaugson Sommervoll, László Erdödi, Simone Totaro, Fabio Massimo Zennaro
2021	J	`jnl`	Simulating SQL Injection Vulnerability Exploitation Using Q-Learning Reinforcement Learning Agents. CoRR Laszlo Erdodi, Åvald Åslaugson Sommervoll, Fabio Massimo Zennaro
2021	J	`jnl`	Simulating SQL injection vulnerability exploitation using Q-learning reinforcement learning agents. J. Inf. Secur. Appl. László Erdödi, Åvald Åslaugson Sommervoll, Fabio Massimo Zennaro
2020	—	`conf`	A Left Realist Critique of the Political Value of Adopting Machine Learning Systems in Criminal Justice. PKDD/ECML Workshops Fabio Massimo Zennaro
2020	J	`jnl`	Firearm Detection and Segmentation Using an Ensemble of Semantic Neural Networks. CoRR Alexander Egiazarov, Vasileios Mavroeidis, Fabio Massimo Zennaro, Kamer Vishi
2020	—	`conf`	Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End Solutions. IEEE BigData Alexander Egiazarov, Fabio Massimo Zennaro, Vasileios Mavroeidis
2020	J	`jnl`	Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End Solutions. CoRR Alexander Egiazarov, Fabio Massimo Zennaro, Vasileios Mavroeidis
2020	J	`jnl`	Modeling Penetration Testing with Reinforcement Learning Using Capture-the-Flag Challenges and Tabular Q-Learning. CoRR Fabio Massimo Zennaro, Laszlo Erdodi
2020	J	`jnl`	Stack-based Buffer Overflow Detection using Recurrent Neural Networks. CoRR William Arild Dahl, Laszlo Erdodi, Fabio Massimo Zennaro
2020	J	`jnl`	The Agent Web Model - Modelling web hacking for reinforcement learning. CoRR Laszlo Erdodi, Fabio Massimo Zennaro
2020	J	`jnl`	Using Subjective Logic to Estimate Uncertainty in Multi-Armed Bandit Problems. CoRR Fabio Massimo Zennaro, Audun Jøsang
2019	J	`jnl`	An empirical evaluation of the approximation of subjective logic operators using Monte Carlo simulations. Int. J. Approx. Reason. Fabio Massimo Zennaro, Magdalena Ivanovska, Audun Jøsang
2019	—	`conf`	Analyzing and Storing Network Intrusion Detection Data Using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings. PKDD/ECML Workshops (2) Fabio Massimo Zennaro
2019	J	`jnl`	Analyzing and Storing Network Intrusion Detection Data using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings. CoRR Fabio Massimo Zennaro
2019	—	`conf`	Firearm Detection and Segmentation Using an Ensemble of Semantic Neural Networks. EISIC Alexander Egiazarov, Vasileios Mavroeidis, Fabio Massimo Zennaro, Kamer Vishi
2019	J	`jnl`	Towards Further Understanding of Sparse Filtering via Information Bottleneck. CoRR Fabio Massimo Zennaro, Ke Chen
2018	C	`conf`	Counterfactually Fair Prediction Using Multiple Causal Models. EUMAS Fabio Massimo Zennaro, Magdalena Ivanovska
2018	J	`jnl`	Counterfactually Fair Prediction Using Multiple Causal Models. CoRR Fabio Massimo Zennaro, Magdalena Ivanovska
2018	J	`jnl`	Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation. CoRR Fabio Massimo Zennaro, Magdalena Ivanovska
2018	J	`jnl`	Towards understanding sparse filtering: A theoretical perspective. Neural Networks Fabio Massimo Zennaro, Ke Chen
2017	—	`—`	Feature distribution learning for covariate shift adaptation using sparse filtering. Fabio Massimo Zennaro
2016	J	`jnl`	On Covariate Shift Adaptation via Sparse Filtering. CoRR Fabio Massimo Zennaro, Ke Chen
2016	J	`jnl`	Towards Understanding Sparse Filtering: A Theoretical Perspective. CoRR Fabio Massimo Zennaro, Ke Chen