On Covariate Shift Adaptation via Sparse Filtering. - Fabio Massimo Zennaro; Ke Chen 001 (CoRR, 2016)

Feature distribution learning for covariate shift adaptation using sparse filtering. - Fabio Massimo Zennaro (2017)

Counterfactually Fair Prediction Using Multiple Causal Models. - Fabio Massimo Zennaro; Magdalena Ivanovska (EUMAS, 2018)

Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation. - Fabio Massimo Zennaro; Magdalena Ivanovska (CoRR, 2018)

Towards understanding sparse filtering: A theoretical perspective. - Fabio Massimo Zennaro; Ke Chen 001 (Neural Networks, 2018)

Firearm Detection and Segmentation Using an Ensemble of Semantic Neural Networks. - Alexander Egiazarov; Vasileios Mavroeidis; Fabio Massimo Zennaro; Kamer Vishi (EISIC, 2019)

Analyzing and Storing Network Intrusion Detection Data Using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings. - Fabio Massimo Zennaro (PKDD/ECML Workshops (2), 2019)

Towards Further Understanding of Sparse Filtering via Information Bottleneck. - Fabio Massimo Zennaro; Ke Chen 001 (CoRR, 2019)

An empirical evaluation of the approximation of subjective logic operators using Monte Carlo simulations. - Fabio Massimo Zennaro; Magdalena Ivanovska; Audun Jøsang (Int. J. Approx. Reason., 2019)

Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End Solutions. - Alexander Egiazarov; Fabio Massimo Zennaro; Vasileios Mavroeidis (IEEE BigData, 2020)

A Left Realist Critique of the Political Value of Adopting Machine Learning Systems in Criminal Justice. - Fabio Massimo Zennaro (PKDD/ECML Workshops, 2020)

Modeling Penetration Testing with Reinforcement Learning Using Capture-the-Flag Challenges and Tabular Q-Learning. - Fabio Massimo Zennaro; Laszlo Erdodi (CoRR, 2020)

Using Subjective Logic to Estimate Uncertainty in Multi-Armed Bandit Problems. - Fabio Massimo Zennaro; Audun Jøsang (CoRR, 2020)

The Agent Web Model - Modelling web hacking for reinforcement learning. - Laszlo Erdodi; Fabio Massimo Zennaro (CoRR, 2020)

Stack-based Buffer Overflow Detection using Recurrent Neural Networks. - William Arild Dahl; Laszlo Erdodi; Fabio Massimo Zennaro (CoRR, 2020)

SQL Injections and Reinforcement Learning: An Empirical Evaluation of the Role of Action Structure. - Manuel Del Verme; Åvald Åslaugson Sommervoll; László Erdödi; Simone Totaro; Fabio Massimo Zennaro (NordSec, 2021)

Simulating SQL injection vulnerability exploitation using Q-learning reinforcement learning agents. - László Erdödi; Åvald Åslaugson Sommervoll; Fabio Massimo Zennaro (J. Inf. Secur. Appl., 2021)

Abstraction between Structural Causal Models: A Review of Definitions and Properties. - Fabio Massimo Zennaro (CoRR, 2022)

Towards Computing an Optimal Abstraction for Structural Causal Models. - Fabio Massimo Zennaro; Paolo Turrini; Theodoros Damoulas (CoRR, 2022)

A new decision making model based on Rank Centrality for GDM with fuzzy preference relations. - Anis Yazidi; Magdalena Ivanovska; Fabio Massimo Zennaro; Pedro G. Lind; Enrique Herrera-Viedma (Eur. J. Oper. Res., 2022)

The Agent Web Model: modeling web hacking for reinforcement learning. - László Erdodi; Fabio Massimo Zennaro (Int. J. Inf. Sec., 2022)

Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions. - Fabio Massimo Zennaro; Máté Drávucz; Geanina Apachitei; Widanalage Dhammika Widanage; Theodoros Damoulas (CLeaR, 2023)

Quantifying Consistency and Information Loss for Causal Abstraction Learning. - Fabio Massimo Zennaro; Paolo Turrini; Theodoros Damoulas (IJCAI, 2023)

Interventionally Consistent Surrogates for Agent-based Simulators. - Joel Dyer; Nicholas Bishop; Yorgos Felekis; Fabio Massimo Zennaro; Anisoara Calinescu; Theodoros Damoulas; Michael J. Wooldridge (CoRR, 2023)

Modelling penetration testing with reinforcement learning using capture-the-flag challenges: Trade-offs between model-free learning and a priori knowledge. - Fabio Massimo Zennaro; László Erdodi (IET Inf. Secur., 2023)

Causal Optimal Transport of Abstractions. - Yorgos Felekis; Fabio Massimo Zennaro; Nicola Branchini; Theodoros Damoulas (CLeaR, 2024)

Interventionally Consistent Surrogates for Complex Simulation Models. - Joel Dyer; Nicholas Bishop; Yorgos Felekis; Fabio Massimo Zennaro; Anisoara Calinescu; Theodoros Damoulas; Michael J. Wooldridge (NeurIPS, 2024)

Causally Abstracted Multi-armed Bandits. - Fabio Massimo Zennaro; Nicholas Bishop; Joel Dyer; Yorgos Felekis; Anisoara Calinescu; Michael J. Wooldridge; Theodoros Damoulas (UAI, 2024)

Simulating all archetypes of SQL injection vulnerability exploitation using reinforcement learning agents. - Åvald Åslaugson Sommervoll; László Erdodi; Fabio Massimo Zennaro (Int. J. Inf. Sec., 2024)

Aligning Graphical and Functional Causal Abstractions. - Willem Schooltink; Fabio Massimo Zennaro (CLeaR, 2025)

Causal Abstraction Learning based on the Semantic Embedding Principle. - Gabriele D'Acunto; Fabio Massimo Zennaro; Yorgos Felekis; Paolo Di Lorenzo (CoRR, 2025)