Publications
2025
- A Methodology for Incompleteness-Tolerant and Modular Gradual Semantics for Argumentative Statement Graphs
A. Rago, S.L. Vasileiou, S. Tran, F. Toni & W. Yeoh
KR 2025 - On Gradual Semantics for Assumption-Based Argumentation
A. Rapberger, F, Russo, A. Rago & F. Toni
KR 2025 - Counterfactual Explanations under Model Multiplicity and their Use in Computational Argumentation
G. Alfano, A. Gould, F. Leofante, A. Rago & F. Toni
IJCAI 2025 - Argumentative Large Language Models for Explainable and Contestable Decision-Making
G. Freedman, A. Dejl, D. Gorur, X. Yin, A. Rago & F. Toni
AAAI 2025 - Free Argumentative Exchanges for Explaining Image Classifiers
A. Kori, A. Rago & F. Toni
AAMAS 2025 - Argumentatively Coherent Judgmental Forecasting
D. Gorur, A. Rago & F. Toni
ECAI 2025 - ADA-X: An Online System for Fully Automated, Explainable Review Aggregation
L. Gao, H. Muyassar, Y. Hunanyan, S. Pongpanich, A. Rago & F. Toni
ECAI 2025 (Demo Track) - Explainable Reinforcement Learning for Formula One Race Strategy
D. Thomas, J. Jiang, A. Kori, A. Russo, S. Winkler, S. Sale, J. McMillan, F. Belardinelli & A. Rago
SAC 2025 - Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy
J. Todd, J. Jiang, A. Russo, S. Winkler, S. Sale, J. McMillan & A. Rago
SAC 2025 - Explainable Prediction of the Mechanical Properties of Composites with CNNs
V. Raaghav, D. Bikos, A. Rago, F. Toni & M. Charalambides
PAIS 2025 - Exploring the Effect of Explanation Content and Format on User Comprehension and Trust in Healthcare
A. Rago, B. Palfi, P. Sukpanichnant, H. Nabli, K. Vivek, O. Kostopoulou, J. Kinross & F. Toni
PAIS 2025 - Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models
K. Zhou, A. Dejl, G. Freedman, L. Chen, A. Rago & F. Toni
EMNLP (Findings) 2025 - Can Large Language Models perform Relation-based Argument Mining?
D. Gorur, A. Rago & F. Toni
COLING 2025 - Argumentative Review Aggregation and Dialogical Explanations
A. Rago, O. Cocarascu, J. Oksanen & F. Toni
AIJ - Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference
X. Zhai, J, Jiang, A, Dejl, A. Rago, F. Guo, F. Toni & A. Sivakumar
Information Fusion - Aggregating Bipolar Opinions through Bipolar Assumption-based Argumentation
C. Dickie, S. Lauren, F. Belardinelli, A. Rago & F. Toni
JAAMAS - Argumentation and Machine Learning
A. Rago, K. Cyras, J. Mumford & O. Cocarascu
Handbook of Formal Argumentation, Volume 3 - When Humans Revise Their Beliefs, Explanations Matter: Evidence from User Studies and What It Means for AI Alignment
S.L. Vasileiou, A. Rago, M.V. Martinez & W. Yeoh
HAXP 2025 @ ICAPS 2025
2024
- A Little of That Human Touch: Achieving Human-Centric Explainable AI via Argumentation
A. Rago
IJCAI 2024 (Early Career Track) - Robust Counterfactual Explanations in Machine Learning: A Survey
J. Jiang, F. Leofante, A. Rago & F. Toni
IJCAI 2024 (Survey Track) - Advancing Interactive Explainable AI via Belief Change Theory
A. Rago & M.V. Martinez
KR 2024 (Reasoning, Learning, & Decision Making Track) - Contestable AI needs Computational Argumentation
F. Leofante, H. Ayoobi, A. Dejl, G. Freedman, D. Gorur, J. Jiang, G. Paulino-Passos, A. Rago, A. Rapberger, F. Russo, X. Yin, D. Zhang & F. Toni
KR 2024 (Reasoning, Learning, & Decision Making Track) - Recourse under Model Multiplicity via Argumentative Ensembling
J. Jiang, F. Leofante, A. Rago & F. Toni
AAMAS 2024 - Integrating User Preferences into Gradual Bipolar Argumentation for Personalised Decision Support
E. Battaglia, P. Baroni, A. Rago & F. Toni
SUM 2024 - Interval Abstractions for Robust Counterfactual Explanations
J. Jiang, F. Leofante, A. Rago & F. Toni
AIJ - Predicting Human Judgement in Online Debates with Argumentation
B. Oluokun, G. Paulino Passos, A. Rago & F. Toni
CMNA 2024 @ COMMA 2024
2023
- Formalising the Robustness of Counterfactual Explanations for Neural Networks
J. Jiang, F. Leofante, A. Rago & F. Toni
AAAI 2023 - Interactive Explanations by Conflict Resolution via Argumentative Exchanges
A. Rago, H. Li & F. Toni
KR 2023 - Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation
J. Jiang, J. Lan, F. Leofante, A. Rago and F. Toni
ACML 2023 - Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers
E. Albini, A. Rago, P. Baroni & F. Toni
Frontiers - Explaining Classifiers' Outputs with Causal Models and Argumentation
A. Rago, F. Russo, E. Albini, P. Baroni & F. Toni
IfCoLog - ROAD2H: Development and evaluation of an open-source explainable artificial intelligence approach for managing co-morbidity and clinical guidelines
J. Domínguez, D. Prociuk, B. Marovic, K. Cyras, O. Cocarascu, F. Ruiz, E. Mi, E. Mi, C. Ramtale, A. Rago, A. Darzi, F. Toni, V. Curcin & B. Delaney
Learning Health Systems - Forecasting with Jury-Based Probabilistic Argumentation
F. Toni, A. Rago & K. Cyras
JANCL - ArguCast: A System for Online Multi-Forecasting with Gradual Argumentation
D. Gorur, A. Rago & F. Toni
Arg&App 2023 @ KR 2023 - The Recourse Problem under Model Multiplicity
J. Jiang, A. Rago, F. Leofante & F. Toni
XAIFIN 2023 @ ICAIF 2023
2022
- Explaining Causal Models with Argumentation: the Case of Bi-variate Reinforcement
A. Rago, P. Baroni and F. Toni
KR 2022 - Forecasting Argumentation Frameworks
B. Irwin, A. Rago and F. Toni
KR 2022 - Argumentative Forecasting
B. Irwin, A. Rago and F. Toni
AAMAS 2022 (Extended Abstract) - Descriptive Accuracy in Explanations: The Case of Probabilistic Classifiers
E. Albini, A. Rago, P. Baroni and F. Toni
SUM 2022 - Mining Property-driven Graphical Explanations for Data-centric AI from Argumentation Frameworks
O. Cocarascu, K. Cyras, A. Rago and F. Toni
Human-Like Machine Intelligence - Should counterfactual explanations always be data instances?
J. Jiang, A. Rago and F. Toni
XLoKR 2022 @ KR 2022 - Formalising the Robustness of Counterfactual Explanations for Neural Networks
J. Jiang, F. Leofante, A. Rago and F. Toni
XAIFIN 2022 @ ICAIF 2022
2021
- Argumentative XAI: A Survey
K. Cyras, A. Rago, E. Albini, P Baroni & F. Toni
IJCAI 2021 (Survey Track) - Argflow: A Toolkit for Deep Argumentative Explanations for Neural Networks
A. Dejl, P. He, P. Mangal, H. Mohsin, B. Surdu, E. Voinea, E. Albini, P. Lertvittayakumjorn, A. Rago and F. Toni
AAMAS 2021 (Demo Track) - Influence-Driven Explanations for Bayesian Network Classifiers
E. Albini, A. Rago, P. Baroni and F. Toni
PRICAI 2021 - Interpreting and explaining PageRank through argumentation semantics
E. Albini, P. Baroni, A. Rago and F. Toni
Intelligenza Artificiale - Argumentative Explanations for Interactive Recommendations
A. Rago, O. Cocarascu, C. Bechlivanidis, D. Lagnado & F. Toni
AIJ - Forging Argumentative Explanations from Causal Models
A. Rago, F. Russo, E. Albini, P. Baroni and F. Toni
AI^3 2021 @ AIxIA 2021 - Neural QBAFs: Explaining Neural Networks Under LRP-Based Argumentation Frameworks
P. Sukpanichnant, A. Rago, P. Lertvittayakumjorn and F. Toni
XAI.it 2021 @ AIxIA 2021 - LRP-Based Argumentative Explanations for Neural Networks
P. Sukpanichnant, A. Rago, P. Lertvittayakumjorn and F. Toni
XAI.it 2021 @ AIxIA 2021
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2018
2017
2016
