Conditional Labelling for Abstract Argumentation. - Alan Perotti; Guido Boella; Dov M. Gabbay; Leon van der Torre; Serena Villata (ICCSW, 2011)

Argumentative Agents Negotiating on Potential Attacks. - Guido Boella; Dov M. Gabbay; Alan Perotti; Leendert W. N. van der Torre; Serena Villata (KES-AMSTA, 2011)

Multi-sorted Argumentation. - Tjitze Rienstra; Alan Perotti; Serena Villata; Dov M. Gabbay; Leendert W. N. van der Torre (TAFA, 2011)

Learning and reasoning about norms using neural-symbolic systems. - Guido Boella; Silvano Colombo Tosatto; Artur S. d'Avila Garcez; Valerio Genovese; Alan Perotti; Leendert W. N. van der Torre (AAMAS, 2012)

Neural-Symbolic Rule-Based Monitoring. - Alan Perotti; Artur d'Avila Garcez; Guido Boella; Daniele Rispoli (NeSy@AAAI, 2012)

Rewriting Rules for the Computation of Goal-Oriented Changes in an Argumentation System. - Dionysios Kontarinis; Elise Bonzon; Nicolas Maudet; Alan Perotti; Leon van der Torre; Serena Villata (CLIMA, 2013)

RuleRunner technical report. - Alan Perotti (CoRR, 2013)

Neural Networks for Runtime Verification. - Alan Perotti; Artur S. d'Avila Garcez; Guido Boella (IJCNN, 2014)

Scalable Process Monitoring through Rules and Neural Networks. - Alan Perotti; Guido Boella; Artur S. d'Avila Garcez (SIMPDA, 2014)

Runtime Verification Through Forward Chaining. - Alan Perotti; Guido Boella; Artur S. d'Avila Garcez (HCVS, 2014)

Neural-symbolic monitoring and adaptation. - Alan Perotti; Artur S. d'Avila Garcez; Guido Boella (IJCNN, 2015)

Real-time behavioral DGA detection through machine learning. - Federica Bisio; Salvatore Saeli; Pierangelo Lombardo; Davide Bernardi; Alan Perotti; Danilo Massa (ICCST, 2017)

Understanding Network Traffic States using Transfer Learning. - Panchamy Krishnakumari; Alan Perotti; Viviana Pinto; Oded Cats; Hans van Lint (ITSC, 2018)

Modeling Urban Traffic Data Through Graph-Based Neural Networks. - Viviana Pinto; Alan Perotti; Tania Cerquitelli (INNSBDDL, 2019)

Quantitative and Ontology-Based Comparison of Explanations for Image Classification. - Valentina Ghidini; Alan Perotti; Rossano Schifanella (LOD, 2019)

Doctor XAI: an ontology-based approach to black-box sequential data classification explanations. - Cecilia Panigutti; Alan Perotti; Dino Pedreschi (FAT*, 2020)

Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis. - Francesco Bodria; André Panisson; Alan Perotti; Simone Piaggesi (SEBD, 2020)

Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company. - Carlo Abrate; Alessio Angius; Gianmarco De Francisci Morales; Stefano Cozzini; Francesca Iadanza; Laura Li Puma; Simone Pavanelli; Alan Perotti; Stefano Pignataro; Silvia Ronchiadin (ECML/PKDD (4), 2021)

FairLens: Auditing black-box clinical decision support systems. - Cecilia Panigutti; Alan Perotti; André Panisson; Paolo Bajardi; Dino Pedreschi (Inf. Process. Manag., 2021)

To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods. - Elvio G. Amparore; Alan Perotti; Paolo Bajardi (PeerJ Comput. Sci., 2021)

Streamlining models with explanations in the learning loop. - Francesco Lomuscio; Paolo Bajardi; Alan Perotti; Elvio G. Amparore (DSAA, 2022)

GRAPHSHAP: Motif-based Explanations for Black-box Graph Classifiers. - Alan Perotti; Paolo Bajardi; Francesco Bonchi; André Panisson (CoRR, 2022)

Research Challenges in Trustworthy Artificial Intelligence and Computing for Health: The Case of the PRE-ACT project. - Foivos Charalampakos; Thomas Tsouparopoulos; Yiannis Papageorgiou; Guido Bologna; André Panisson; Alan Perotti; Iordanis Koutsopoulos (EuCNC/6G Summit, 2023)

Explaining Identity-aware Graph Classifiers through the Language of Motifs. - Alan Perotti; Paolo Bajardi; Francesco Bonchi; André Panisson (IJCNN, 2023)

Evaluating Link Prediction Explanations for Graph Neural Networks. - Claudio Borile; Alan Perotti; André Panisson (xAI (2), 2023)

HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers. - Francesco Dibitonto; Fabio Garcea; André Panisson; Alan Perotti; Lia Morra (xAI (2), 2023)

Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers. - Alan Perotti; Simone Bertolotto; Eliana Pastor; André Panisson (xAI (2), 2023)

Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues. - Alessia Celeghin; Alessio Borriero; Davide Orsenigo; Matteo Diano; Carlos Andrés Méndez Guerrero; Alan Perotti; Giovanni Petri; Marco Tamietto (Frontiers Comput. Neurosci., 2023)

Revealing the determinants of gender inequality in urban cycling with large-scale data. - Alice Battiston; Ludovico Napoli; Paolo Bajardi; André Panisson; Alan Perotti; Michael Szell; Rossano Schifanella (EPJ Data Sci., 2023)

Co-design of Human-centered, Explainable AI for Clinical Decision Support. - Cecilia Panigutti; Andrea Beretta; Daniele Fadda; Fosca Giannotti; Dino Pedreschi; Alan Perotti; Salvatore Rinzivillo (ACM Trans. Interact. Intell. Syst., 2023)

LLM-Generated Class Descriptions for Semantically Meaningful Image Classification. - Simone Bertolotto; André Panisson; Alan Perotti (EXPLAINS, 2024)

Auditing Fairness and Explainability in Chest X-Ray Image Classifiers. - Gemma Bel Bordes; Alan Perotti (ICAART (3), 2024)

Explainable Emotion Decoding for Human and Computer Vision. - Alessio Borriero; Martina Milazzo; Matteo Diano; Davide Orsenigo; Maria-Chiara Villa; Chiara Di Fazio; Marco Tamietto; Alan Perotti (xAI (2), 2024)

Explainability, Quantified: Benchmarking XAI Techniques. - Alan Perotti; Claudio Borile; Arianna Miola; Francesco Paolo Nerini; Paolo Baracco; André Panisson (xAI (1), 2024)

A True-to-the-model Axiomatic Benchmark for Graph-based Explainers. - Corrado Monti; Paolo Bajardi; Francesco Bonchi; André Panisson; Alan Perotti (Trans. Mach. Learn. Res., 2024)

Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks. - Francesco Cozzi; Marco Pangallo; Alan Perotti; André Panisson; Corrado Monti (CoRR, 2025)

Size-adaptive Hypothesis Testing for Fairness. - Antonio Ferrara 003; Francesco Cozzi; Alan Perotti; André Panisson; Francesco Bonchi (CoRR, 2025)

Bound by semanticity: universal laws governing the generalization-identification tradeoff. - Marco Nurisso; Jesseba Fernando; Raj Deshpande; Alan Perotti; Raja Marjieh; Steven M. Frankland; Richard L. Lewis; Taylor W. Webb; Declan Campbell; Francesco Vaccarino; Jonathan D. Cohen 003; Giovanni Petri (CoRR, 2025)