Alan Perotti

54 papers A 1B 5Journal 21Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Geometry of Representational Failures in Vision Language Models.
CoRR
Daniele Savietto, Declan Campbell, André Panisson, Marco Nurisso, Giovanni Petri, Jonathan D. Cohen, Alan Perotti
2025 — conf
Beyond Input Attribution: A Hands-On Tutorial to Concept-Based Explainable AI and Mechanistic Interpretability.
KDD (2)
Eliana Pastor, Eleonora Poeta, André Panisson, Alan Perotti, Gabriele Ciravegna
2025 J jnl
Bound by semanticity: universal laws governing the generalization-identification tradeoff.
CoRR
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, Giovanni Petri
2025 J jnl
Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks.
CoRR
Francesco Cozzi, Marco Pangallo, Alan Perotti, André Panisson, Corrado Monti
2025 — conf
No Detector to Rule Them All.
DFF@MM
Alan Perotti, Marco Nurisso, Mirko Zaffaroni
2025 J jnl
SAEmnesia: Erasing Concepts in Diffusion Models with Sparse Autoencoders.
CoRR
Enrico Cassano, Riccardo Renzulli, Marco Nurisso, Mirko Zaffaroni, Alan Perotti, Marco Grangetto
2025 J jnl
Size-adaptive Hypothesis Testing for Fairness.
CoRR
Antonio Ferrara, Francesco Cozzi, Alan Perotti, André Panisson, Francesco Bonchi
2024 J jnl
A True-to-the-model Axiomatic Benchmark for Graph-based Explainers.
Trans. Mach. Learn. Res.
Corrado Monti, Paolo Bajardi, Francesco Bonchi, André Panisson, Alan Perotti
2024 — conf
Auditing Fairness and Explainability in Chest X-Ray Image Classifiers.
ICAART (3)
Gemma Bel Bordes, Alan Perotti
2024 — conf
Explainability, Quantified: Benchmarking XAI Techniques.
xAI (1)
Alan Perotti, Claudio Borile, Arianna Miola, Francesco Paolo Nerini, Paolo Baracco, André Panisson
2024 — conf
Explainable Emotion Decoding for Human and Computer Vision.
xAI (2)
Alessio Borriero, Martina Milazzo, Matteo Diano, Davide Orsenigo, Maria-Chiara Villa, Chiara Di Fazio, Marco Tamietto, Alan Perotti
2024 J jnl
Explainable Emotion Decoding for Human and Computer Vision.
CoRR
Alessio Borriero, Martina Milazzo, Matteo Diano, Davide Orsenigo, Maria-Chiara Villa, Chiara Di Fazio, Marco Tamietto, Alan Perotti
2024 J jnl
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers.
CoRR
Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra
2024 — conf
LLM-Generated Class Descriptions for Semantically Meaningful Image Classification.
EXPLAINS
Simone Bertolotto, André Panisson, Alan Perotti
2023 — conf
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers.
xAI (2)
Alan Perotti, Simone Bertolotto, Eliana Pastor, André Panisson
2023 J jnl
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers.
CoRR
Alan Perotti, Simone Bertolotto, Eliana Pastor, André Panisson
2023 J jnl
Co-design of Human-centered, Explainable AI for Clinical Decision Support.
ACM Trans. Interact. Intell. Syst.
Cecilia Panigutti, Andrea Beretta, Daniele Fadda, Fosca Giannotti, Dino Pedreschi, Alan Perotti, Salvatore Rinzivillo
2023 J jnl
Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues.
Frontiers Comput. Neurosci.
Alessia Celeghin, Alessio Borriero, Davide Orsenigo, Matteo Diano, Carlos Andrés Méndez Guerrero, Alan Perotti, Giovanni Petri, Marco Tamietto
2023 — conf
Evaluating Link Prediction Explanations for Graph Neural Networks.
xAI (2)
Claudio Borile, Alan Perotti, André Panisson
2023 J jnl
Evaluating Link Prediction Explanations for Graph Neural Networks.
CoRR
Claudio Borile, Alan Perotti, André Panisson
2023 B conf
Explaining Identity-aware Graph Classifiers through the Language of Motifs.
IJCNN
Alan Perotti, Paolo Bajardi, Francesco Bonchi, André Panisson
2023 — conf
HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers.
xAI (2)
Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra
2023 — conf
Research Challenges in Trustworthy Artificial Intelligence and Computing for Health: The Case of the PRE-ACT project.
EuCNC/6G Summit
Foivos Charalampakos, Thomas Tsouparopoulos, Yiannis Papageorgiou, Guido Bologna, André Panisson, Alan Perotti, Iordanis Koutsopoulos
2023 J jnl
Revealing the determinants of gender inequality in urban cycling with large-scale data.
EPJ Data Sci.
Alice Battiston, Ludovico Napoli, Paolo Bajardi, André Panisson, Alan Perotti, Michael Szell, Rossano Schifanella
2023 J jnl
Streamlining models with explanations in the learning loop.
CoRR
Francesco Lomuscio, Paolo Bajardi, Alan Perotti, Elvio G. Amparore
2022 J jnl
GRAPHSHAP: Motif-based Explanations for Black-box Graph Classifiers.
CoRR
Alan Perotti, Paolo Bajardi, Francesco Bonchi, André Panisson
2022 J jnl
Revealing the determinants of gender inequality in urban cycling with large-scale data.
CoRR
Alice Battiston, Ludovico Napoli, Paolo Bajardi, André Panisson, Alan Perotti, Michael Szell, Rossano Schifanella
2022 B conf
Streamlining models with explanations in the learning loop.
DSAA
Francesco Lomuscio, Paolo Bajardi, Alan Perotti, Elvio G. Amparore
2021 — conf
Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company.
ECML/PKDD (4)
Carlo Abrate, Alessio Angius, Gianmarco De Francisci Morales, Stefano Cozzini, Francesca Iadanza, Laura Li Puma, Simone Pavanelli, Alan Perotti, Stefano Pignataro, Silvia Ronchiadin
2021 J jnl
FairLens: Auditing black-box clinical decision support systems.
Inf. Process. Manag.
Cecilia Panigutti, Alan Perotti, André Panisson, Paolo Bajardi, Dino Pedreschi
2021 J jnl
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods.
CoRR
Elvio G. Amparore, Alan Perotti, Paolo Bajardi
2021 J jnl
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods.
PeerJ Comput. Sci.
Elvio G. Amparore, Alan Perotti, Paolo Bajardi
2020 — conf
Doctor XAI: an ontology-based approach to black-box sequential data classification explanations.
FAT*
Cecilia Panigutti, Alan Perotti, Dino Pedreschi
2020 — conf
Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis.
SEBD
Francesco Bodria, André Panisson, Alan Perotti, Simone Piaggesi
2020 J jnl
FairLens: Auditing Black-box Clinical Decision Support Systems.
CoRR
Cecilia Panigutti, Alan Perotti, André Panisson, Paolo Bajardi, Dino Pedreschi
2019 — conf
Modeling Urban Traffic Data Through Graph-Based Neural Networks.
INNSBDDL
Viviana Pinto, Alan Perotti, Tania Cerquitelli
2019 — conf
Quantitative and Ontology-Based Comparison of Explanations for Image Classification.
LOD
Valentina Ghidini, Alan Perotti, Rossano Schifanella
2018 — conf
Understanding Network Traffic States using Transfer Learning.
ITSC
Panchamy Krishnakumari, Alan Perotti, Viviana Pinto, Oded Cats, Hans van Lint
2017 — conf
Real-time behavioral DGA detection through machine learning.
ICCST
Federica Bisio, Salvatore Saeli, Pierangelo Lombardo, Davide Bernardi, Alan Perotti, Danilo Massa
2015 B conf
Neural-symbolic monitoring and adaptation.
IJCNN
Alan Perotti, Artur S. d'Avila Garcez, Guido Boella
2015 — ed.
Proceedings of the Second Doctoral Workshop in Artificial Intelligence (DWAI 2014) An official workshop of the 13th Symposium of the Italian Association for Artificial Intelligence "Artificial Intelligence for Society and Economy" (AI*IA 2014), Pisa, Italy, December 11, 2014.
DWAI@AI*IA
Luigi Di Caro, Carmine Dodaro, Andrea Loreggia, Roberto Navigli, Alan Perotti, Manuela Sanguinetti
2015 B conf
Runtime Verification Through Forward Chaining.
RV
Alan Perotti, Guido Boella, Artur S. d'Avila Garcez
2014 B conf
Neural Networks for Runtime Verification.
IJCNN
Alan Perotti, Artur S. d'Avila Garcez, Guido Boella
2014 — ed.
Proceedings of the First Doctoral Workshop in Artificial Intelligence (DWAI 2013) An official workshop of the 13th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2013), Turin, Italy, December 05, 2013.
DWAI@AI*IA
Alan Perotti, Luigi Di Caro
2014 — conf
Runtime Verification Through Forward Chaining.
HCVS
Alan Perotti, Guido Boella, Artur S. d'Avila Garcez
2014 — conf
Scalable Process Monitoring through Rules and Neural Networks.
SIMPDA
Alan Perotti, Guido Boella, Artur S. d'Avila Garcez
2013 — conf
Rewriting Rules for the Computation of Goal-Oriented Changes in an Argumentation System.
CLIMA
Dionysios Kontarinis, Elise Bonzon, Nicolas Maudet, Alan Perotti, Leon van der Torre, Serena Villata
2013 J jnl
RuleRunner technical report.
CoRR
Alan Perotti
2012 A conf
Learning and reasoning about norms using neural-symbolic systems.
AAMAS
Guido Boella, Silvano Colombo Tosatto, Artur S. d'Avila Garcez, Valerio Genovese, Alan Perotti, Leendert W. N. van der Torre
2012 — conf
Neural-Symbolic Rule-Based Monitoring.
NeSy@AAAI
Alan Perotti, Artur d'Avila Garcez, Guido Boella, Daniele Rispoli
2011 — conf
Argumentative Agents Negotiating on Potential Attacks.
KES-AMSTA
Guido Boella, Dov M. Gabbay, Alan Perotti, Leendert W. N. van der Torre, Serena Villata
2011 — conf
Conditional Labelling for Abstract Argumentation.
ICCSW
Alan Perotti, Guido Boella, Dov M. Gabbay, Leon van der Torre, Serena Villata
2011 — conf
Conditional Labelling for Abstract Argumentation.
TAFA
Guido Boella, Dov M. Gabbay, Alan Perotti, Leendert W. N. van der Torre, Serena Villata
2011 — conf
Multi-sorted Argumentation.
TAFA
Tjitze Rienstra, Alan Perotti, Serena Villata, Dov M. Gabbay, Leendert W. N. van der Torre