Alan Perotti

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 28

Top Topics

Clinical Decision Support

Sequential Data

Top Venues

Inf. Process. Manag.

Publications

Corrado Monti, Paolo Bajardi, Francesco Bonchi, André Panisson, Alan Perotti
A True-to-the-model Axiomatic Benchmark for Graph-based Explainers. Trans. Mach. Learn. Res. 2024 (2024)
Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers. CoRR (2024)
Gemma Bel Bordes, Alan Perotti
Auditing Fairness and Explainability in Chest X-Ray Image Classifiers. ICAART (3) (2024)
Claudio Borile, Alan Perotti, André Panisson
Evaluating Link Prediction Explanations for Graph Neural Networks. CoRR (2023)
Claudio Borile, Alan Perotti, André Panisson
Evaluating Link Prediction Explanations for Graph Neural Networks. xAI (2) (2023)
Cecilia Panigutti, Andrea Beretta, Daniele Fadda, Fosca Giannotti, Dino Pedreschi, Alan Perotti, Salvatore Rinzivillo
Co-design of Human-centered, Explainable AI for Clinical Decision Support. ACM Trans. Interact. Intell. Syst. 13 (4) (2023)
Alice Battiston, Ludovico Napoli, Paolo Bajardi, André Panisson, Alan Perotti, Michael Szell, Rossano Schifanella
Revealing the determinants of gender inequality in urban cycling with large-scale data. EPJ Data Sci. 12 (1) (2023)
Alan Perotti, Simone Bertolotto, Eliana Pastor, André Panisson
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers. xAI (2) (2023)
Alan Perotti, Simone Bertolotto, Eliana Pastor, André Panisson
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers. CoRR (2023)
Foivos Charalampakos, Thomas Tsouparopoulos, Yiannis Papageorgiou, Guido Bologna, André Panisson, Alan Perotti, Iordanis Koutsopoulos
Research Challenges in Trustworthy Artificial Intelligence and Computing for Health: The Case of the PRE-ACT project. EuCNC/6G Summit (2023)
Alessia Celeghin, Alessio Borriero, Davide Orsenigo, Matteo Diano, Carlos Andrés Méndez Guerrero, Alan Perotti, Giovanni Petri, Marco Tamietto
Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues. Frontiers Comput. Neurosci. 17 (2023)
Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra
HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers. xAI (2) (2023)
Alan Perotti, Paolo Bajardi, Francesco Bonchi, André Panisson
Explaining Identity-aware Graph Classifiers through the Language of Motifs. IJCNN (2023)
Francesco Lomuscio, Paolo Bajardi, Alan Perotti, Elvio G. Amparore
Streamlining models with explanations in the learning loop. CoRR (2023)
Alice Battiston, Ludovico Napoli, Paolo Bajardi, André Panisson, Alan Perotti, Michael Szell, Rossano Schifanella
Revealing the determinants of gender inequality in urban cycling with large-scale data. CoRR (2022)
Francesco Lomuscio, Paolo Bajardi, Alan Perotti, Elvio G. Amparore
Streamlining models with explanations in the learning loop. DSAA (2022)
Alan Perotti, Paolo Bajardi, Francesco Bonchi, André Panisson
GRAPHSHAP: Motif-based Explanations for Black-box Graph Classifiers. CoRR (2022)
Elvio G. Amparore, Alan Perotti, Paolo Bajardi
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods. PeerJ Comput. Sci. 7 (2021)
Carlo Abrate, Alessio Angius, Gianmarco De Francisci Morales, Stefano Cozzini, Francesca Iadanza, Laura Li Puma, Simone Pavanelli, Alan Perotti, Stefano Pignataro, Silvia Ronchiadin
Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company. ECML/PKDD (4) (2021)
Elvio G. Amparore, Alan Perotti, Paolo Bajardi
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods. CoRR (2021)
Cecilia Panigutti, Alan Perotti, André Panisson, Paolo Bajardi, Dino Pedreschi
FairLens: Auditing black-box clinical decision support systems. Inf. Process. Manag. 58 (5) (2021)
Cecilia Panigutti, Alan Perotti, Dino Pedreschi
Doctor XAI: an ontology-based approach to black-box sequential data classification explanations. FAT* (2020)
Cecilia Panigutti, Alan Perotti, André Panisson, Paolo Bajardi, Dino Pedreschi
FairLens: Auditing Black-box Clinical Decision Support Systems. CoRR (2020)
Francesco Bodria, André Panisson, Alan Perotti, Simone Piaggesi
Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis. SEBD (2020)
Viviana Pinto, Alan Perotti, Tania Cerquitelli
Modeling Urban Traffic Data Through Graph-Based Neural Networks. INNSBDDL (2019)
Valentina Ghidini, Alan Perotti, Rossano Schifanella
Quantitative and Ontology-Based Comparison of Explanations for Image Classification. LOD (2019)
Panchamy Krishnakumari, Alan Perotti, Viviana Pinto, Oded Cats, Hans van Lint
Understanding Network Traffic States using Transfer Learning. ITSC (2018)
Federica Bisio, Salvatore Saeli, Pierangelo Lombardo, Davide Bernardi, Alan Perotti, Danilo Massa
Real-time behavioral DGA detection through machine learning. ICCST (2017)
Alan Perotti, Artur S. d'Avila Garcez, Guido Boella
Neural-symbolic monitoring and adaptation. IJCNN (2015)
Alan Perotti, Guido Boella, Artur S. d'Avila Garcez
Runtime Verification Through Forward Chaining. RV (2015)
Alan Perotti, Guido Boella, Artur S. d'Avila Garcez
Scalable Process Monitoring through Rules and Neural Networks. SIMPDA (2014)
Alan Perotti, Guido Boella, Artur S. d'Avila Garcez
Runtime Verification Through Forward Chaining. HCVS (2014)
Alan Perotti, Artur S. d'Avila Garcez, Guido Boella
Neural Networks for Runtime Verification. IJCNN (2014)
Dionysios Kontarinis, Elise Bonzon, Nicolas Maudet, Alan Perotti, Leon van der Torre, Serena Villata
Rewriting Rules for the Computation of Goal-Oriented Changes in an Argumentation System. CLIMA (2013)
Alan Perotti
RuleRunner technical report. CoRR (2013)
Alan Perotti, Artur d'Avila Garcez, Guido Boella, Daniele Rispoli
Neural-Symbolic Rule-Based Monitoring. NeSy@AAAI (2012)
Guido Boella, Silvano Colombo Tosatto, Artur S. d'Avila Garcez, Valerio Genovese, Alan Perotti, Leendert W. N. van der Torre
Learning and reasoning about norms using neural-symbolic systems. AAMAS (2012)
Guido Boella, Dov M. Gabbay, Alan Perotti, Leendert W. N. van der Torre, Serena Villata
Argumentative Agents Negotiating on Potential Attacks. KES-AMSTA (2011)
Guido Boella, Dov M. Gabbay, Alan Perotti, Leendert W. N. van der Torre, Serena Villata
Conditional Labelling for Abstract Argumentation. TAFA (2011)
Alan Perotti, Guido Boella, Dov M. Gabbay, Leon van der Torre, Serena Villata
Conditional Labelling for Abstract Argumentation. ICCSW (2011)
Tjitze Rienstra, Alan Perotti, Serena Villata, Dov M. Gabbay, Leendert W. N. van der Torre
Multi-sorted Argumentation. TAFA (2011)