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Alan Perotti
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- affiliation: University of Turin, Italy
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2020 – today
- 2024
- [j6]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) - [c29]Simone Bertolotto, André Panisson, Alan Perotti:
LLM-Generated Class Descriptions for Semantically Meaningful Image Classification. EXPLAINS 2024: 50-61 - [c28]Gemma Bel Bordes, Alan Perotti:
Auditing Fairness and Explainability in Chest X-Ray Image Classifiers. ICAART (3) 2024: 1308-1315 - [c27]Alessio Borriero, Martina Milazzo, Matteo Diano
, Davide Orsenigo, Maria-Chiara Villa
Explainable Emotion Decoding for Human and Computer Vision. xAI (2) 2024: 178-201 - [c26]Alan Perotti
Explainability, Quantified: Benchmarking XAI Techniques. xAI (1) 2024: 421-444 - [i10]Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra:
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers. CoRR abs/2403.08536 (2024) - [i9]Alessio Borriero, Martina Milazzo, Matteo Diano, Davide Orsenigo, Maria-Chiara Villa, Chiara Di Fazio, Marco Tamietto, Alan Perotti:
Explainable Emotion Decoding for Human and Computer Vision. CoRR abs/2408.00493 (2024) - 2023
- [j5]Alice Battiston
Revealing the determinants of gender inequality in urban cycling with large-scale data. EPJ Data Sci. 12(1): 9 (2023) - [j4]Alessia Celeghin, Alessio Borriero
Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues. Frontiers Comput. Neurosci. 17 (2023) - [j3]Cecilia Panigutti
Co-design of Human-centered, Explainable AI for Clinical Decision Support. ACM Trans. Interact. Intell. Syst. 13(4): 21:1-21:35 (2023) - [c25]Foivos Charalampakos, Thomas Tsouparopoulos, Yiannis Papageorgiou, Guido Bologna, André Panisson, Alan Perotti
Research Challenges in Trustworthy Artificial Intelligence and Computing for Health: The Case of the PRE-ACT project. EuCNC/6G Summit 2023: 629-634 - [c24]Alan Perotti
Explaining Identity-aware Graph Classifiers through the Language of Motifs. IJCNN 2023: 1-8 - [c23]Claudio Borile, Alan Perotti, André Panisson:
Evaluating Link Prediction Explanations for Graph Neural Networks. xAI (2) 2023: 382-401 - [c22]Francesco Dibitonto
HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers. xAI (2) 2023: 475-498 - [c21]Alan Perotti
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers. xAI (2) 2023: 525-548 - [i8]Francesco Lomuscio, Paolo Bajardi, Alan Perotti
Streamlining models with explanations in the learning loop. CoRR abs/2302.07760 (2023) - [i7]Alan Perotti
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers. CoRR abs/2308.00607 (2023) - [i6]Claudio Borile, Alan Perotti
Evaluating Link Prediction Explanations for Graph Neural Networks. CoRR abs/2308.01682 (2023) - 2022
- [c20]Francesco Lomuscio, Paolo Bajardi, Alan Perotti
Streamlining models with explanations in the learning loop. DSAA 2022: 1-10 - [i5]Alan Perotti, Paolo Bajardi, Francesco Bonchi, André Panisson:
GRAPHSHAP: Motif-based Explanations for Black-box Graph Classifiers. CoRR abs/2202.08815 (2022) - [i4]Alice Battiston, Ludovico Napoli, Paolo Bajardi, André Panisson, Alan Perotti
Revealing the determinants of gender inequality in urban cycling with large-scale data. CoRR abs/2203.09378 (2022) - 2021
- [j2]Cecilia Panigutti
FairLens: Auditing black-box clinical decision support systems. Inf. Process. Manag. 58(5): 102657 (2021) - [j1]Elvio G. Amparore, Alan Perotti
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods. PeerJ Comput. Sci. 7: e479 (2021) - [c19]Carlo Abrate, Alessio Angius, Gianmarco De Francisci Morales, Stefano Cozzini, Francesca Iadanza, Laura Li Puma, Simone Pavanelli, Alan Perotti
Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company. ECML/PKDD (4) 2021: 237-252 - [i3]Elvio G. Amparore, Alan Perotti, Paolo Bajardi:
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods. CoRR abs/2106.00461 (2021) - 2020
- [c18]Cecilia Panigutti
Doctor XAI: an ontology-based approach to black-box sequential data classification explanations. FAT* 2020: 629-639 - [c17]Francesco Bodria, André Panisson, Alan Perotti, Simone Piaggesi:
Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis. SEBD 2020: 100-107 - [i2]Cecilia Panigutti
FairLens: Auditing Black-box Clinical Decision Support Systems. CoRR abs/2011.04049 (2020)
2010 – 2019
- 2019
- [c16]Viviana Pinto, Alan Perotti, Tania Cerquitelli:
Modeling Urban Traffic Data Through Graph-Based Neural Networks. INNSBDDL 2019: 216-225 - [c15]Valentina Ghidini, Alan Perotti
Quantitative and Ontology-Based Comparison of Explanations for Image Classification. LOD 2019: 58-70 - 2018
- [c14]Panchamy Krishnakumari, Alan Perotti
Understanding Network Traffic States using Transfer Learning. ITSC 2018: 1396-1401 - 2017
- [c13]Federica Bisio, Salvatore Saeli, Pierangelo Lombardo, Davide Bernardi, Alan Perotti
Real-time behavioral DGA detection through machine learning. ICCST 2017: 1-6 - 2015
- [c12]Alan Perotti
Neural-symbolic monitoring and adaptation. IJCNN 2015: 1-8 - [c11]Alan Perotti
Runtime Verification Through Forward Chaining. RV 2015: 185-200 - [e2]Luigi Di Caro, Carmine Dodaro, Andrea Loreggia, Roberto Navigli, Alan Perotti, Manuela Sanguinetti:
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. CEUR Workshop Proceedings 1334, CEUR-WS.org 2015 [contents] - 2014
- [c10]Alan Perotti
Neural Networks for Runtime Verification. IJCNN 2014: 2637-2644 - [c9]Alan Perotti, Guido Boella, Artur S. d'Avila Garcez:
Scalable Process Monitoring through Rules and Neural Networks. SIMPDA 2014: 108-122 - [c8]Alan Perotti
Runtime Verification Through Forward Chaining. HCVS 2014: 68-81 - [e1]Alan Perotti, Luigi Di Caro:
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. CEUR Workshop Proceedings 1126, CEUR-WS.org 2014 [contents] - 2013
- [c7]Dionysios Kontarinis, Elise Bonzon, Nicolas Maudet
Rewriting Rules for the Computation of Goal-Oriented Changes in an Argumentation System. CLIMA 2013: 51-68 - [i1]Alan Perotti:
RuleRunner technical report. CoRR abs/1306.0810 (2013) - 2012
- [c6]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: 1023-1030 - [c5]Alan Perotti, Artur d'Avila Garcez, Guido Boella, Daniele Rispoli:
Neural-Symbolic Rule-Based Monitoring. NeSy@AAAI 2012 - 2011
- [c4]Alan Perotti, Guido Boella, Dov M. Gabbay, Leon van der Torre, Serena Villata:
Conditional Labelling for Abstract Argumentation. ICCSW 2011: 59-65 - [c3]Guido Boella, Dov M. Gabbay, Alan Perotti
Argumentative Agents Negotiating on Potential Attacks. KES-AMSTA 2011: 280-290 - [c2]Tjitze Rienstra, Alan Perotti, Serena Villata, Dov M. Gabbay, Leendert W. N. van der Torre
Multi-sorted Argumentation. TAFA 2011: 215-231 - [c1]Guido Boella, Dov M. Gabbay, Alan Perotti
Conditional Labelling for Abstract Argumentation. TAFA 2011: 232-248
Coauthor Index
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last updated on 2024-12-13 20:05 CET by the dblp team
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