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ORCIDPietro Barbiero
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- affiliation: University of Cambridge, UK
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2020 – today
- 2025
[j5]Francesco Prinzi
, Pietro Barbiero, Claudia Greco, Terry Amorese, Gennaro Cordasco, Pietro Liò, Salvatore Vitabile, Anna Esposito:
Using AI explainable models and handwriting/drawing tasks for psychological well-being. Inf. Syst. 127: 102465 (2025)- [i33]Mohan Li, Martin Gjoreski, Pietro Barbiero, Gasper Slapnicar, Mitja Lustrek, Nicholas D. Lane, Marc Langheinrich:
A Survey on Federated Learning in Human Sensing. CoRR abs/2501.04000 (2025) - 2024
- [j4]Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna, Eros Pasero:
Gradient-Based Competitive Learning: Theory. Cogn. Comput. 16(2): 608-623 (2024) - [c31]Daniil E. Kirilenko, Pietro Barbiero, Martin Gjoreski, Mitja Lustrek, Marc Langheinrich:
Generative Models for Counterfactual Explanations. HI-AI@KDD 2024: 18-30 - [c30]Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Francesco Giannini, Zohreh Shams, Damien Garreau, Mateja Jamnik, Tania Cerquitelli:
Workshop on Human-Interpretable AI. KDD 2024: 6708-6709 - [c29]Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra:
Relational Concept Bottleneck Models. NeurIPS 2024 - [c28]David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra:
Interpretable Concept-Based Memory Reasoning. NeurIPS 2024 - [c27]Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich:
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. NeurIPS 2024 - [c26]Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich:
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 81-88 - [c25]Francesco Giannini, Stefano Fioravanti, Pietro Barbiero, Alberto Tonda, Pietro Liò, Elena Di Lavore:
Categorical Foundation of Explainable AI: A Unifying Theory. xAI (3) 2024: 185-206 - [e1]Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Francesco Giannini, Damien Garreau, Mateja Jamnik, Tania Cerquitelli:
Proceedings of the KDD Workshop on Human-Interpretable AI 2024 co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Centre de Convencions Internacional de Barcelona, Spain, August 26, 2024. CEUR Workshop Proceedings 3841, CEUR-WS.org 2024 [contents] - [i32]Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich:
Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models. CoRR abs/2402.01408 (2024) - [i31]Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich:
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. CoRR abs/2405.15632 (2024) - [i30]Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich:
Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning. CoRR abs/2405.16507 (2024) - [i29]Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich:
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. CoRR abs/2405.16508 (2024) - [i28]Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Danilo Giordano, Tania Cerquitelli:
Self-supervised Interpretable Concept-based Models for Text Classification. CoRR abs/2406.14335 (2024) - [i27]David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra:
Interpretable Concept-Based Memory Reasoning. CoRR abs/2407.15527 (2024) - [i26]Aurora Spagnol, Kacper Sokol, Pietro Barbiero, Marc Langheinrich, Martin Gjoreski:
Counterfactual Explanations for Clustering Models. CoRR abs/2409.12632 (2024) - 2023
- [j3]Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci:
Logic Explained Networks. Artif. Intell. 314: 103822 (2023) - [c24]Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Liò:
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. AAAI 2023: 10675-10683 - [c23]Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik:
Towards Robust Metrics for Concept Representation Evaluation. AAAI 2023: 11791-11799 - [c22]Lidia Alecci, Leonardo Alchieri, Nouran Abdalazim, Pietro Barbiero, Silvia Santini, Martin Gjoreski:
Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition. UbiComp/ISWC Adjunct 2023: 540-545 - [c21]Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini:
Global Explainability of GNNs via Logic Combination of Learned Concepts. ICLR 2023 - [c20]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. ICML 2023: 1801-1825 - [c19]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Liò, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. NeSy 2023: 422-423 - [c18]Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci:
Logic Explained Networks. NeSy 2023: 432-433 - [c17]Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero:
Interpretable Graph Networks Formulate Universal Algebra Conjectures. NeurIPS 2023 - [c16]Oguzhan Keskin, Alisia Maria Lupidi, Stefano Fioravanti, Lucie Charlotte Magister, Pietro Barbiero, Pietro Lio, Francesco Giannini:
Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach. TAG-ML 2023: 156-168 - [c15]Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò:
Concept Distillation in Graph Neural Networks. xAI (3) 2023: 233-255 - [p7]Gabriele Ciravegna, Francesco Giannini, Pietro Barbiero, Marco Gori, Pietro Lio, Marco Maggini, Stefano Melacci:
Learning Logic Explanations by Neural Networks. Compendium of Neurosymbolic Artificial Intelligence 2023: 547-558 - [i25]Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik:
Towards Robust Metrics for Concept Representation Evaluation. CoRR abs/2301.10367 (2023) - [i24]Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro Barbiero, Mateja Jamnik, Pietro Liò:
GCI: A (G)raph (C)oncept (I)nterpretation Framework. CoRR abs/2302.04899 (2023) - [i23]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio', Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. CoRR abs/2304.14068 (2023) - [i22]Pietro Barbiero, Stefano Fioravanti, Francesco Giannini, Alberto Tonda, Pietro Liò, Elena Di Lavore:
Categorical Foundations of Explainable AI: A Unifying Formalism of Structures and Semantics. CoRR abs/2304.14094 (2023) - [i21]Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski:
SHARCS: Shared Concept Space for Explainable Multimodal Learning. CoRR abs/2307.00316 (2023) - [i20]Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lio, Pietro Barbiero:
Interpretable Graph Networks Formulate Universal Algebra Conjectures. CoRR abs/2307.11688 (2023) - [i19]Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra:
Relational Concept Based Models. CoRR abs/2308.11991 (2023) - [i18]Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà:
From Charts to Atlas: Merging Latent Spaces into One. CoRR abs/2311.06547 (2023) - [i17]Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò, Nikola Simidjievski:
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts. CoRR abs/2311.15112 (2023) - [i16]Alessandro Farace di Villaforesta, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò:
Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians. CoRR abs/2312.02225 (2023) - 2022
- [j2]Marta Lovino, Vincenzo Randazzo, Gabriele Ciravegna, Pietro Barbiero, Elisa Ficarra, Giansalvo Cirrincione:
A survey on data integration for multi-omics sample clustering. Neurocomputing 488: 494-508 (2022) - [c14]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci:
Entropy-Based Logic Explanations of Neural Networks. AAAI 2022: 6046-6054 - [c13]Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió:
Algorithmic Concept-Based Explainable Reasoning. AAAI 2022: 6685-6693 - [c12]Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Liò:
Extending Logic Explained Networks to Text Classification. EMNLP 2022: 8838-8857 - [c11]Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frédéric Precioso, Stefano Melacci, Adrian Weller, Pietro Lió, Mateja Jamnik:
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off. NeurIPS 2022 - [i15]Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik:
Encoding Concepts in Graph Neural Networks. CoRR abs/2207.13586 (2022) - [i14]Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Lió:
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. CoRR abs/2208.10609 (2022) - [i13]Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frédéric Precioso, Stefano Melacci, Adrian Weller, Pietro Liò, Mateja Jamnik:
Concept Embedding Models. CoRR abs/2209.09056 (2022) - [i12]Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini:
Global Explainability of GNNs via Logic Combination of Learned Concepts. CoRR abs/2210.07147 (2022) - [i11]Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Liò:
Extending Logic Explained Networks to Text Classification. CoRR abs/2211.09732 (2022) - 2021
- [c10]Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Eros Pasero, Giansalvo Cirrincione:
Topological Gradient-based Competitive Learning. IJCNN 2021: 1-8 - [c9]Pietro Barbiero, Giovanni Squillero, Alberto Tonda:
Predictable Features Elimination: An Unsupervised Approach to Feature Selection. LOD 2021: 399-412 - [i10]Pietro Barbiero, Gabriele Ciravegna, Dobrik Georgiev, Francesco Giannini:
LENs: a Python library for Logic Explained Networks. CoRR abs/2105.11697 (2021) - [i9]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci:
Entropy-based Logic Explanations of Neural Networks. CoRR abs/2106.06804 (2021) - [i8]Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Liò:
Algorithmic Concept-based Explainable Reasoning. CoRR abs/2107.07493 (2021) - [i7]Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Lió, Marco Maggini, Stefano Melacci:
Logic Explained Networks. CoRR abs/2108.05149 (2021) - 2020
- [j1]Giansalvo Cirrincione, Gabriele Ciravegna, Pietro Barbiero, Vincenzo Randazzo, Eros Pasero:
The GH-EXIN neural network for hierarchical clustering. Neural Networks 121: 57-73 (2020) - [c8]Pietro Barbiero, Marta Lovino, Mattia Siviero, Gabriele Ciravegna, Vincenzo Randazzo, Elisa Ficarra, Giansalvo Cirrincione:
Unsupervised Multi-omic Data Fusion: The Neural Graph Learning Network. ICIC (1) 2020: 172-182 - [c7]Jacopo Ferretti, Pietro Barbiero, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero:
Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN: the ECG Case Study. IJCNN 2020: 1-7 - [p6]Pietro Barbiero, Giansalvo Cirrincione, Maurizio Cirrincione, Elio Piccolo, Francesco Vaccarino:
Neural Epistemology in Dynamical System Learning. Neural Approaches to Dynamics of Signal Exchanges 2020: 213-221 - [p5]Gabriele Ciravegna, Giansalvo Cirrincione, Federica Marcolin, Pietro Barbiero, Nicole Dagnes, Elio Piccolo:
Assessing Discriminating Capability of Geometrical Descriptors for 3D Face Recognition by Using the GH-EXIN Neural Network. Neural Approaches to Dynamics of Signal Exchanges 2020: 223-233 - [p4]Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Elio Piccolo, Alberto Tonda:
Understanding Cancer Phenomenon at Gene Expression Level by using a Shallow Neural Network Chain. Neural Approaches to Dynamics of Signal Exchanges 2020: 281-290 - [p3]Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Elio Piccolo:
DNA Microarray Classification: Evolutionary Optimization of Neural Network Hyper-parameters. Neural Approaches to Dynamics of Signal Exchanges 2020: 305-311 - [d2]Pietro Barbiero, Pietro Liò:
pietrobarbiero/computational-patient: Absolutno. Zenodo, 2020
- [d1]Pietro Barbiero, Ramón Viñas Torné, Pietro Liò:
pietrobarbiero/digital-patient: Absolutno. Zenodo, 2020 - [i6]Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda:
Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms. CoRR abs/2002.08645 (2020) - [i5]Pietro Barbiero, Pietro Lió:
The Computational Patient has Diabetes and a COVID. CoRR abs/2006.06435 (2020) - [i4]Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda:
Modeling Generalization in Machine Learning: A Methodological and Computational Study. CoRR abs/2006.15680 (2020) - [i3]Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Giansalvo Cirrincione:
Topological Gradient-based Competitive Learning. CoRR abs/2008.09477 (2020) - [i2]Giansalvo Cirrincione, Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo:
Gradient-based Competitive Learning: Theory. CoRR abs/2009.02799 (2020) - [i1]Pietro Barbiero, Ramón Viñas Torné, Pietro Lió:
Graph representation forecasting of patient's medical conditions: towards a digital twin. CoRR abs/2009.08299 (2020)
2010 – 2019
- 2019
- [c6]Pietro Barbiero, Evelyne Lutton, Giovanni Squillero, Alberto Paolo Tonda:
A Novel Outlook on Feature Selection as a Multi-objective Problem. EA 2019: 68-81 - [c5]Pietro Barbiero, Alberto Paolo Tonda:
Fundamental Flowers: Evolutionary Discovery of Coresets for Classification. EvoApplications 2019: 550-564 - [c4]Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda:
Beyond coreset discovery: evolutionary archetypes. GECCO (Companion) 2019: 47-48 - [c3]Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda:
Evolutionary discovery of coresets for classification. GECCO (Companion) 2019: 1747-1754 - [p2]Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Eros Pasero, Elio Piccolo:
Unsupervised Gene Identification in Colorectal Cancer. Quantifying and Processing Biomedical and Behavioral Signals 2019: 219-227 - [p1]Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Eros Pasero, Elio Piccolo:
Supervised Gene Identification in Colorectal Cancer. Quantifying and Processing Biomedical and Behavioral Signals 2019: 243-251 - 2017
- [c2]Gabriele Ciravegna, Pietro Barbiero, Giansalvo Cirrincione, Giovanni Squillero, Alberto Tonda:
Discovering Hierarchical Neural Archetype Sets. IIH-MSP (1) 2017: 255-267 - [c1]Francesca Nonis, Pietro Barbiero, Giansalvo Cirrincione, Elena Carlotta Olivetti, Federica Marcolin, Enrico Vezzetti:
Understanding Abstraction in Deep CNN: An Application on Facial Emotion Recognition. IIH-MSP (1) 2017: 281-290
Coauthor Index
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