Pietro Barbiero

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 60

Top Topics

Text Classification

Graph Representation

Top Venues

GECCO (Companion)

Publications

Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Francesco Giannini, Zohreh Shams, Damien Garreau, Mateja Jamnik, Tania Cerquitelli
Workshop on Human-Interpretable AI. KDD (2024)
Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Danilo Giordano, Tania Cerquitelli
Self-supervised Interpretable Concept-based Models for Text Classification. CoRR (2024)
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 (2024)
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 (2024)
David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
Interpretable Concept-Based Memory Reasoning. CoRR (2024)
Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. CoRR (2024)
Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models. CoRR (2024)
Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna, Eros Pasero
Gradient-Based Competitive Learning: Theory. Cogn. Comput. 16 (2) (2024)
Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro Barbiero, Mateja Jamnik, Pietro Liò
GCI: A (G)raph (C)oncept (I)nterpretation Framework. CoRR (2023)
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 (2023)
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 (2023)
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)
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)
Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lio, Pietro Barbiero
Interpretable Graph Networks Formulate Universal Algebra Conjectures. CoRR (2023)
Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Liò
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. AAAI (2023)
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci
Logic Explained Networks. Artif. Intell. 314 (2023)
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)
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)
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci
Logic Explained Networks. NeSy (2023)
Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski
SHARCS: Shared Concept Space for Explainable Multimodal Learning. CoRR (2023)
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)
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)
Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik
Towards Robust Metrics for Concept Representation Evaluation. CoRR (2023)
Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik
Towards Robust Metrics for Concept Representation Evaluation. AAAI (2023)
Alessandro Farace di Villaforesta, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò
Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians. CoRR (2023)
Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà
From Charts to Atlas: Merging Latent Spaces into One. CoRR (2023)
Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò, Nikola Simidjievski
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts. CoRR (2023)
Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
Relational Concept Based Models. CoRR (2023)
Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini
Global Explainability of GNNs via Logic Combination of Learned Concepts. ICLR (2023)
Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió
Algorithmic Concept-Based Explainable Reasoning. AAAI (2022)
Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Liò
Extending Logic Explained Networks to Text Classification. EMNLP (2022)
Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Liò
Extending Logic Explained Networks to Text Classification. CoRR (2022)
Marta Lovino, Vincenzo Randazzo, Gabriele Ciravegna, Pietro Barbiero, Elisa Ficarra, Giansalvo Cirrincione
A survey on data integration for multi-omics sample clustering. Neurocomputing 488 (2022)
Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Lió
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. CoRR (2022)
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 (2022)
Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik
Encoding Concepts in Graph Neural Networks. CoRR (2022)
Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini
Global Explainability of GNNs via Logic Combination of Learned Concepts. CoRR (2022)
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)
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci
Entropy-Based Logic Explanations of Neural Networks. AAAI (2022)
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Lió, Marco Maggini, Stefano Melacci
Logic Explained Networks. CoRR (2021)
Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Liò
Algorithmic Concept-based Explainable Reasoning. CoRR (2021)
Pietro Barbiero, Giovanni Squillero, Alberto Tonda
Predictable Features Elimination: An Unsupervised Approach to Feature Selection. LOD (2021)
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci
Entropy-based Logic Explanations of Neural Networks. CoRR (2021)
Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Eros Pasero, Giansalvo Cirrincione
Topological Gradient-based Competitive Learning. IJCNN (2021)
Pietro Barbiero, Gabriele Ciravegna, Dobrik Georgiev, Francesco Giannini
LENs: a Python library for Logic Explained Networks. CoRR (2021)
Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Giansalvo Cirrincione
Topological Gradient-based Competitive Learning. CoRR (2020)
Giansalvo Cirrincione, Gabriele Ciravegna, Pietro Barbiero, Vincenzo Randazzo, Eros Pasero
The GH-EXIN neural network for hierarchical clustering. Neural Networks 121 (2020)
Giansalvo Cirrincione, Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo
Gradient-based Competitive Learning: Theory. CoRR (2020)
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)
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)
Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda
Modeling Generalization in Machine Learning: A Methodological and Computational Study. CoRR (2020)
Pietro Barbiero, Ramón Viñas Torné, Pietro Lió
Graph representation forecasting of patient's medical conditions: towards a digital twin. CoRR (2020)
Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda
Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms. CoRR (2020)
Pietro Barbiero, Pietro Lió
The Computational Patient has Diabetes and a COVID. CoRR (2020)
Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda
Evolutionary discovery of coresets for classification. GECCO (Companion) (2019)
Pietro Barbiero, Alberto Paolo Tonda
Fundamental Flowers: Evolutionary Discovery of Coresets for Classification. EvoApplications (2019)
Pietro Barbiero, Evelyne Lutton, Giovanni Squillero, Alberto Paolo Tonda
A Novel Outlook on Feature Selection as a Multi-objective Problem. EA (2019)
Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda
Beyond coreset discovery: evolutionary archetypes. GECCO (Companion) (2019)
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)
Gabriele Ciravegna, Pietro Barbiero, Giansalvo Cirrincione, Giovanni Squillero, Alberto Tonda
Discovering Hierarchical Neural Archetype Sets. IIH-MSP (1) (2017)