Gabriele Ciravegna

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 42

Top Topics

Mutual Information Maximization

Competitive Learning

Top Venues

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)
Alkis Koudounas, Gabriele Ciravegna, Marco Fantini, Giovanni Succo, Erika Crosetti, Tania Cerquitelli, Elena Baralis
Voice Disorder Analysis: a Transformer-based Approach. CoRR (2024)
Matteo Tiezzi, Gabriele Ciravegna, Marco Gori
Graph Neural Networks for Graph Drawing. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
Interpretable Concept-Based Memory Reasoning. CoRR (2024)
Gabriele Ciravegna, Alkis Koudounas, Marco Fantini, Tania Cerquitelli, Elena Baralis, Erika Crosetti, Giovanni Succo
Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection. EDBT/ICDT Workshops (2024)
Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna, Eros Pasero
Gradient-Based Competitive Learning: Theory. Cogn. Comput. 16 (2) (2024)
Eleonora Poeta, Gabriele Ciravegna, Eliana Pastor, Tania Cerquitelli, Elena Baralis
Concept-based Explainable Artificial Intelligence: A Survey. 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)
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)
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci
Logic Explained Networks. Artif. Intell. 314 (2023)
Gabriele Ciravegna, Frédéric Precioso, Alessandro Betti, Kevin Mottin, Marco Gori
Knowledge-Driven Active Learning. ECML/PKDD (1) (2023)
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci
Logic Explained Networks. NeSy (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)
Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
Relational Concept Based Models. CoRR (2023)
Alessandro Betti, Gabriele Ciravegna, Marco Gori, Stefano Melacci, Kevin Mottin, Frédéric Precioso
Toward Novel Optimizers: A Moreau-Yosida View of Gradient-Based Learning. AI*IA (2023)
Rida Ghafoor Hussain, Matteo Tiezzi, Gabriele Ciravegna, Marco Gori
Minimizing Cross Intersections in Graph Drawing via Linear Splines. ANNPR (2022)
Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (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)
Daniele Canavese, Leonardo Regano, Cataldo Basile, Gabriele Ciravegna, Antonio Lioy
Encryption-agnostic classifiers of traffic originators and their application to anomaly detection. Comput. Electr. Eng. 97 (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)
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)
Gabriele Ciravegna, Frédéric Precioso, Marco Gori
Knowledge-driven Active Learning. CoRR (2021)
Matteo Tiezzi, Gabriele Ciravegna, Marco Gori
Graph Neural Networks for Graph Drawing. CoRR (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)
Gabriele Ciravegna, Francesco Giannini, Marco Gori, Marco Maggini, Stefano Melacci
Human-Driven FOL Explanations of Deep Learning. IJCAI (2020)
Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli
Can Domain Knowledge Alleviate Adversarial Attacks in Multi-Label Classifiers? CoRR (2020)
Gabriele Ciravegna, Francesco Giannini, Stefano Melacci, Marco Maggini, Marco Gori
A Constraint-Based Approach to Learning and Explanation. AAAI (2020)
Vincenzo Randazzo, Giansalvo Cirrincione, Gabriele Ciravegna, Eros Pasero
Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network. IJCNN (2018)
Gabriele Ciravegna, Pietro Barbiero, Giansalvo Cirrincione, Giovanni Squillero, Alberto Tonda
Discovering Hierarchical Neural Archetype Sets. IIH-MSP (1) (2017)