Gabriele Ciravegna

67 papers A* 9A 2B 2C 2Journal 32Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Mixture of Concept Bottleneck Experts.
CoRR
Francesco De Santis, Gabriele Ciravegna, Giovanni de Felice, Arianna Casanova, Francesco Giannini, Michelangelo Diligenti, Mateo Espinosa Zarlenga, Pietro Barbiero, Johannes Schneider, Danilo Giordano
2025 J jnl
A Concept-based approach to Voice Disorder Detection.
CoRR
Davide Ghia, Gabriele Ciravegna, Alkis Koudounas, Marco Fantini, Erika Crosetti, Giovanni Succo, Tania Cerquitelli
2025 — conf
Beyond Input Attribution: A Hands-On Tutorial to Concept-Based Explainable AI and Mechanistic Interpretability.
KDD (2)
Eliana Pastor, Eleonora Poeta, André Panisson, Alan Perotti, Gabriele Ciravegna
2025 J jnl
Linearly-interpretable concept embedding models for text analysis.
Mach. Learn.
Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Danilo Giordano, Tania Cerquitelli
2025 A conf
MVP: Multi-source Voice Pathology detection.
INTERSPEECH
Alkis Koudounas, Moreno La Quatra, Gabriele Ciravegna, Marco Fantini, Erika Crosetti, Giovanni Succo, Tania Cerquitelli, Sabato Marco Siniscalchi, Elena Baralis
2025 J jnl
MVP: Multi-source Voice Pathology detection.
CoRR
Alkis Koudounas, Moreno La Quatra, Gabriele Ciravegna, Marco Fantini, Erika Crosetti, Giovanni Succo, Tania Cerquitelli, Sabato Marco Siniscalchi, Elena Baralis
2025 — conf
Multimodal Fusion Techniques to Enhance Voice Disorder Diagnoses.
EDBT/ICDT Workshops
Qingqing Liu, Gabriele Ciravegna, Alkis Koudounas, Tania Cerquitelli, Elena Baralis
2025 J jnl
Neural Interpretable Reasoning.
CoRR
Pietro Barbiero, Giuseppe Marra, Gabriele Ciravegna, David Debot, Francesco De Santis, Michelangelo Diligenti, Mateo Espinosa Zarlenga, Francesco Giannini
2025 — conf
Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models.
ECML/PKDD (3)
Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Tania Cerquitelli, Danilo Giordano
2025 J jnl
Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models.
CoRR
Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Danilo Giordano, Tania Cerquitelli
2025 — conf
V-CEM: Bridging Performance and Intervenability in Concept-Based Models.
xAI (1)
Francesco De Santis, Gabriele Ciravegna, Philippe Bich, Danilo Giordano, Tania Cerquitelli
2025 J jnl
V-CEM: Bridging Performance and Intervenability in Concept-based Models.
CoRR
Francesco De Santis, Gabriele Ciravegna, Philippe Bich, Danilo Giordano, Tania Cerquitelli
2024 J jnl
A new perspective on optimizers: leveraging moreau-yosida approximation in gradient-based learning.
Intelligenza Artificiale
Alessandro Betti, Gabriele Ciravegna, Marco Gori, Stefano Melacci, Kevin Mottin, Frédéric Precioso
2024 J jnl
Gradient-Based Competitive Learning: Theory.
Cogn. Comput.
Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna, Eros Pasero
2024 J jnl
Graph Neural Networks for Graph Drawing.
IEEE Trans. Neural Networks Learn. Syst.
Matteo Tiezzi, Gabriele Ciravegna, Marco Gori
2024 A* conf
Interpretable Concept-Based Memory Reasoning.
NeurIPS
David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
2024 J jnl
Interpretable Concept-Based Memory Reasoning.
CoRR
David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
2024 — conf
Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection.
EDBT/ICDT Workshops
Gabriele Ciravegna, Alkis Koudounas, Marco Fantini, Tania Cerquitelli, Elena Baralis, Erika Crosetti, Giovanni Succo
2024 — ed.
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.
HI-AI@KDD
Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Francesco Giannini, Damien Garreau, Mateja Jamnik, Tania Cerquitelli
2024 A* conf
Relational Concept Bottleneck Models.
NeurIPS
Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
2024 J jnl
Self-supervised Interpretable Concept-based Models for Text Classification.
CoRR
Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Danilo Giordano, Tania Cerquitelli
2024 A conf
Voice Disorder Analysis: a Transformer-based Approach.
INTERSPEECH
Alkis Koudounas, Gabriele Ciravegna, Marco Fantini, Erika Crosetti, Giovanni Succo, Tania Cerquitelli, Elena Baralis
2024 J jnl
Voice Disorder Analysis: a Transformer-based Approach.
CoRR
Alkis Koudounas, Gabriele Ciravegna, Marco Fantini, Giovanni Succo, Erika Crosetti, Tania Cerquitelli, Elena Baralis
2024 A* conf
Workshop on Human-Interpretable AI.
KDD
Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Francesco Giannini, Zohreh Shams, Damien Garreau, Mateja Jamnik, Tania Cerquitelli
2023 — conf
Concept Distillation in Graph Neural Networks.
xAI (3)
Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò
2023 J jnl
Concept-based Explainable Artificial Intelligence: A Survey.
CoRR
Eleonora Poeta, Gabriele Ciravegna, Eliana Pastor, Tania Cerquitelli, Elena Baralis
2023 A* conf
Interpretable Neural-Symbolic Concept Reasoning.
ICML
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
2023 C conf
Interpretable Neural-Symbolic Concept Reasoning.
NeSy
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Liò, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
2023 J jnl
Interpretable Neural-Symbolic Concept Reasoning.
CoRR
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio', Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
2023 — conf
Knowledge-Driven Active Learning.
ECML/PKDD (1)
Gabriele Ciravegna, Frédéric Precioso, Alessandro Betti, Kevin Mottin, Marco Gori
2023 — ch.
Learning Logic Explanations by Neural Networks.
Compendium of Neurosymbolic Artificial Intelligence
Gabriele Ciravegna, Francesco Giannini, Pietro Barbiero, Marco Gori, Pietro Lio, Marco Maggini, Stefano Melacci
2023 C conf
Logic Explained Networks.
NeSy
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci
2023 J jnl
Logic Explained Networks.
Artif. Intell.
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci
2023 J jnl
Relational Concept Based Models.
CoRR
Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
2023 — conf
Shall We Stop Using End-to-End Learning? A Short-Survey of Recent Concept-Based Approaches.
WIRN
Gabriele Ciravegna
2023 — conf
Toward Novel Optimizers: A Moreau-Yosida View of Gradient-Based Learning.
AI*IA
Alessandro Betti, Gabriele Ciravegna, Marco Gori, Stefano Melacci, Kevin Mottin, Frédéric Precioso
2022 J jnl
A survey on data integration for multi-omics sample clustering.
Neurocomputing
Marta Lovino, Vincenzo Randazzo, Gabriele Ciravegna, Pietro Barbiero, Elisa Ficarra, Giansalvo Cirrincione
2022 J jnl
Concept Embedding Models.
CoRR
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
2022 A* conf
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off.
NeurIPS
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
2022 J jnl
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell.
Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli
2022 J jnl
Encoding Concepts in Graph Neural Networks.
CoRR
Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik
2022 J jnl
Encryption-agnostic classifiers of traffic originators and their application to anomaly detection.
Comput. Electr. Eng.
Daniele Canavese, Leonardo Regano, Cataldo Basile, Gabriele Ciravegna, Antonio Lioy
2022 A* conf
Entropy-Based Logic Explanations of Neural Networks.
AAAI
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci
2022 A* conf
Extending Logic Explained Networks to Text Classification.
EMNLP
Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Liò
2022 J jnl
Extending Logic Explained Networks to Text Classification.
CoRR
Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Liò
2022 — conf
Minimizing Cross Intersections in Graph Drawing via Linear Splines.
ANNPR
Rida Ghafoor Hussain, Matteo Tiezzi, Gabriele Ciravegna, Marco Gori
2022 — —
On the Two-fold Role of Logic Constraints in Deep Learning.
Gabriele Ciravegna
2021 J jnl
Entropy-based Logic Explanations of Neural Networks.
CoRR
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci
2021 J jnl
Graph Neural Networks for Graph Drawing.
CoRR
Matteo Tiezzi, Gabriele Ciravegna, Marco Gori
2021 J jnl
Knowledge-driven Active Learning.
CoRR
Gabriele Ciravegna, Frédéric Precioso, Marco Gori
2021 J jnl
LENs: a Python library for Logic Explained Networks.
CoRR
Pietro Barbiero, Gabriele Ciravegna, Dobrik Georgiev, Francesco Giannini
2021 J jnl
Logic Explained Networks.
CoRR
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Lió, Marco Maggini, Stefano Melacci
2021 B conf
Topological Gradient-based Competitive Learning.
IJCNN
Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Eros Pasero, Giansalvo Cirrincione
2020 A* conf
A Constraint-Based Approach to Learning and Explanation.
AAAI
Gabriele Ciravegna, Francesco Giannini, Stefano Melacci, Marco Maggini, Marco Gori
2020 — ch.
Assessing Discriminating Capability of Geometrical Descriptors for 3D Face Recognition by Using the GH-EXIN Neural Network.
Neural Approaches to Dynamics of Signal Exchanges
Gabriele Ciravegna, Giansalvo Cirrincione, Federica Marcolin, Pietro Barbiero, Nicole Dagnes, Elio Piccolo
2020 J jnl
Can Domain Knowledge Alleviate Adversarial Attacks in Multi-Label Classifiers?
CoRR
Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli
2020 — ch.
DNA Microarray Classification: Evolutionary Optimization of Neural Network Hyper-parameters.
Neural Approaches to Dynamics of Signal Exchanges
Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Elio Piccolo
2020 J jnl
Gradient-based Competitive Learning: Theory.
CoRR
Giansalvo Cirrincione, Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo
2020 A* conf
Human-Driven FOL Explanations of Deep Learning.
IJCAI
Gabriele Ciravegna, Francesco Giannini, Marco Gori, Marco Maggini, Stefano Melacci
2020 J jnl
The GH-EXIN neural network for hierarchical clustering.
Neural Networks
Giansalvo Cirrincione, Gabriele Ciravegna, Pietro Barbiero, Vincenzo Randazzo, Eros Pasero
2020 J jnl
Topological Gradient-based Competitive Learning.
CoRR
Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Giansalvo Cirrincione
2020 — ch.
Understanding Cancer Phenomenon at Gene Expression Level by using a Shallow Neural Network Chain.
Neural Approaches to Dynamics of Signal Exchanges
Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Elio Piccolo, Alberto Tonda
2020 — conf
Unsupervised Multi-omic Data Fusion: The Neural Graph Learning Network.
ICIC (1)
Pietro Barbiero, Marta Lovino, Mattia Siviero, Gabriele Ciravegna, Vincenzo Randazzo, Elisa Ficarra, Giansalvo Cirrincione
2019 — ch.
Supervised Gene Identification in Colorectal Cancer.
Quantifying and Processing Biomedical and Behavioral Signals
Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Eros Pasero, Elio Piccolo
2019 — ch.
Unsupervised Gene Identification in Colorectal Cancer.
Quantifying and Processing Biomedical and Behavioral Signals
Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Eros Pasero, Elio Piccolo
2018 B conf
Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network.
IJCNN
Vincenzo Randazzo, Giansalvo Cirrincione, Gabriele Ciravegna, Eros Pasero
2017 — conf
Discovering Hierarchical Neural Archetype Sets.
IIH-MSP (1)
Gabriele Ciravegna, Pietro Barbiero, Giansalvo Cirrincione, Giovanni Squillero, Alberto Tonda