Gabriele Ciravegna
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
9
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EDBT | Multimodal Fusion Techniques to Enhance Voice Disorder Diagnoses. | Qingqing Liu, Gabriele Ciravegna, Alkis Koudounas, Tania Cerquitelli, Elena Baralis |
| 2025 | Interspeech | MVP: Multi-source Voice Pathology detection. | Alkis Koudounas, Moreno La Quatra, Gabriele Ciravegna, Marco Fantini, Erika Crosetti, Giovanni Succo, Tania Cerquitelli, Sabato Marco Siniscalchi, Elena Baralis |
| 2025 | KDD | Beyond Input Attribution: A Hands-On Tutorial to Concept-Based Explainable AI and Mechanistic Interpretability. | Eliana Pastor, Eleonora Poeta, Andr Panisson, Alan Perotti, Gabriele Ciravegna |
| 2024 | EDBT | Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection. | Gabriele Ciravegna, Alkis Koudounas, Marco Fantini, Tania Cerquitelli, Elena Baralis, Erika Crosetti, Giovanni Succo |
| 2024 | Interspeech | Voice Disorder Analysis: a Transformer-based Approach. | Alkis Koudounas, Gabriele Ciravegna, Marco Fantini, Erika Crosetti, Giovanni Succo, Tania Cerquitelli, Elena Baralis |
| 2024 | KDD | Workshop on Human-Interpretable AI. | Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Francesco Giannini, Zohreh Shams, Damien Garreau, Mateja Jamnik, Tania Cerquitelli |
| 2023 | ICML | Interpretable Neural-Symbolic Concept Reasoning. | Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frdric Precioso, Mateja Jamnik, Giuseppe Marra |
| 2023 | NeSy | Interpretable Neural-Symbolic Concept Reasoning. | Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Li, Frdric Precioso, Mateja Jamnik, Giuseppe Marra |
| 2023 | NeSy | Logic Explained Networks. | Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Li, Marco Maggini, Stefano Melacci |
| 2022 | AAAI | Entropy-Based Logic Explanations of Neural Networks. | Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Li, Marco Gori, Stefano Melacci |
| 2022 | EMNLP | Extending Logic Explained Networks to Text Classification. | Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Li |
| 2021 | IJCNN | Topological Gradient-based Competitive Learning. | Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Eros Pasero, Giansalvo Cirrincione |
| 2020 | AAAI | A Constraint-Based Approach to Learning and Explanation. | Gabriele Ciravegna, Francesco Giannini, Stefano Melacci, Marco Maggini, Marco Gori |
| 2020 | IJCAI | Human-Driven FOL Explanations of Deep Learning. | Gabriele Ciravegna, Francesco Giannini, Marco Gori, Marco Maggini, Stefano Melacci |
| 2018 | IJCNN | Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network. | Vincenzo Randazzo, Giansalvo Cirrincione, Gabriele Ciravegna, Eros Pasero |