CIRAVEGNA, GABRIELE
"DNA microarray classification: a shallow neural network model"
In corso di stampa Barbiero, P.; Bertotti, A.; Ciravegna, G.; Cirrincione, G.; Piccolo, E.
A Concept-based approach to Voice Disorder Detection
In corso di stampa Ghia, Davide; Ciravegna, Gabriele; Koudounas, Alkis; Fantini, Marco; Crosetti, Erika; Succo, Giovanni; Cerquitelli, Tania
‘DNA microarray classification: evolutionary optimization of neural network hyperparameters"
In corso di stampa Barbiero, P.; Bertotti, A.; Ciravegna, G.; Cirrincione, G.; Piccolo, E.
Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models
2026 De Santis, Francesco; Bich, Philippe; Ciravegna, Gabriele; Barbiero, Pietro; Cerquitelli &, Tania; Giordano, Danilo
V-CEM: Bridging Performance and Intervenability in Concept-Based Models
2026 De Santis, Francesco; Ciravegna, Gabriele; Bich, Philippe; Giordano, Danilo; Cerquitelli, Tania
Beyond Input Attribution: A Hands-On Tutorial to Concept-Based Explainable AI and Mechanistic Interpretability
2025 Pastor, Eliana; Poeta, Eleonora; Panisson, André; Perotti, Alan; Ciravegna, Gabriele
Multimodal Fusion Techniques to Enhance Voice Disorder Diagnoses
2025 Liu, Qingqing; Ciravegna, Gabriele; Koudounas, Alkis; Cerquitelli, Tania; Baralis, Elena
Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection - Vision paper
2024 Ciravegna, Gabriele; Koudounas, Alkis; Fantini, Marco; Cerquitelli, Tania; Baralis, Elena; Crosetti, Erika; Succo, Giovanni
Voice Disorder Analysis: a Transformer-based Approach
2024 Koudounas, Alkis; Ciravegna, Gabriele; Fantini, Marco; Crosetti, Erika; Succo, Giovanni; Cerquitelli, Tania; Baralis, Elena
Workshop on Human-Interpretable AI
2024 Ciravegna, Gabriele; Espinosa Zarlenga, Mateo; Barbiero, Pietro; Giannini, Francesco; Shams, Zohreh; Garreau, Damien; Jamnik, Mateja; Cerquitelli, Tania
Concept Distillation in Graph Neural Networks
2023 Magister, L. C.; Barbiero, P.; Kazhdan, D.; Siciliano, F.; Ciravegna, G.; Silvestri, F.; Jamnik, M.; Lio, P.
Interpretable Neural-Symbolic Concept Reasoning
2023 Barbiero, Pietro; Ciravegna, Gabriele; Giannini, Francesco; Espinosa Zarlenga, Mateo; Charlotte Magister, Lucie; Tonda, Alberto; Lio, Pietro; Precioso, Frederic; Jamnik, Mateja; Marra, Giuseppe
Knowledge-Driven Active Learning
2023 Ciravegna, Gabriele; Precioso, Frédéric; Betti, Alessandro; Mottin, Kevin; Gori, Marco
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
2022 Zarlenga, M. E.; Barbiero, P.; Ciravegna, G.; Marra, G.; Giannini, F.; Diligenti, M.; Shams, Z.; Precioso, F.; Melacci, S.; Weller, A.; Lio, P.; Jamnik, M.
Entropy-Based Logic Explanations of Neural Networks
2022 Barbiero, Pietro; Ciravegna, Gabriele; Giannini, Francesco; Li('(o)), Pietro; Gori, Marco; Melacci, Stefano
Extending Logic Explained Networks to Text Classification
2022 Jain, Rishabh; Ciravegna, Gabriele; Barbiero, Pietro; Giannini, Francesco; Buffelli, Davide; Lio, Pietro
Topological Gradient-based Competitive Learning
2021 Barbiero, Pietro; Ciravegna, Gabriele; Randazzo, Vincenzo; Pasero, Eros; Cirrincione, Giansalvo
A constraint-based approach to learning and explanation
2020 Ciravegna, G.; Giannini, F.; Melacci, S.; Maggini, M.; Gori, M.
A transcriptional study of oncogenes and tumor suppressors altered by copy number variations in ovarian cancer
2020 Giacomini, G.; Ciravegna, G.; Pellegrini, M.; D'Aurizio, R.; Bianchini, M.
Assessing Discriminating Capability of Geometrical Descriptors for 3D Face Recognition by Using the GH-EXIN Neural Network
2020 Ciravegna, G.; Cirrincione, G.; Marcolin, F.; Barbiero, P.; Dagnes, N.; Piccolo, E.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| "DNA microarray classification: a shallow neural network model" / Barbiero, P.; Bertotti, A.; Ciravegna, G.; Cirrincione, G.; Piccolo, E.. - Quantifying and Processing Biomedical and Behavioral Signals:(In corso di stampa). ( WIRN - Italian Workshop on Neural Networks Vietri sul Mare 13-15 giugno 2018). | In corso di stampa | Ciravegna G.Cirrincione G.Piccolo E. + | - |
| A Concept-based approach to Voice Disorder Detection / Ghia, Davide; Ciravegna, Gabriele; Koudounas, Alkis; Fantini, Marco; Crosetti, Erika; Succo, Giovanni; Cerquitelli, Tania. - (In corso di stampa). (Intervento presentato al convegno European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2025 - Workshop & Tutorial Track tenutosi a Porto (PRT) nel September 15-19, 2025). | In corso di stampa | Davide GhiaGabriele CiravegnaAlkis KoudounasTania Cerquitelli + | - |
| ‘DNA microarray classification: evolutionary optimization of neural network hyperparameters" / Barbiero, P.; Bertotti, A.; Ciravegna, G.; Cirrincione, G.; Piccolo, E.. - (In corso di stampa). ( WIRN 2018 - Italian Workshop on Neural Networks Vietri sul Mare 13-15 giugno 2018). | In corso di stampa | Ciravegna G.Cirrincione G.Piccolo E. + | - |
| Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models / De Santis, Francesco; Bich, Philippe; Ciravegna, Gabriele; Barbiero, Pietro; Cerquitelli &, Tania; Giordano, Danilo. - 16015:(2026), pp. 478-494. ( European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) Porto (PRT) September 15–19, 2025) [10.1007/978-3-032-06066-2_28]. | 1-gen-2026 | Francesco De SantisPhilippe BichGabriele CiravegnaDanilo Giordano + | 978-3-032-06066-2_28.pdf; _ECML25__Learnable_Concept_Based_Model.pdf |
| V-CEM: Bridging Performance and Intervenability in Concept-Based Models / De Santis, Francesco; Ciravegna, Gabriele; Bich, Philippe; Giordano, Danilo; Cerquitelli, Tania. - 2576:(2026), pp. 48-67. ( 3rd World Conference on Explainable Artificial Intelligence, xAI 2025 Istanbul (TUR) July 9–11, 2025) [10.1007/978-3-032-08317-3_3]. | 1-gen-2026 | Francesco De SantisGabriele CiravegnaPhilippe BichDanilo GiordanoTania Cerquitelli | 978-3-032-08317-3_3.pdf |
| Beyond Input Attribution: A Hands-On Tutorial to Concept-Based Explainable AI and Mechanistic Interpretability / Pastor, Eliana; Poeta, Eleonora; Panisson, André; Perotti, Alan; Ciravegna, Gabriele. - 2:(2025), pp. 6247-6248. ( 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining Toronto ON (CAN) August 3 - 7, 2025) [10.1145/3711896.3737606]. | 1-gen-2025 | Eliana PastorEleonora PoetaAlan PerottiGabriele Ciravegna + | KDD_2025___Hands_on.pdf; 3711896.3737606.pdf |
| Multimodal Fusion Techniques to Enhance Voice Disorder Diagnoses / Liu, Qingqing; Ciravegna, Gabriele; Koudounas, Alkis; Cerquitelli, Tania; Baralis, Elena. - 3946:(2025). ( Workshops of the EDBT/ICDT 2025 Joint Conference, DARLI-AP Workshop Barcelona (ESP) 25-28 March, 2025). | 1-gen-2025 | Gabriele CiravegnaAlkis KoudounasTania CerquitelliElena Baralis + | DARLI-AP-10.pdf |
| Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection - Vision paper / Ciravegna, Gabriele; Koudounas, Alkis; Fantini, Marco; Cerquitelli, Tania; Baralis, Elena; Crosetti, Erika; Succo, Giovanni. - 3651:(2024). ( Workshops of the EDBT/ICDT 2024 Joint Conference Paestum (IT) 25-28 March, 2024). | 1-gen-2024 | Ciravegna, GabrieleKoudounas ,AlkisCerquitelli, TaniaBaralis, Elena + | HeDAI-3.pdf |
| Voice Disorder Analysis: a Transformer-based Approach / Koudounas, Alkis; Ciravegna, Gabriele; Fantini, Marco; Crosetti, Erika; Succo, Giovanni; Cerquitelli, Tania; Baralis, Elena. - (2024), pp. 3040-3044. ( Interspeech 2024 Kos (GR) 1-5 September, 2024) [10.21437/interspeech.2024-1122]. | 1-gen-2024 | Koudounas, AlkisCiravegna, GabrieleCerquitelli, TaniaBaralis, Elena + | koudounas24_interspeech.pdf |
| Workshop on Human-Interpretable AI / Ciravegna, Gabriele; Espinosa Zarlenga, Mateo; Barbiero, Pietro; Giannini, Francesco; Shams, Zohreh; Garreau, Damien; Jamnik, Mateja; Cerquitelli, Tania. - (2024), pp. 6708-6709. ( 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Barcelona (ESP) August 25 - 29, 2024) [10.1145/3637528.3671499]. | 1-gen-2024 | Gabriele CiravegnaTania Cerquitelli + | 3637528.3671499.pdf |
| Concept Distillation in Graph Neural Networks / Magister, L. C.; Barbiero, P.; Kazhdan, D.; Siciliano, F.; Ciravegna, G.; Silvestri, F.; Jamnik, M.; Lio, P.. - 1903:(2023), pp. 233-255. ( 1st World Conference on eXplainable Artificial Intelligence, xAI 2023 Lisbon (PRT) July 26–28, 2023) [10.1007/978-3-031-44070-0_12]. | 1-gen-2023 | Ciravegna G. + | 978-3-031-44070-0_12.pdf |
| Interpretable Neural-Symbolic Concept Reasoning / Barbiero, Pietro; Ciravegna, Gabriele; Giannini, Francesco; Espinosa Zarlenga, Mateo; Charlotte Magister, Lucie; Tonda, Alberto; Lio, Pietro; Precioso, Frederic; Jamnik, Mateja; Marra, Giuseppe. - 202:(2023), pp. 1801-1825. ( ICML International Conference on Machine Learning 2023 Honolulu, Hawaii (USA) 23-29 July 2023). | 1-gen-2023 | Gabriele CiravegnaAlberto TondaGiuseppe Marra + | barbiero23a.pdf |
| Knowledge-Driven Active Learning / Ciravegna, Gabriele; Precioso, Frédéric; Betti, Alessandro; Mottin, Kevin; Gori, Marco. - 14169:(2023), pp. 38-54. ( European Conference, ECML PKDD 2023 Turin (ITA) September 18–22, 2023) [10.1007/978-3-031-43412-9_3]. | 1-gen-2023 | Gabriele CiravegnaMarco Gori + | KAL.pdf; 978-3-031-43412-9_3.pdf |
| Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off / Zarlenga, M. E.; Barbiero, P.; Ciravegna, G.; Marra, G.; Giannini, F.; Diligenti, M.; Shams, Z.; Precioso, F.; Melacci, S.; Weller, A.; Lio, P.; Jamnik, M.. - 35:(2022). ( 36th Conference on Neural Information Processing Systems, NeurIPS 2022 New Orleans (USA) November 28th- December 9th, 2022). | 1-gen-2022 | Ciravegna G. + | NeurIPS-2022-concept-embedding-models-beyond-the-accuracy-explainability-trade-off-Paper-Conference (1).pdf |
| Entropy-Based Logic Explanations of Neural Networks / Barbiero, Pietro; Ciravegna, Gabriele; Giannini, Francesco; Li('(o)), Pietro; Gori, Marco; Melacci, Stefano. - 36:(2022), pp. 6046-6054. ( 36th AAAI Conference on Artificial Intelligence Held virtually February 22–March 1, 2022) [10.1609/aaai.v36i6.20551]. | 1-gen-2022 | Gabriele CiravegnaMarco Gori + | 20551-Article Text-24564-1-2-20220628.pdf |
| Extending Logic Explained Networks to Text Classification / Jain, Rishabh; Ciravegna, Gabriele; Barbiero, Pietro; Giannini, Francesco; Buffelli, Davide; Lio, Pietro. - ELETTRONICO. - (2022), pp. 8838-8857. ( 2022 Conference on Empirical Methods in Natural Language Processing Abu Dhabi (United Arab Emirates) 7 December 2022 -11 December 2022). | 1-gen-2022 | Ciravegna, Gabriele + | 2022.emnlp-main.604.pdf |
| Topological Gradient-based Competitive Learning / Barbiero, Pietro; Ciravegna, Gabriele; Randazzo, Vincenzo; Pasero, Eros; Cirrincione, Giansalvo. - ELETTRONICO. - (2021), pp. 1-8. ( 2021 International Joint Conference on Neural Networks, IJCNN 2021 Shenzhen, China 18-22 July 2021) [10.1109/IJCNN52387.2021.9533411]. | 1-gen-2021 | Ciravegna GabrieleRandazzo VincenzoPasero ErosCirrincione Giansalvo + | Topological_Gradient-based_Competitive_Learning.pdf; N-0454.pdf |
| A constraint-based approach to learning and explanation / Ciravegna, G.; Giannini, F.; Melacci, S.; Maggini, M.; Gori, M.. - 34:(2020), pp. 3658-3665. ( 34th AAAI Conference on Artificial Intelligence, AAAI 2020 New York (USA) February 7–12, 2020) [10.1609/aaai.v34i04.5774]. | 1-gen-2020 | Ciravegna G.Gori M. + | 5774-Article Text-8999-1-10-20200513.pdf |
| A transcriptional study of oncogenes and tumor suppressors altered by copy number variations in ovarian cancer / Giacomini, G.; Ciravegna, G.; Pellegrini, M.; D'Aurizio, R.; Bianchini, M.. - 192:(2020), pp. 159-169. ( 8th KES International Conference on Innovation in Medicine and Healthcare, KES-InMed 2020 Virtual Conference June 17–19, 2020) [10.1007/978-981-15-5852-8_15]. | 1-gen-2020 | Ciravegna G. + | - |
| Assessing Discriminating Capability of Geometrical Descriptors for 3D Face Recognition by Using the GH-EXIN Neural Network / Ciravegna, G.; Cirrincione, G.; Marcolin, F.; Barbiero, P.; Dagnes, N.; Piccolo, E.. - 151:(2020), pp. 223-233. ( The Italian Workshop on Neural Networks WIRN 2018) [10.1007/978-981-13-8950-4_21]. | 1-gen-2020 | Ciravegna G.Cirrincione G.Marcolin F.Dagnes N.Piccolo E. + | 978-981-13-8950-4_compressed.pdf; Assessing Discriminating Capability of Geometrical Descriptors for 3D Face Recognition by Using the GH-EXIN Neural Network.pdf |