Archivio Istituzionale della RicercaCIRAVEGNA, 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
Concept-based Explainable Artificial Intelligence: A Survey
2025 Poeta, Eleonora; Ciravegna, Gabriele; Pastor, Eliana; Cerquitelli, Tania; Baralis, Elena
Linearly-interpretable concept embedding models for text analysis
2025 De Santis, Francesco; Bich, Philippe; Ciravegna, Gabriele; Barbiero, Pietro; Giordano, Danilo; Cerquitelli, Tania
Multimodal Fusion Techniques to Enhance Voice Disorder Diagnoses
2025 Liu, Qingqing; Ciravegna, Gabriele; Koudounas, Alkis; Cerquitelli, Tania; Baralis, Elena
A new perspective on optimizers: leveraging moreau-yosida approximation in gradient-based learning
2024 Betti, Alessandro; Ciravegna, Gabriele; Gori, Marco; Melacci, Stefano; Mottin, Kevin; Precioso, Frédéric
Fault Prediction in Resistance Spot Welding: A Comparison of Machine Learning Approaches
2024 Ciravegna, G.; Galante, F.; Giordano, D.; Cerquitelli, T.; Mellia, M.
Gradient-Based Competitive Learning: Theory
2024 Cirrincione, Giansalvo; Randazzo, Vincenzo; Barbiero, Pietro; Ciravegna, Gabriele; Pasero, Eros
Graph Neural Networks for Graph Drawing
2024 Tiezzi, M.; Ciravegna, G.; Gori, M.
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
The Rapidly Evolving Scenario of Acoustic Voice Analysis in Otolaryngology
2024 Fantini, Marco; Ciravegna, Gabriele; Koudounas, Alkis; Cerquitelli, Tania; Baralis, Elena; Succo, Giovanni; Crosetti, Erika
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.
Dual Deep Clustering
2023 Cirrincione, G.; Randazzo, V.; Barbiero, P.; Ciravegna, G.; Pasero, E.
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
| 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, D., Ciravegna, G., Koudounas, A., Fantini, M., Crosetti, E., Succo, G., Cerquitelli, T.. - (In corso di stampa). (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2025 - Workshop & Tutorial Track Porto (PRT) 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, F., Bich, P., Ciravegna, G., Barbiero, P., Cerquitelli &, , T., Giordano, D.. - 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, F., Ciravegna, G., Bich, P., Giordano, D., Cerquitelli, T.. - 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, E., Poeta, E., Panisson, A., Perotti, A., Ciravegna, G.. - 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 |
| Concept-based Explainable Artificial Intelligence: A Survey / Poeta, E., Ciravegna, G., Pastor, E., Cerquitelli, T., Baralis, E.. - In: ACM COMPUTING SURVEYS. - ISSN 0360-0300. - (2025). [10.1145/3774643] | 1-gen-2025 | Poeta, EleonoraCiravegna, GabrielePastor, ElianaCerquitelli, TaniaBaralis, Elena | Survey_Concept_based_Explainability_v1.pdf |
| Linearly-interpretable concept embedding models for text analysis / De Santis, F., Bich, P., Ciravegna, G., Barbiero, P., Giordano, D., Cerquitelli, T.. - In: MACHINE LEARNING. - ISSN 0885-6125. - ELETTRONICO. - 114:10(2025). [10.1007/s10994-025-06839-5] | 1-gen-2025 | De Santis, FrancescoBich, PhilippeCiravegna, GabrieleGiordano, DaniloCerquitelli, Tania + | s10994-025-06839-5.pdf |
| Multimodal Fusion Techniques to Enhance Voice Disorder Diagnoses / Liu, Q., Ciravegna, G., Koudounas, A., Cerquitelli, T., Baralis, E.. - 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 |
| A new perspective on optimizers: leveraging moreau-yosida approximation in gradient-based learning / Betti, A., Ciravegna, G., Gori, M., Melacci, S., Mottin, K., Precioso, F.. - In: INTELLIGENZA ARTIFICIALE. - ISSN 1724-8035. - 18:2(2024), pp. 301-311. [10.3233/ia-240047] | 1-gen-2024 | Ciravegna, GabrieleGori, Marco + | betti-et-al-2024-a-new-perspective-on-optimizers-leveraging-moreau-yosida-approximation-in-gradient-based-learning.pdf |
| Fault Prediction in Resistance Spot Welding: A Comparison of Machine Learning Approaches / Ciravegna, G., Galante, F., Giordano, D., Cerquitelli, T., Mellia, M.. - In: ELECTRONICS. - ISSN 2079-9292. - 13:18(2024). [10.3390/electronics13183693] | 1-gen-2024 | Ciravegna G.Galante F.Giordano D.Cerquitelli T.Mellia M. | electronics-13-03693.pdf |
| Gradient-Based Competitive Learning: Theory / Cirrincione, G., Randazzo, V., Barbiero, P., Ciravegna, G., Pasero, E.. - In: COGNITIVE COMPUTATION. - ISSN 1866-9956. - ELETTRONICO. - 16:(2024), pp. 608-623. [10.1007/s12559-023-10225-5] | 1-gen-2024 | Randazzo, VincenzoCiravegna, GabrielePasero, Eros + | Randazzo-Gradient.pdf |
| Graph Neural Networks for Graph Drawing / Tiezzi, M., Ciravegna, G., Gori, M.. - In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. - ISSN 2162-237X. - 35:4(2024), pp. 4668-4681. [10.1109/TNNLS.2022.3184967] | 1-gen-2024 | Ciravegna G.Gori M. + | 09810169.pdf; Graph_Neural_Networks_for_Graph_Drawing.pdf |
| Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection - Vision paper / Ciravegna, G., Koudounas, A., Fantini, M., Cerquitelli, T., Baralis, E., Crosetti, E., Succo, G.. - 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 |
| The Rapidly Evolving Scenario of Acoustic Voice Analysis in Otolaryngology / Fantini, Marco; Ciravegna, Gabriele; Koudounas, Alkis; Cerquitelli, Tania; Baralis, Elena; Succo, Giovanni; Crosetti, Erika. - In: CUREUS. - ISSN 2168-8184. - 16:11(2024). [10.7759/cureus.73491] | 1-gen-2024 | Ciravegna, GabrieleKoudounas, AlkisCerquitelli, TaniaBaralis, Elena + | cureus-0016-00000073491.pdf |
| Voice Disorder Analysis: a Transformer-based Approach / Koudounas, A., Ciravegna, G., Fantini, M., Crosetti, E., Succo, G., Cerquitelli, T., Baralis, E.. - (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, G., Espinosa Zarlenga, M., Barbiero, P., Giannini, F., Shams, Z., Garreau, D., Jamnik, M., Cerquitelli, T.. - (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 |
| Dual Deep Clustering / Cirrincione, G., Randazzo, V., Barbiero, P., Ciravegna, G., Pasero, E. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Applications of Artificial Intelligence and Neural Systems to Data Science / Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero. - STAMPA. - [s.l] : Springer, 2023. - ISBN 978-981-99-3591-8. - pp. 51-62 [10.1007/978-981-99-3592-5_5] | 1-gen-2023 | Randazzo V.Ciravegna G.Pasero E. + | bookExtracted_Dual Deep Clustering.pdf; WIRN_2022___Dual_deep_clustering_v4_authorPostPrint.pdf |
| Interpretable Neural-Symbolic Concept Reasoning / Barbiero, P., Ciravegna, G., Giannini, F., Espinosa Zarlenga, M., Charlotte Magister, L., Tonda, A., Lio, P., Precioso, F., Jamnik, M., Marra, G.. - 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 |