Archivio Istituzionale della RicercaCIRAVEGNA, GABRIELE
CIRAVEGNA, GABRIELE
038846
"DNA microarray classification: a shallow neural network model"
In corso di stampa Barbiero, P.; Bertotti, A.; Ciravegna, G.; Cirrincione, G.; Piccolo, E.
‘DNA microarray classification: evolutionary optimization of neural network hyperparameters"
In corso di stampa Barbiero, P.; Bertotti, A.; Ciravegna, G.; Cirrincione, G.; Piccolo, E.
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
Knowledge-Driven Active Learning
2023 Ciravegna, Gabriele; Precioso, Frédéric; Betti, Alessandro; Mottin, Kevin; Gori, Marco
Learning Logic Explanations by Neural Networks
2023 Ciravegna, Gabriele; Giannini, Francesco; Barbiero, Pietro; Gori, Marco; Lio, Pietro; Maggini, Marco; Melacci, Stefano
Logic explained networks
2023 Ciravegna, G.; Barbiero, P.; Giannini, F.; Gori, M.; Li('o), P.; Maggini, M.; Melacci, S.
A survey on data integration for multi-omics sample clustering
2022 Lovino, M.; Randazzo, V.; Ciravegna, G.; Barbiero, P.; Ficarra, E.; Cirrincione, G.
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.
Data set and machine learning models for the classification of network traffic originators
2022 Canavese, D.; Regano, L.; Basile, C.; Ciravegna, G.; Lioy, A.
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers
2022 Melacci, S.; Ciravegna, G.; Sotgiu, A.; Demontis, A.; Biggio, B.; Gori, M.; Roli, F.
| 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). (Intervento presentato al convegno WIRN - Italian Workshop on Neural Networks tenutosi a Vietri sul Mare nel 13-15 giugno 2018). | In corso di stampa | Ciravegna G.Cirrincione G.Piccolo E. + | - |
| ‘DNA microarray classification: evolutionary optimization of neural network hyperparameters" / Barbiero, P.; Bertotti, A.; Ciravegna, G.; Cirrincione, G.; Piccolo, E.. - (In corso di stampa). (Intervento presentato al convegno WIRN 2018 - Italian Workshop on Neural Networks tenutosi a Vietri sul Mare nel 13-15 giugno 2018). | In corso di stampa | Ciravegna G.Cirrincione G.Piccolo E. + | - |
| A new perspective on optimizers: leveraging moreau-yosida approximation in gradient-based learning / Betti, Alessandro; Ciravegna, Gabriele; Gori, Marco; Melacci, Stefano; Mottin, Kevin; Precioso, Frédéric. - 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, Giansalvo; Randazzo, Vincenzo; Barbiero, Pietro; Ciravegna, Gabriele; Pasero, Eros. - 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, Gabriele; Koudounas, Alkis; Fantini, Marco; Cerquitelli, Tania; Baralis, Elena; Crosetti, Erika; Succo, Giovanni. - 3651:(2024). (Intervento presentato al convegno Workshops of the EDBT/ICDT 2024 Joint Conference tenutosi a Paestum (IT) nel 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, Alkis; Ciravegna, Gabriele; Fantini, Marco; Crosetti, Erika; Succo, Giovanni; Cerquitelli, Tania; Baralis, Elena. - (2024), pp. 3040-3044. (Intervento presentato al convegno Interspeech 2024 tenutosi a Kos (GR) nel 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. (Intervento presentato al convegno 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining tenutosi a Barcelona (ESP) nel 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. (Intervento presentato al convegno 1st World Conference on eXplainable Artificial Intelligence, xAI 2023 tenutosi a Lisbon (PRT) nel 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, 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. (Intervento presentato al convegno ICML International Conference on Machine Learning 2023 tenutosi a Honolulu, Hawaii (USA) nel 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. (Intervento presentato al convegno European Conference, ECML PKDD 2023 tenutosi a Turin (ITA) nel 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 |
| Learning Logic Explanations by Neural Networks / Ciravegna, Gabriele; Giannini, Francesco; Barbiero, Pietro; Gori, Marco; Lio, Pietro; Maggini, Marco; Melacci, Stefano (FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS). - In: Compendium of Neurosymbolic Artificial Intelligence / Hitzler P., Sarker M.K., Eberhart A.. - ELETTRONICO. - [s.l] : IOS Press Ebooks, 2023. - ISBN 9781643684062. - pp. 547-558 [10.3233/FAIA230157] | 1-gen-2023 | Ciravegna, GabrieleGori, Marco + | _Neuro_Symbolic_Artificial_Intelligence__Learning_Logic_Explanations_by_Neural_Networks.pdf |
| Logic explained networks / Ciravegna, G.; Barbiero, P.; Giannini, F.; Gori, M.; Li('o), P.; Maggini, M.; Melacci, S.. - In: ARTIFICIAL INTELLIGENCE. - ISSN 0004-3702. - 314:(2023). [10.1016/j.artint.2022.103822] | 1-gen-2023 | Ciravegna, G.Gori, M. + | 1-s2.0-S000437022200162X-main.pdf |
| A survey on data integration for multi-omics sample clustering / Lovino, M.; Randazzo, V.; Ciravegna, G.; Barbiero, P.; Ficarra, E.; Cirrincione, G.. - In: NEUROCOMPUTING. - ISSN 0925-2312. - ELETTRONICO. - 488:(2022), pp. 494-508. [10.1016/j.neucom.2021.11.094] | 1-gen-2022 | Lovino M.Randazzo V.Ciravegna G.Ficarra E.Cirrincione G. + | Randazzo-ASurvey.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). (Intervento presentato al convegno 36th Conference on Neural Information Processing Systems, NeurIPS 2022 tenutosi a New Orleans (USA) nel 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 |
| Data set and machine learning models for the classification of network traffic originators / Canavese, D.; Regano, L.; Basile, C.; Ciravegna, G.; Lioy, A.. - In: DATA IN BRIEF. - ISSN 2352-3409. - ELETTRONICO. - 41:(2022), p. 107968. [10.1016/j.dib.2022.107968] | 1-gen-2022 | Canavese D.Regano L.Basile C.Ciravegna G.Lioy A. | 1-s2.0-S2352340922001792-main.pdf |
| Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers / Melacci, S.; Ciravegna, G.; Sotgiu, A.; Demontis, A.; Biggio, B.; Gori, M.; Roli, F.. - In: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. - ISSN 0162-8828. - 44:12(2022), pp. 9944-9959. [10.1109/TPAMI.2021.3137564] | 1-gen-2022 | Ciravegna G.Gori M. + | Domain_Knowledge_Alleviates_Adversarial_Attacks_in_Multi-Label_Classifiers.pdf |