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Concept-based Explainable Artificial Intelligence: A Survey
In corso di stampa 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
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.
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
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.
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.
Encryption-agnostic classifiers of traffic originators and their application to anomaly detection
2022 Canavese, Daniele; Regano, Leonardo; Basile, Cataldo; Ciravegna, Gabriele; Lioy, Antonio
The GH-EXIN neural network for hierarchical clustering
2020 Cirrincione, G.; Ciravegna, G.; Barbiero, P.; Randazzo, V.; Pasero, E.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Concept-based Explainable Artificial Intelligence: A Survey / Poeta, Eleonora; Ciravegna, Gabriele; Pastor, Eliana; Cerquitelli, Tania; Baralis, Elena. - In: ACM COMPUTING SURVEYS. - ISSN 0360-0300. - (In corso di stampa). | In corso di stampa | Poeta, EleonoraCiravegna, GabrielePastor, ElianaCerquitelli, TaniaBaralis, Elena | Survey_Concept_based_Explainability_v1.pdf |
| Linearly-interpretable concept embedding models for text analysis / De Santis, Francesco; Bich, Philippe; Ciravegna, Gabriele; Barbiero, Pietro; Giordano, Danilo; Cerquitelli, Tania. - 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Encryption-agnostic classifiers of traffic originators and their application to anomaly detection / Canavese, Daniele; Regano, Leonardo; Basile, Cataldo; Ciravegna, Gabriele; Lioy, Antonio. - In: COMPUTERS & ELECTRICAL ENGINEERING. - ISSN 0045-7906. - STAMPA. - 97:(2022). [10.1016/j.compeleceng.2021.107621] | 1-gen-2022 | Canavese, DanieleRegano, LeonardoBasile, CataldoCiravegna, GabrieleLioy, Antonio | 1-s2.0-S0045790621005528-main.pdf |
| The GH-EXIN neural network for hierarchical clustering / Cirrincione, G.; Ciravegna, G.; Barbiero, P.; Randazzo, V.; Pasero, E.. - In: NEURAL NETWORKS. - ISSN 0893-6080. - ELETTRONICO. - 121:(2020), pp. 57-73. [10.1016/j.neunet.2019.07.018] | 1-gen-2020 | Cirrincione G.Ciravegna G.Randazzo V.Pasero E. + | 1-s2.0-S0893608019302060-main.pdf; GH_EXIN__Growing_Neural_Network_for_Hierarchical_Clustering_revisionSubmitted.pdf |