Archivio Istituzionale della RicercaCIRAVEGNA, GABRIELE
CIRAVEGNA, GABRIELE
Dipartimento di Automatica e Informatica
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.
Dual Deep Clustering
2023 Cirrincione, G.; Randazzo, V.; Barbiero, P.; Ciravegna, G.; Pasero, E.
Gradient-Based Competitive Learning: Theory
2023 Cirrincione, Giansalvo; Randazzo, Vincenzo; Barbiero, Pietro; Ciravegna, Gabriele; Pasero, Eros
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
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.
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, D.; Regano, L.; Basile, C.; Ciravegna, G.; Lioy, A.
Encryption-agnostic classifiers of traffic originators and their application to anomaly detection
2022 Canavese, Daniele; Regano, Leonardo; Basile, Cataldo; Ciravegna, Gabriele; Lioy, Antonio
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
Graph Neural Networks for Graph Drawing
2022 Tiezzi, M.; Ciravegna, G.; Gori, M.
On the Two-fold Role of Logic Constraints in Deep Learning
2022 Ciravegna, Gabriele
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.
Discovering Hierarchical Neural Archetype Sets
2020 Ciravegna, Gabriele; Barbiero, Pietro; Cirrincione, Giansalvo; Squillero, Giovanni; Tonda, Alberto
| 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. + | - |
| 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 |
| Gradient-Based Competitive Learning: Theory / Cirrincione, Giansalvo; Randazzo, Vincenzo; Barbiero, Pietro; Ciravegna, Gabriele; Pasero, Eros. - In: COGNITIVE COMPUTATION. - ISSN 1866-9956. - ELETTRONICO. - (2023). [10.1007/s12559-023-10225-5] | 1-gen-2023 | Randazzo, VincenzoCiravegna, GabrielePasero, Eros + | s12559-023-10225-5.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 |
| 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 |
| 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, D.; Regano, L.; Basile, C.; Ciravegna, G.; Lioy, A.. - In: COMPUTERS & ELECTRICAL ENGINEERING. - ISSN 0045-7906. - 97:(2022). [10.1016/j.compeleceng.2021.107621] | 1-gen-2022 | Canavese, D.Regano, L.Basile, C.Ciravegna, G.Lioy, A. | traffic_fingerprinting.pdf; 1-s2.0-S0045790621005528-main.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 |
| 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. (Intervento presentato al convegno 36th AAAI Conference on Artificial Intelligence tenutosi a Held virtually nel 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. (Intervento presentato al convegno 2022 Conference on Empirical Methods in Natural Language Processing tenutosi a Abu Dhabi (United Arab Emirates) nel 7 December 2022 -11 December 2022). | 1-gen-2022 | Ciravegna, Gabriele + | 2022.emnlp-main.604.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. - (2022), pp. 1-14. [10.1109/TNNLS.2022.3184967] | 1-gen-2022 | Ciravegna G.Gori M. + | 09810169.pdf |
| On the Two-fold Role of Logic Constraints in Deep Learning / Ciravegna, Gabriele. - (2022). | 1-gen-2022 | Gabriele Ciravegna | - |
| Topological Gradient-based Competitive Learning / Barbiero, Pietro; Ciravegna, Gabriele; Randazzo, Vincenzo; Pasero, Eros; Cirrincione, Giansalvo. - ELETTRONICO. - (2021), pp. 1-8. (Intervento presentato al convegno 2021 International Joint Conference on Neural Networks, IJCNN 2021 tenutosi a Shenzhen, China nel 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. (Intervento presentato al convegno 34th AAAI Conference on Artificial Intelligence, AAAI 2020 tenutosi a New York (USA) nel 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. (Intervento presentato al convegno 8th KES International Conference on Innovation in Medicine and Healthcare, KES-InMed 2020 tenutosi a Virtual Conference nel June 17–19, 2020) [10.1007/978-981-15-5852-8_15]. | 1-gen-2020 | Ciravegna G. + | - |
| Discovering Hierarchical Neural Archetype Sets / Ciravegna, Gabriele; Barbiero, Pietro; Cirrincione, Giansalvo; Squillero, Giovanni; Tonda, Alberto (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Progresses in Artificial Intelligence and Neural SystemsSTAMPA. - Cham : Springer, 2020. - ISBN 978-981-15-5092-8. - pp. 255-267 [10.1007/978-981-15-5093-5_24] | 1-gen-2020 | Ciravegna, GabrieleSquillero, Giovanni + | civ2020.compressed.pdf |