Archivio Istituzionale della RicercaCIRRINCIONE, GIANSALVO
CIRRINCIONE, GIANSALVO
Dipartimento di Elettronica e Telecomunicazioni
018639
Subspace features and statistical indicators for neural network-based damage detection
2023 Rosso, MARCO MARTINO; Aloisio, Angelo; Cirrincione, Giansalvo; Marano, GIUSEPPE CARLO
Transformer-based approach to melanoma detection
2023 Cirrincione, Giansalvo; Cannata, Sergio; Cicceri, Giovanni; Prinzi, Francesco; Currieri, Tiziana; Lovino, Marta; Militello, Carmelo; Pasero, EROS GIAN ALESSANDRO; Vitabile, Salvatore
A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction
2022 Paviglianiti, A.; Randazzo, V.; Villata, S.; Cirrincione, G.; Pasero, E.
A survey on data integration for multi-omics sample clustering
2022 Lovino, M.; Randazzo, V.; Ciravegna, G.; Barbiero, P.; Ficarra, E.; Cirrincione, G.
Deep Learning algorithms for automatic COVID-19 detection on chest X-ray images
2022 Cannata, Sergio; Paviglianiti, Annunziata; Pasero, Eros; Cirrincione, Giansalvo; Cirrincione, Maurizio
Induction Machine Stator Fault Tracking using the Growing Curvilinear Component Analysis
2021 Kumar, R. R.; Randazzo, V.; Cirrincione, G.; Cirrincione, M.; Pasero, E.; Tortella, A.; Andriollo, M.
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 |
|---|---|---|---|
| Subspace features and statistical indicators for neural network-based damage detection / Rosso, M.M., Aloisio, A., Cirrincione, G., Marano, G.C.. - In: STRUCTURES. - ISSN 2352-0124. - ELETTRONICO. - 56:(2023), pp. 1-21. [10.1016/j.istruc.2023.06.123] | 1-gen-2023 | Marco Martino RossoGiansalvo CirrincioneGiuseppe Carlo Marano + | 1-s2.0-S2352012423008822-main.pdf; Structures_Subspace_based_indicators_neural_damage_detection_rev_1.pdf |
| Transformer-based approach to melanoma detection / Cirrincione, G., Cannata, S., Cicceri, G., Prinzi, F., Currieri, T., Lovino, M., Militello, C., Pasero, E.G.A., Vitabile, S.. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 23:12(2023). [10.3390/s23125677] | 1-gen-2023 | Giansalvo CirrincioneSergio CannataMarta LovinoEros PaseroSalvatore Vitabile + | sensors-23-05677-v2.pdf |
| A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction / Paviglianiti, A., Randazzo, V., Villata, S., Cirrincione, G., Pasero, E.. - In: COGNITIVE COMPUTATION. - ISSN 1866-9956. - ELETTRONICO. - (2022). [10.1007/s12559-021-09910-0] | 1-gen-2022 | Paviglianiti A.Randazzo V.Cirrincione G.Pasero E. + | Paviglianiti2021_Article_AComparisonOfDeepLearningTechn.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 |
| Deep Learning algorithms for automatic COVID-19 detection on chest X-ray images / Cannata, S., Paviglianiti, A., Pasero, E., Cirrincione, G., Cirrincione, M.. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 10:(2022), pp. 119905-119913. [10.1109/ACCESS.2022.3221531] | 1-gen-2022 | Cannata, SergioPaviglianiti, AnnunziataPasero, ErosCirrincione, Giansalvo + | FINAL Article.pdf; Cannata_Deep.pdf |
| Induction Machine Stator Fault Tracking using the Growing Curvilinear Component Analysis / Kumar, R.R., Randazzo, V., Cirrincione, G., Cirrincione, M., Pasero, E., Tortella, A., Andriollo, M.. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 9:(2021), pp. 2201-2212. [10.1109/ACCESS.2020.3047202] | 1-gen-2021 | Randazzo V.Cirrincione G.Pasero E. + | 09306809.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 |