Archivio Istituzionale della RicercaCIRRINCIONE, GIANSALVO
CIRRINCIONE, GIANSALVO
Dipartimento di Elettronica e Telecomunicazioni
018639
"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.
Compact Convolutional Transformer Fourier analysis for GPR tunnels assessment
2023 Melchiorre, Jonathan; Rosso, Marco Martino; Cirrincione, Giansalvo; Marano, Giuseppe Carlo
Structural Health Monitoring with Artificial Neural Network and Subspace-Based Damage Indicators
2023 Rosso, M. M.; Aloisio, A.; Cucuzza, R.; Pasca, D. P.; Cirrincione, G.; Marano, G. C.
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.
ADVANCED DEEP LEARNING COMPARISONS FOR NON-INVASIVE TUNNEL LINING ASSESSMENT FROM GROUND PENETRATING RADAR PROFILES
2022 Rosso, M. M.; Marasco, G.; Tanzi, L.; Aiello, S.; Aloisio, A.; Cucuzza, R.; Chiaia, B.; Cirrincione, G.; Marano, G. C.
Deep Learning algorithms for automatic COVID-19 detection on chest X-ray images
2022 Cannata, Sergio; Paviglianiti, Annunziata; Pasero, Eros; Cirrincione, Giansalvo; Cirrincione, Maurizio
Ground Penetrating Radar Fourier Pre-processing for Deep Learning Tunnel Defects’ Automated Classification
2022 Marasco, Giulia; Rosso, Marco M.; Aiello, Salvatore; Aloisio, Angelo; Cirrincione, Giansalvo; Chiaia, Bernardino; Marano, Giuseppe C.
Review on deep learning in structural health monitoring
2022 Rosso, Marco M.; Cucuzza, Raffaele; Marano, Giuseppe C.; Aloisio, Angelo; Cirrincione, Giansalvo
Tracking Evolution of Stator-based Fault in Induction Machines using the Growing Curvilinear Component Analysis Neural Network
2022 Kumar, R. R.; Randazzo, V.; Cirrincione, G.; Cirrinicone, M.
A new unsupervised neural approach to stationary and non-stationary data
2021 Randazzo, V.; Cirrincione, G.; Pasero, E.
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.
Topological Gradient-based Competitive Learning
2021 Barbiero, Pietro; Ciravegna, Gabriele; Randazzo, Vincenzo; Pasero, Eros; Cirrincione, Giansalvo
1-D Convolutional Neural Network for ECG Arrhythmia Classification
2020 Ferretti, Jacopo; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros
A Neural Based Comparative Analysis for Feature Extraction from ECG Signals
2020 Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, Eros
Assessing Discriminating Capability of Geometrical Descriptors for 3D Face Recognition by Using the GH-EXIN Neural Network
2020 Ciravegna, G.; Cirrincione, G.; Marcolin, F.; Barbiero, P.; Dagnes, N.; Piccolo, E.
Deep CNN for 3D Face Recognition
2020 Olivetti, ELENA CARLOTTA; Ferretti, Jacopo; Cirrincione, Giansalvo; Nonis, Francesca; Tornincasa, Stefano; Marcolin, Federica
| 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. + | - |
| Compact Convolutional Transformer Fourier analysis for GPR tunnels assessment / Melchiorre, Jonathan; Rosso, Marco Martino; Cirrincione, Giansalvo; Marano, Giuseppe Carlo. - (2023). (Intervento presentato al convegno International Conference on Control, Automation and Diagnosis (ICCAD) tenutosi a Roma, Italia nel 10-12 May 2023) [10.1109/ICCAD57653.2023.10152455]. | 1-gen-2023 | Melchiorre, JonathanRosso, Marco MartinoCirrincione, GiansalvoMarano, Giuseppe Carlo | ICCAD23_Rome_Full_Paper_IEEE_Melchiorre_Rosso.pdf; Compact_Convolutional_Transformer_Fourier_analysis_for_GPR_tunnels_assessment.pdf |
| Structural Health Monitoring with Artificial Neural Network and Subspace-Based Damage Indicators / Rosso, M. M.; Aloisio, A.; Cucuzza, R.; Pasca, D. P.; Cirrincione, G.; Marano, G. C.. - 306:(2023), pp. 524-537. (Intervento presentato al convegno 3rd International Conference of International Society for Intelligent Construction, ISIC 2022 tenutosi a Guimarães (PRT) nel September 2022) [10.1007/978-3-031-20241-4_37]. | 1-gen-2023 | Rosso M. M.Aloisio A.Cucuzza R.Cirrincione G.Marano G. C. + | - |
| Subspace features and statistical indicators for neural network-based damage detection / Rosso, MARCO MARTINO; Aloisio, Angelo; Cirrincione, Giansalvo; Marano, GIUSEPPE CARLO. - 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, Giansalvo; Cannata, Sergio; Cicceri, Giovanni; Prinzi, Francesco; Currieri, Tiziana; Lovino, Marta; Militello, Carmelo; Pasero, EROS GIAN ALESSANDRO; Vitabile, Salvatore. - 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 |
| ADVANCED DEEP LEARNING COMPARISONS FOR NON-INVASIVE TUNNEL LINING ASSESSMENT FROM GROUND PENETRATING RADAR PROFILES / Rosso, M. M.; Marasco, G.; Tanzi, L.; Aiello, S.; Aloisio, A.; Cucuzza, R.; Chiaia, B.; Cirrincione, G.; Marano, G. C.. - ELETTRONICO. - (2022), pp. 1-10. (Intervento presentato al convegno 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022) tenutosi a Oslo (NO) nel 5 - 9 Giugno 2022) [10.23967/eccomas.2022.038]. | 1-gen-2022 | Rosso, M. M.Marasco, G.Tanzi, L.Aiello, S.Aloisio, A.Cucuzza, R.Chiaia, B.Cirrincione, G.Marano, G. C. | File.pdf |
| Deep Learning algorithms for automatic COVID-19 detection on chest X-ray images / Cannata, Sergio; Paviglianiti, Annunziata; Pasero, Eros; Cirrincione, Giansalvo; Cirrincione, Maurizio. - 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 |
| Ground Penetrating Radar Fourier Pre-processing for Deep Learning Tunnel Defects’ Automated Classification / Marasco, Giulia; Rosso, Marco M.; Aiello, Salvatore; Aloisio, Angelo; Cirrincione, Giansalvo; Chiaia, Bernardino; Marano, Giuseppe C.. - 1600:(2022), pp. 165-176. (Intervento presentato al convegno 23th International Conference on Engineering Applications of Neural Networks (Engineering Applications and Advances of Artificial Intelligence) tenutosi a Crete, Greece nel 17 – 20 June, 2022) [10.1007/978-3-031-08223-8_14]. | 1-gen-2022 | Giulia MarascoMarco M. RossoSalvatore AielloGiansalvo CirrincioneBernardino ChiaiaGiuseppe C. Marano + | eann2022_paper_25.pdf; Marasco-Rosso-etal_EANN2022.pdf |
| Review on deep learning in structural health monitoring / Rosso, Marco M.; Cucuzza, Raffaele; Marano, Giuseppe C.; Aloisio, Angelo; Cirrincione, Giansalvo. - ELETTRONICO. - (2022). (Intervento presentato al convegno Eleventh International Conference on Bridge Maintenance, Safety and Management (IABMAS 2022) tenutosi a Barcelona (ESP) nel July 11-15, 2022) [10.1201/9781003322641-34]. | 1-gen-2022 | Marco M. RossoRaffaele CucuzzaGiuseppe C. MaranoGiansalvo Cirrincione + | - |
| Tracking Evolution of Stator-based Fault in Induction Machines using the Growing Curvilinear Component Analysis Neural Network / Kumar, R. R.; Randazzo, V.; Cirrincione, G.; Cirrinicone, M.. - ELETTRONICO. - (2022), pp. 1-5. (Intervento presentato al convegno 2022 25th International Conference on Electrical Machines and Systems (ICEMS) tenutosi a Chiang Mai, Thailand nel 29 November 2022 - 02 December 2022) [10.1109/ICEMS56177.2022.9983026]. | 1-gen-2022 | Randazzo V.Cirrincione G. + | Tracking_Evolution_of_Stator-based_Fault_in_Induction_Machines_using_the_GCCA.pdf; Paper ID - 1570816545_postPrint.pdf |
| A new unsupervised neural approach to stationary and non-stationary data / Randazzo, V.; Cirrincione, G.; Pasero, E. (INTELLIGENT SYSTEMS REFERENCE LIBRARY). - In: Advances in Data Science: Methodologies and Applications / Phillips-Wren G., Esposito A., Jain L.C.. - STAMPA. - [s.l] : Springer, 2021. - ISBN 978-3-030-51869-1. - pp. 125-145 [10.1007/978-3-030-51870-7_7] | 1-gen-2021 | Randazzo V.Cirrincione G.Pasero E. | A new unsupervised neural approach to stationary and non-stationary data_v7.pdf; BookExctracted_A new unsupervised neural approach to stationary and non-stationary data.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 |
| 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 |
| 1-D Convolutional Neural Network for ECG Arrhythmia Classification / Ferretti, Jacopo; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Progresses in Artificial Intelligence and Neural Systems / Esposito A., Faundez-Zanuy M., Morabito F., Pasero E.. - ELETTRONICO. - [s.l] : Springer Singapore, 2020. - ISBN 978-981-15-5093-5. - pp. 269-279 [10.1007/978-981-15-5093-5_25] | 1-gen-2020 | Jacopo FerrettiVincenzo RandazzoGiansalvo CirrincioneEros Pasero | Wirn2019_ECG_DeepLearning_abstract.pdf; Wirn2019_ECG_DeepLearning_v5_final.pdf; bookExtracted_1-D Convolutional Neural Network for ECG Arrhythmia Classification.pdf |
| A Neural Based Comparative Analysis for Feature Extraction from ECG Signals / Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, Eros (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Neural Approaches to Dynamics of Signal ExchangesELETTRONICO. - [s.l] : Springer Singapore, 2020. - ISBN 978-981-13-8952-8. - pp. 247-256 [10.1007/978-981-13-8950-4_23] | 1-gen-2020 | Cirrincione, GiansalvoRandazzo, VincenzoPasero, Eros | Wirn2018_ECG_v10_reviewed.pdf; bookExtracted_A Neural Based Comparative Analysis for Feature Extraction from ECG Signals.pdf |
| Assessing Discriminating Capability of Geometrical Descriptors for 3D Face Recognition by Using the GH-EXIN Neural Network / Ciravegna, G.; Cirrincione, G.; Marcolin, F.; Barbiero, P.; Dagnes, N.; Piccolo, E.. - 151:(2020), pp. 223-233. (Intervento presentato al convegno The Italian Workshop on Neural Networks WIRN 2018) [10.1007/978-981-13-8950-4_21]. | 1-gen-2020 | Ciravegna G.Cirrincione G.Marcolin F.Dagnes N.Piccolo E. + | 978-981-13-8950-4_compressed.pdf; Assessing Discriminating Capability of Geometrical Descriptors for 3D Face Recognition by Using the GH-EXIN Neural Network.pdf |
| Deep CNN for 3D Face Recognition / Olivetti, ELENA CARLOTTA; Ferretti, Jacopo; Cirrincione, Giansalvo; Nonis, Francesca; Tornincasa, Stefano; Marcolin, Federica. - STAMPA. - (2020), pp. 665-674. (Intervento presentato al convegno International Conference on Design Tools and Methods in Industrial Engineering, ADM 2019) [10.1007/978-3-030-31154-4_56]. | 1-gen-2020 | OLIVETTI, ELENA CARLOTTAFERRETTI, JACOPOGiansalvo CirrincioneFrancesca NonisStefano TornincasaFederica Marcolin | - |