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.
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.
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.
Topological Gradient-based Competitive Learning
2021 Barbiero, Pietro; Ciravegna, Gabriele; Randazzo, Vincenzo; Pasero, Eros; Cirrincione, Giansalvo
Deep CNN for 3D Face Recognition
2020 Olivetti, ELENA CARLOTTA; Ferretti, Jacopo; Cirrincione, Giansalvo; Nonis, Francesca; Tornincasa, Stefano; Marcolin, Federica
Double Channel Neural Non Invasive Blood Pressure Prediction
2020 Paviglianiti, A.; Randazzo, V.; Cirrincione, G.; Pasero, E.
Multi-omics classification on kidney samples exploiting uncertainty-aware models
2020 Lovino, Marta; Bontempo, Gianpaolo; Cirrincione, Giansalvo; Ficarra, Elisa
Neural Recurrent Approches to Noninvasive Blood Pressure Estimation
2020 Paviglianiti, Annunziata; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, EROS GIAN ALESSANDRO
Shallow Neural Network for Biometrics from the ECG-WATCH
2020 Randazzo, V.; Cirrincione, G.; Pasero, E.
Towards Uncovering Feature Extraction from Temporal Signals in Deep CNN: The ECG Case Study
2020 Ferretti, J.; Barbiero, P.; Randazzo, V.; Cirrincione, G.; Pasero, E.
Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network
2020 Barbiero, Pietro; Lovino, Marta; Siviero, Mattia; Ciravegna, Gabriele; Randazzo, Vincenzo; Ficarra, Elisa; Cirrincione, Giansalvo
Assessing Discriminating Capability of Geometrical Descriptors for 3D Face Recognition by Using the GH-EXIN Neural Network
2019 Ciravegna, G.; Cirrincione, G.; Marcolin, F.; Barbiero, P.; Dagnes, N.; Piccolo, E.
Supervised gene identification in colorectal cancer
2019 Barbiero, P.; Bertotti, A.; Ciravegna, G.; Cirrincione, G.; Pasero, E; Piccolo, E.
Unsupervised gene identification in colorectal cancer
2019 Barbiero, P.; Bertotti, A.; Ciravegna, Gabriele; Cirrincione, G.; Pasero, E.; Piccolo, E.
Nonstationary topological learning with bridges and convex polytopes: The G-EXIN neural network
2018 Randazzo, Vincenzo; Cirrincione, Giansalvo; Ciravegna, Gabriele; Pasero, Eros
| 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. + | - |
| 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 |
| 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 |
| 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 |
| 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 | - |
| Double Channel Neural Non Invasive Blood Pressure Prediction / Paviglianiti, A.; Randazzo, V.; Cirrincione, G.; Pasero, E.. - ELETTRONICO. - 12463:(2020), pp. 160-171. (Intervento presentato al convegno 16th International Conference on Intelligent Computing, ICIC 2020 tenutosi a ita nel 2020) [10.1007/978-3-030-60799-9_14]. | 1-gen-2020 | Paviglianiti A.Randazzo V.Cirrincione G.Pasero E. | bookExtracted_DoubleChannelNeuralNonInvasiveBloodPressurePrediction.pdf; v5_revisedAndsubmitted.pdf |
| Multi-omics classification on kidney samples exploiting uncertainty-aware models / Lovino, Marta; Bontempo, Gianpaolo; Cirrincione, Giansalvo; Ficarra, Elisa. - ELETTRONICO. - 12464:(2020), pp. 32-42. (Intervento presentato al convegno International Conference on Intelligent Computing (ICIC2020) tenutosi a Bari (Online) nel Oct 10-11th 2020) [10.1007/978-3-030-60802-6_4]. | 1-gen-2020 | Marta LovinoGiansalvo CirrincioneElisa Ficarra + | Multi_omics_classification_on_kidney_samplesexploiting_uncertainty_aware_models_short_version.pdf; Lovino2020_Chapter_Multi-omicsClassificationOnKid.pdf |
| Neural Recurrent Approches to Noninvasive Blood Pressure Estimation / Paviglianiti, Annunziata; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, EROS GIAN ALESSANDRO. - ELETTRONICO. - (2020), pp. 1-7. (Intervento presentato al convegno 2020 International Joint Conference on Neural Networks, IJCNN 2020 tenutosi a Glasgow, United Kingdom, United Kingdom nel 19-24 July 2020) [10.1109/IJCNN48605.2020.9207317]. | 1-gen-2020 | Annunziata PaviglianitiVincenzo RandazzoGiansalvo CirrincioneEros Pasero | PID6437761.pdf; Paviglianiti-Neural.pdf |
| Shallow Neural Network for Biometrics from the ECG-WATCH / Randazzo, V.; Cirrincione, G.; Pasero, E.. - ELETTRONICO. - 12463:(2020), pp. 259-269. (Intervento presentato al convegno 16th International Conference on Intelligent Computing, ICIC 2020 tenutosi a ita nel 2020) [10.1007/978-3-030-60799-9_22]. | 1-gen-2020 | Randazzo V.Cirrincione G.Pasero E. | NeuralBiometricECGWatch.pdf; Shallow neural network for biometrics from the ECG-WATCH_cameraReady.pdf; bookExtracted_Shallow neural network for biometrics from the ECG-WATCH.pdf |
| Towards Uncovering Feature Extraction from Temporal Signals in Deep CNN: The ECG Case Study / Ferretti, J.; Barbiero, P.; Randazzo, V.; Cirrincione, G.; Pasero, E.. - ELETTRONICO. - (2020), pp. 1-7. (Intervento presentato al convegno 2020 International Joint Conference on Neural Networks, IJCNN 2020 tenutosi a gbr nel 2020) [10.1109/IJCNN48605.2020.9207360]. | 1-gen-2020 | Ferretti J.Randazzo V.Cirrincione G.Pasero E. + | Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN_the ECG Case Study.pdf; 1D_CNN_Feature_Correlation_v4_submitted.pdf |
| Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network / Barbiero, Pietro; Lovino, Marta; Siviero, Mattia; Ciravegna, Gabriele; Randazzo, Vincenzo; Ficarra, Elisa; Cirrincione, Giansalvo. - ELETTRONICO. - 12463:(2020), pp. 172-182. (Intervento presentato al convegno 16th International Conference on Intelligent Computing, ICIC 2020 tenutosi a Bari (ita) nel Ottobre 2020) [10.1007/978-3-030-60799-9_15]. | 1-gen-2020 | Marta LovinoGabriele CiravegnaVincenzo RandazzoElisa FicarraGiansalvo Cirrincione + | ICIC_2020_barbiero_Lovino.pdf; bookExtracted_Unsupervised Multi-omic Data Fusion.pdf; Neural Graph Learning for Multi-Omic Data Fusion_4_cameraReady.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.. - (2019), 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-2019 | Ciravegna G.Cirrincione G.Marcolin F.Dagnes N.Piccolo E. + | - |
| Supervised gene identification in colorectal cancer / Barbiero, P.; Bertotti, A.; Ciravegna, G.; Cirrincione, G.; Pasero, E; Piccolo, E.. - ELETTRONICO. - 103:(2019), pp. 243-251. (Intervento presentato al convegno WIRN - Italian Workshop on Neural Networks tenutosi a Vietri sul Mare nel 14-16 giugno 2017) [10.1007/978-3-319-95095-2_23]. | 1-gen-2019 | Ciravegna G.Cirrincione G.Pasero EPiccolo E. + | Wirn42- Supervised Gene Identification in Colorectal Cancer.pdf |
| Unsupervised gene identification in colorectal cancer / Barbiero, P.; Bertotti, A.; Ciravegna, Gabriele; Cirrincione, G.; Pasero, E.; Piccolo, E.. - (2019), pp. 219-227. (Intervento presentato al convegno WIRN - Italian Workshop on Neural Networks tenutosi a Vietri sul Mare nel 14-16 giugno 2017) [10.1007/978-3-319-95095-2_21]. | 1-gen-2019 | CIRAVEGNA, GABRIELECirrincione G.Pasero E.Piccolo E. + | Unsupervised Gene Identification in Colorectal Cancer.pdf |
| Nonstationary topological learning with bridges and convex polytopes: The G-EXIN neural network / Randazzo, Vincenzo; Cirrincione, Giansalvo; Ciravegna, Gabriele; Pasero, Eros. - ELETTRONICO. - 2018-:(2018), pp. 1-6. (Intervento presentato al convegno 2018 International Joint Conference on Neural Networks, IJCNN 2018 tenutosi a Rio de Janeiro(Bra) nel 8-13 July 2018) [10.1109/IJCNN.2018.8489186]. | 1-gen-2018 | Randazzo, VincenzoCirrincione, GiansalvoCiravegna, GabrielePasero, Eros | - |