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.
1-D Convolutional Neural Network for ECG Arrhythmia Classification
2021 Ferretti, Jacopo; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, EROS GIAN ALESSANDRO
A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction
2021 Paviglianiti, A.; Randazzo, V.; Villata, S.; Cirrincione, G.; Pasero, E.
A Neural Based Comparative Analysis for Feature Extraction from ECG Signals
2020 Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, Eros
A new unsupervised neural approach to stationary and non-stationary data
2021 Randazzo, V.; 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.
Analysis of stator faults in induction machines using growing curvilinear component analysis
2017 Kumar, R. R.; Randazzo, V.; Cirrincione, G.; Cirrincione, M.; Pasero, E.
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.
Compact Convolutional Transformer Fourier analysis for GPR tunnels assessment
2023 Melchiorre, Jonathan; Rosso, Marco Martino; Cirrincione, Giansalvo; Marano, Giuseppe Carlo
Deep CNN for 3D Face Recognition
2020 Olivetti, ELENA CARLOTTA; Ferretti, Jacopo; Cirrincione, Giansalvo; Nonis, Francesca; Tornincasa, Stefano; Marcolin, Federica
Deep Learning algorithms for automatic COVID-19 detection on chest X-ray images
2022 Cannata, Sergio; Paviglianiti, Annunziata; Pasero, Eros; Cirrincione, Giansalvo; Cirrincione, Maurizio
Double Channel Neural Non Invasive Blood Pressure Prediction
2020 Paviglianiti, A.; Randazzo, V.; Cirrincione, G.; Pasero, E.
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.
Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data
2017 Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, EROS GIAN ALESSANDRO
Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines
2020 Cirrincione, Giansalvo; Randazzo, Vincenzo; Kumar, Rahul R.; Cirrincione, Maurizio; Pasero, Eros
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.
Multi-omics classification on kidney samples exploiting uncertainty-aware models
2020 Lovino, Marta; Bontempo, Gianpaolo; Cirrincione, Giansalvo; Ficarra, Elisa
Neural Biclustering in Gene Expression Analysis
2017 Barbiero, P.; Bertotti, A.; Ciravegna, G.; Cirrincione, G.; Piccolo, E.
Neural Epistemology in Dynamical System Learning
2020 Barbiero, P.; Cirrincione, G.; Cirrincione, M.; Piccolo, E.; Vaccarino, F.
| 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. + | - |
| 1-D Convolutional Neural Network for ECG Arrhythmia Classification / Ferretti, Jacopo; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, EROS GIAN ALESSANDRO (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, 2021. - ISBN 978-981-15-5093-5. - pp. 269-279 [10.1007/978-981-15-5093-5_25] | 1-gen-2021 | 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 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. - (2021). [10.1007/s12559-021-09910-0] | 1-gen-2021 | Paviglianiti A.Randazzo V.Cirrincione G.Pasero E. + | Paviglianiti2021_Article_AComparisonOfDeepLearningTechn.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 |
| 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 |
| 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 |
| Analysis of stator faults in induction machines using growing curvilinear component analysis / Kumar, R. R.; Randazzo, V.; Cirrincione, G.; Cirrincione, M.; Pasero, E.. - (2017), pp. 1-6. (Intervento presentato al convegno 20th International Conference on Electrical Machines and Systems, ICEMS 2017 tenutosi a aus nel 2017) [10.1109/ICEMS.2017.8056240]. | 1-gen-2017 | Randazzo, V.Cirrincione, G.Pasero, E. + | - |
| 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. + | - |
| 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 |
| 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 | - |
| 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 |
| 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 |
| 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 |
| Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data / Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, EROS GIAN ALESSANDRO (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Multidisciplinary Approaches to Neural Computing / Esposito, A., Faundez-Zanuy, M., Morabito, F.C., Pasero, E.. - ELETTRONICO. - [s.l] : Springer International Publishing, 2017. - ISBN 978-3-319-56904-8. - pp. 151-160 [10.1007/978-3-319-56904-8_15] | 1-gen-2017 | CIRRINCIONE, GIANSALVORANDAZZO, VINCENZOPASERO, EROS GIAN ALESSANDRO | bookExtracted_Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data.pdf; WIRN2016_gCCAv.11 - UPLOADED.pdf |
| Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines / Cirrincione, Giansalvo; Randazzo, Vincenzo; Kumar, Rahul R.; Cirrincione, Maurizio; Pasero, Eros (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Neural Approaches to Dynamics of Signal Exchanges / Esposito A., Faundez-Zanuy M., Morabito F., Pasero E.. - ELETTRONICO. - [s.l] : Springer Singapore, 2020. - ISBN 978-981-13-8950-4. - pp. 235-244 [10.1007/978-981-13-8950-4_22] | 1-gen-2020 | Cirrincione, GiansalvoRandazzo, VincenzoPasero, Eros + | gCCA_onStatorMotors_subafterRev.pdf; bookExtracted_Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines.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 |
| Multi-omics classification on kidney samples exploiting uncertainty-aware models / Lovino, Marta; Bontempo, Gianpaolo; Cirrincione, Giansalvo; Ficarra, Elisa. - ELETTRONICO. - 2:(2020), pp. 32-42. (Intervento presentato al convegno International Conference on Intelligent Computing (ICIC2020) tenutosi a Bari (Online) nel Oct 10-11th 2020) [https://doi.org/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 Biclustering in Gene Expression Analysis / Barbiero, P.; Bertotti, A.; Ciravegna, G.; Cirrincione, G.; Piccolo, E.. - ELETTRONICO. - (2017), pp. 1238-1243. (Intervento presentato al convegno 2017 International Conference on Computational Science and Computational Intelligence (CSCI) tenutosi a Las Vegas (USA) nel 14-16 December 2017) [10.1109/CSCI.2017.361]. | 1-gen-2017 | Ciravegna G.Cirrincione G.Piccolo E. + | 07_Neural Biclustering in Gene Expression Analysis.pdf; Neural_Biclustering_in_Gene_Expression_Analysis.pdf |
| Neural Epistemology in Dynamical System Learning / Barbiero, P.; Cirrincione, G.; Cirrincione, M.; Piccolo, E.; Vaccarino, F. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Smart Innovation, Systems and TechnologiesSTAMPA. - [s.l] : Springer Science and Business Media Deutschland GmbH, 2020. - ISBN 978-981-13-8949-8. - pp. 213-221 [10.1007/978-981-13-8950-4_20] | 1-gen-2020 | Cirrincione G.Piccolo E.Vaccarino F. + | NeuralEpistemologyinDynamicalSystemLearning.pdf; untitled.pdf |