CIRRINCIONE, GIANSALVO

CIRRINCIONE, GIANSALVO  

Dipartimento di Elettronica e Telecomunicazioni  

018639  

Mostra records
Risultati 1 - 20 di 31 (tempo di esecuzione: 0.036 secondi).
Citazione Data di pubblicazione Autori File
1-D Convolutional Neural Network for ECG Arrhythmia Classification / Ferretti, Jacopo; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, EROS GIAN ALESSANDRO. - ELETTRONICO. - 184:(2021), pp. 269-279. [10.1007/978-981-15-5093-5_25] 1-gen-2021 Jacopo FerrettiVincenzo RandazzoGiansalvo CirrincioneEros Pasero Wirn2019_ECG_DeepLearning_abstract.pdfWirn2019_ECG_DeepLearning_v5_final.pdfbookExtracted_1-D Convolutional Neural Network for ECG Arrhythmia Classification.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. + PID4894221.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. + -
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
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.pdfCannata_Deep.pdf
"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. + AS6362488971059231528704966655_content_1.pdf
‘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. + 05_AS6362488971059231528704966655_content_1.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.pdfv5_revisedAndsubmitted.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.pdfGH_EXIN__Growing_Neural_Network_for_Hierarchical_Clustering_revisionSubmitted.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 CCIS:(2022), pp. 165-176. [10.1007/978-3-031-08223-8_14] 1-gen-2022 Giulia MarascoMarco M. RossoSalvatore AielloGiansalvo CirrincioneBernardino ChiaiaGiuseppe C. Marano + eann2022_paper_25.pdfMarasco-Rosso-etal_EANN2022.pdf
Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data / Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, EROS GIAN ALESSANDRO. - ELETTRONICO. - 69:(2017), 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.pdfWIRN2016_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. - ELETTRONICO. - 151:(2020), pp. 235-244. [10.1007/978-981-13-8950-4_22] 1-gen-2020 Cirrincione, GiansalvoRandazzo, VincenzoPasero, Eros + gCCA_onStatorMotors_subafterRev.pdfbookExtracted_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.pdfLovino2020_Chapter_Multi-omicsClassificationOnKid.pdf
A Neural Based Comparative Analysis for Feature Extraction from ECG Signals / Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, Eros. - ELETTRONICO. - 151:(2020), pp. 247-256. [10.1007/978-981-13-8950-4_23] 1-gen-2020 Cirrincione, GiansalvoRandazzo, VincenzoPasero, Eros Wirn2018_ECG_v10_reviewed.pdfbookExtracted_A Neural Based Comparative Analysis for Feature Extraction from ECG Signals.pdf
Neural Epistemology in Dynamical System Learning / Barbiero, P.; Cirrincione, G.; Cirrincione, M.; Piccolo, E.; Vaccarino, F.. - STAMPA. - 151:(2020), pp. 213-221. [10.1007/978-981-13-8950-4_20] 1-gen-2020 Cirrincione G.Piccolo E.Vaccarino F. + NeuralEpistemologyinDynamicalSystemLearning.pdfuntitled.pdf
Neural feature extraction for the analysis of Parkinsonian patient handwriting / Randazzo, Vincenzo; Cirrincione, Giansalvo; Paviglianiti, Annunziata; Pasero, EROS GIAN ALESSANDRO; Morabito, FRANCESCO CARLO. - ELETTRONICO. - 184:(2021), pp. 243-253. [10.1007/978-981-15-5093-5_23] 1-gen-2021 Vincenzo RandazzoGiansalvo CirrincionePAVIGLIANITI, ANNUNZIATAEros Pasero + Neural feature extraction for the analysis of Parkinsonian patient handwriting_v7.pdfNeural feature extraction for the analysis of Parkinsonian patient handwriting_v9_revised.pdfbookExtracted_Neural feature extraction for the analysis of Parkinsonian patient handwriting.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.pdfPaviglianiti-Neural.pdf
A new unsupervised neural approach to stationary and non-stationary data / Randazzo, V.; Cirrincione, G.; Pasero, E.. - STAMPA. - 189:(2021), 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.pdfBookExctracted_A new unsupervised neural approach to stationary and non-stationary data.pdf