CIRRINCIONE, GIANSALVO

CIRRINCIONE, GIANSALVO  

Dipartimento di Elettronica e Telecomunicazioni  

018639  

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Risultati 1 - 20 di 38 (tempo di esecuzione: 0.031 secondi).
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.pdfCompact_Convolutional_Transformer_Fourier_analysis_for_GPR_tunnels_assessment.pdf
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.pdfStructures_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 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.pdfCannata_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.pdfMarasco-Rosso-etal_EANN2022.pdf
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.pdfPaper ID - 1570816545_postPrint.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 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.pdfBookExctracted_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.pdfN-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.pdfWirn2019_ECG_DeepLearning_v5_final.pdfbookExtracted_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.pdfbookExtracted_A Neural Based Comparative Analysis for Feature Extraction from ECG Signals.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.pdfv5_revisedAndsubmitted.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.pdfbookExtracted_Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines.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