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.
A multi-objective Gaussian mixture-based estimation of distribution algorithm for structural design optimization
2026 Siviero, Mattia; Melchiorre, Jonathan; Rosso, Marco M.; Cirrincione, Giansalvo; Marano, Giuseppe C.
Dual-Branch Fusion Neural Network Model: A Preliminary Demonstration of Absolute, Calibration-Free Blood Pressure Estimation from ECG and PPG Signals
2026 Delrio, Federico; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros
Multi-objective Multi-layer Perceptron Architecture Optimization for Rapid Post-earthquake Damage Evaluation
2025 Rosso, M. M.; Aloisio, A.; De Leo, A. M.; Basi, M.; Cirrincione, G.; Marano, G. C.
A Comparison of Univariate Methods for Day-Ahead Short-Term Load Forecasting
2024 Ghione, G.; Judge, M. A.; Badami, M.; Pasero, E.; Franzitta, V.; Cirrincione, G.
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.
1-D Convolutional Neural Network for ECG Arrhythmia Classification
2021 Ferretti, Jacopo; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros
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.
| 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). (WIRN - Italian Workshop on Neural Networks Vietri sul Mare 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). (WIRN 2018 - Italian Workshop on Neural Networks Vietri sul Mare 13-15 giugno 2018). | In corso di stampa | Ciravegna G.Cirrincione G.Piccolo E. + | - |
| A multi-objective Gaussian mixture-based estimation of distribution algorithm for structural design optimization / Siviero, M., Melchiorre, J., Rosso, M.M., Cirrincione, G., Marano, G.C.. - In: APPLIED SOFT COMPUTING. - ISSN 1568-4946. - ELETTRONICO. - 201:(2026), pp. 1-37. [10.1016/j.asoc.2026.115610] | 1-gen-2026 | Siviero, MattiaMelchiorre, JonathanRosso, Marco M.Cirrincione, GiansalvoMarano, Giuseppe C. | A multi-objective Gaussian mixture-based estimation of distribution algorithm for structural design optimization.pdf |
| Dual-Branch Fusion Neural Network Model: A Preliminary Demonstration of Absolute, Calibration-Free Blood Pressure Estimation from ECG and PPG Signals / Delrio, F., Randazzo, V., Cirrincione, G., Pasero, E. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Neural Networks: Overview of Current Theories and ApplicationsSTAMPA. - [s.l] : Springer Nature, 2026. - ISBN 9789819540716. - pp. 41-50 [10.1007/978-981-95-4072-3_4] | 1-gen-2026 | Delrio, FedericoRandazzo, VincenzoCirrincione, GiansalvoPasero, Eros | 2026_bookExtracted_WIRN2024_ABP estimation_Delrio.pdf; WIRN_2024___Absolute_Blood_Pressure_Prediction_With_Wide_Space_Time_Neural_Network.pdf |
| Multi-objective Multi-layer Perceptron Architecture Optimization for Rapid Post-earthquake Damage Evaluation / Rosso, M.M., Aloisio, A., De Leo, A.M., Basi, M., Cirrincione, G., Marano, G.C. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Advanced Neural Artificial Intelligence: Theories and Applications[s.l] : Springer, 2025. - ISBN 9789819609932. - pp. 95-105 [10.1007/978-981-96-0994-9_9] | 1-gen-2025 | Rosso M. M.Cirrincione G.Marano G. C. + | wirn_2023_Rosso_et_al_aedes_school.pdf; WIRN_2023_Multiobj_Optimization_MLP_Architecture_rev2 (1).pdf |
| A Comparison of Univariate Methods for Day-Ahead Short-Term Load Forecasting / Ghione, G., Judge, M.A., Badami, M., Pasero, E., Franzitta, V., Cirrincione, G.. - ELETTRONICO. - (2024), pp. 662-667. (22nd IEEE Mediterranean Electrotechnical Conference, MELECON 2024 Porto (Portugal) 25-27 June 2024) [10.1109/MELECON56669.2024.10608727]. | 1-gen-2024 | Ghione G.Badami M.Pasero E.Cirrincione G. + | A_Comparison_of_Univariate_Methods_for_Day-Ahead_Short-Term_Load_Forecasting.pdf |
| Compact Convolutional Transformer Fourier analysis for GPR tunnels assessment / Melchiorre, J., Rosso, M.M., Cirrincione, G., Marano, G.C.. - (2023). (International Conference on Control, Automation and Diagnosis (ICCAD) Roma, Italia 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. (3rd International Conference of International Society for Intelligent Construction, ISIC 2022 Guimarães (PRT) 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, M.M., Aloisio, A., Cirrincione, G., Marano, G.C.. - 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, G., Cannata, S., Cicceri, G., Prinzi, F., Currieri, T., Lovino, M., Militello, C., Pasero, E.G.A., Vitabile, S.. - 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. (8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022) Oslo (NO) 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, S., Paviglianiti, A., Pasero, E., Cirrincione, G., Cirrincione, M.. - 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, G., Rosso, M.M., Aiello, S., Aloisio, A., Cirrincione, G., Chiaia, B., Marano, G.C.. - 1600:(2022), pp. 165-176. (23th International Conference on Engineering Applications of Neural Networks (Engineering Applications and Advances of Artificial Intelligence) Crete, Greece 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, M.M., Cucuzza, R., Marano, G.C., Aloisio, A., Cirrincione, G.. - ELETTRONICO. - (2022). (Eleventh International Conference on Bridge Maintenance, Safety and Management (IABMAS 2022) Barcelona (ESP) 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. (2022 25th International Conference on Electrical Machines and Systems (ICEMS) Chiang Mai, Thailand 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 |
| 1-D Convolutional Neural Network for ECG Arrhythmia Classification / Ferretti, J., Randazzo, V., Cirrincione, G., Pasero, E. (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 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 |