Archivio Istituzionale della RicercaCIRRINCIONE, GIANSALVO
CIRRINCIONE, GIANSALVO
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Risultati 1 - 11 di 11 (tempo di esecuzione: 0.023 secondi).
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 new unsupervised neural approach to stationary and non-stationary data
2021 Randazzo, V.; Cirrincione, G.; Pasero, E.
1-D Convolutional Neural Network for ECG Arrhythmia Classification
2020 Ferretti, Jacopo; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros
A Neural Based Comparative Analysis for Feature Extraction from ECG Signals
2020 Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, Eros
Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines
2020 Cirrincione, Giansalvo; Randazzo, Vincenzo; Kumar, Rahul R.; Cirrincione, Maurizio; Pasero, Eros
Neural Epistemology in Dynamical System Learning
2020 Barbiero, P.; Cirrincione, G.; Cirrincione, M.; Piccolo, E.; Vaccarino, F.
Neural feature extraction for the analysis of Parkinsonian patient handwriting
2020 Randazzo, Vincenzo; Cirrincione, Giansalvo; Paviglianiti, Annunziata; Pasero, Eros; Morabito, FRANCESCO CARLO
Understanding Cancer Phenomenon at Gene Expression Level by using a Shallow Neural Network Chain
2020 Barbiero, P.; Bertotti, A.; Ciravegna, G.; Cirrincione, G.; Piccolo, E.; Tonda, A.
Non-linear Autoregressive Neural Networks to Forecast Short-Term Solar Radiation for Photovoltaic Energy Predictions
2019 Aliberti, Alessandro; Bottaccioli, Lorenzo; Cirrincione, Giansalvo; Macii, Enrico; Acquaviva, Andrea; Patti, Edoardo
Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data
2017 Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, EROS GIAN ALESSANDRO
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Dual-Branch Fusion Neural Network Model: A Preliminary Demonstration of Absolute, Calibration-Free Blood Pressure Estimation from ECG and PPG Signals / Delrio, Federico; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros (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 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 |
| 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, 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.pdf; Wirn2019_ECG_DeepLearning_v5_final.pdf; bookExtracted_1-D Convolutional Neural Network for ECG Arrhythmia Classification.pdf |
| A Neural Based Comparative Analysis for Feature Extraction from ECG Signals / Cirrincione, G., Randazzo, V., Pasero, E. (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 |
| Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines / Cirrincione, G., Randazzo, V., Kumar, R.R., Cirrincione, M., Pasero, E. (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 |
| 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 |
| Neural feature extraction for the analysis of Parkinsonian patient handwriting / Randazzo, V., Cirrincione, G., Paviglianiti, A., Pasero, E., Morabito, F.C. (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. 243-253 [10.1007/978-981-15-5093-5_23] | 1-gen-2020 | Vincenzo RandazzoGiansalvo CirrincionePAVIGLIANITI, ANNUNZIATAEros Pasero + | Neural feature extraction for the analysis of Parkinsonian patient handwriting_v7.pdf; Neural feature extraction for the analysis of Parkinsonian patient handwriting_v9_revised.pdf; bookExtracted_Neural feature extraction for the analysis of Parkinsonian patient handwriting.pdf |
| Understanding Cancer Phenomenon at Gene Expression Level by using a Shallow Neural Network Chain / Barbiero, P., Bertotti, A., Ciravegna, G., Cirrincione, G., Piccolo, E., Tonda, A. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Neural Approaches to Dynamics of Signal Exchanges / Esposito A., Faundez-Zanuy M., Morabito F.C., Pasero E.. - Singapore : Springer, 2020. - ISBN 978-981-13-8949-8. - pp. 281-290 [10.1007/978-981-13-8950-4_26] | 1-gen-2020 | Ciravegna G.Cirrincione G.Piccolo E.Tonda A. + | 978-981-13-8950-4_26.pdf |
| Non-linear Autoregressive Neural Networks to Forecast Short-Term Solar Radiation for Photovoltaic Energy Predictions / Aliberti, A., Bottaccioli, L., Cirrincione, G., Macii, E., Acquaviva, A., Patti, E. (COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE). - In: Smart Cities, Green Technologies and Intelligent Transport Systems / Donnellan B., Klein C., Helfert M., Gusikhin O., Pascoal A.. - [s.l] : Springer, 2019. - ISBN 978-3-030-26632-5. - pp. 3-22 [10.1007/978-3-030-26633-2_1] | 1-gen-2019 | Aliberti, AlessandroBottaccioli, LorenzoCirrincione, GiansalvoMacii, EnricoAcquaviva, AndreaPatti, Edoardo | main.pdf; versione_editoriale.pdf |
| Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data / Cirrincione, G., Randazzo, V., Pasero, E.G.A. (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 |