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A Machine Learning-Based Approach for Evaluating Concrete Mix Design Properties
2025 Anerdi, Costanza; Melchiorre, Jonathan; Randazzo, Vincenzo; Marano, Giuseppe C.
Comparison of LSTM-Based Models for the 6-Hour-Ahead and Day-Ahead Forecasting of Photovoltaic Power Generation
2025 Ghione, G.; Randazzo, V.; Pasero, E.; Badami, M.
ECG Images Analysis for the Prediction of Fatal Arrhythmic Events in Patients with Brugada Syndrome Based on a Vision Transformer Model
2025 Caligari, S.; Randazzo, V.; Giustetto, C.; Gaita, F.; Pasero, E.
Enhancing ECG Analysis with a Hybrid Deep Learning Approach: Automatic Detection of Significant Features
2025 Delrio, F.; De Vitis, V.; Caligari, S.; Randazzo, V.; Cirrincione, G.; Pasero, E.
Dual Deep Clustering
2023 Cirrincione, G.; Randazzo, V.; Barbiero, P.; Ciravegna, G.; Pasero, E.
Learning-Based Approach to Predict Fatal Events in Brugada Syndrome
2023 Randazzo, V.; Marchetti, G.; Giustetto, C.; Gugliermina, E.; Kumar, R.; Cirrincione, G.; Gaita, F.; Pasero, E.
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 feature extraction for the analysis of Parkinsonian patient handwriting
2020 Randazzo, Vincenzo; Cirrincione, Giansalvo; Paviglianiti, Annunziata; Pasero, Eros; Morabito, FRANCESCO CARLO
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 |
|---|---|---|---|
| A Machine Learning-Based Approach for Evaluating Concrete Mix Design Properties / Anerdi, Costanza; Melchiorre, Jonathan; Randazzo, Vincenzo; Marano, Giuseppe C. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Advanced Neural Artificial Intelligence: Theories and Applications[s.l] : Springer, 2025. - ISBN 9789819609932. - pp. 235-244 [10.1007/978-981-96-0994-9_22] | 1-gen-2025 | Costanza AnerdiJonathan MelchiorreVincenzo RandazzoGiuseppe C. Marano | WIRN2023___A_Machine_Learning_Based_Approach_for_Evaluating_Concrete_Mix_Design_Properties__FULL_PAPER_.pdf |
| Comparison of LSTM-Based Models for the 6-Hour-Ahead and Day-Ahead Forecasting of Photovoltaic Power Generation / Ghione, G.; Randazzo, V.; Pasero, E.; Badami, M. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Smart Innovation, Systems and Technologies / Esposito A., Faundez-Zanuy M., Morabito F. C., Pasero E., Cordasco G.. - STAMPA. - Singapore : Springer Nature, 2025. - ISBN 9789819609932. - pp. 45-54 [10.1007/978-981-96-0994-9_5] | 1-gen-2025 | Ghione G.Randazzo V.Pasero E.Badami M. | 2025_bookExtracted_WIRN2023_Comparison of LSTM-Based Models_Ghione.pdf; 2023_WIRN_PVPF_CameraReady_ReviewCorrections.pdf |
| ECG Images Analysis for the Prediction of Fatal Arrhythmic Events in Patients with Brugada Syndrome Based on a Vision Transformer Model / Caligari, S.; Randazzo, V.; Giustetto, C.; Gaita, F.; Pasero, E. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Advanced Neural Artificial Intelligence: Theories and Applications / Esposito A., Faundez-Zanuy M., Morabito F. C., Pasero E., Cordasco G.. - STAMPA. - Singapore : Springer, 2025. - ISBN 9789819609932. - pp. 13-22 [10.1007/978-981-96-0994-9_2] | 1-gen-2025 | Caligari S.Randazzo V.Pasero E. + | 2025_bookExtracted_WIRN2023_Brugada_Caligari.pdf; WIRN2023_paper_16_postPrint_v2.pdf |
| Enhancing ECG Analysis with a Hybrid Deep Learning Approach: Automatic Detection of Significant Features / Delrio, F.; De Vitis, V.; Caligari, S.; Randazzo, V.; Cirrincione, G.; Pasero, E. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Smart Innovation, Systems and Technologies / Esposito A., Faundez-Zanuy M., Morabito F. C., Pasero E., Cordasco G.. - STAMPA. - Singapore : Springer Nature, 2025. - ISBN 9789819609932. - pp. 23-33 [10.1007/978-981-96-0994-9_3] | 1-gen-2025 | Delrio F.De Vitis V.Caligari S.Randazzo V.Pasero E. + | 2025_bookExtracted_WIRN2023_ECG features extraction_Tesi_DeVitis.pdf; WIRN2023_paper_20_postPrint.pdf |
| Dual Deep Clustering / Cirrincione, G.; Randazzo, V.; Barbiero, P.; Ciravegna, G.; Pasero, E. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Applications of Artificial Intelligence and Neural Systems to Data Science / Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero. - STAMPA. - [s.l] : Springer, 2023. - ISBN 978-981-99-3591-8. - pp. 51-62 [10.1007/978-981-99-3592-5_5] | 1-gen-2023 | Randazzo V.Ciravegna G.Pasero E. + | bookExtracted_Dual Deep Clustering.pdf; WIRN_2022___Dual_deep_clustering_v4_authorPostPrint.pdf |
| Learning-Based Approach to Predict Fatal Events in Brugada Syndrome / Randazzo, V.; Marchetti, G.; Giustetto, C.; Gugliermina, E.; Kumar, R.; Cirrincione, G.; Gaita, F.; Pasero, E. (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Applications of Artificial Intelligence and Neural Systems to Data Science / Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero. - STAMPA. - [s.l] : Springer, 2023. - ISBN 978-981-99-3591-8. - pp. 63-72 [10.1007/978-981-99-3592-5_6] | 1-gen-2023 | Randazzo V.Marchetti G.Pasero E. + | bookExtracted_Learning-Based Approach to Predict Fatal Events in Brugada Syndrome.pdf; Learning-based approach to predict fatal events in Brugada Syndrome_turnitin.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, 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.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, 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 |
| 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 |
| Neural feature extraction for the analysis of Parkinsonian patient handwriting / Randazzo, Vincenzo; Cirrincione, Giansalvo; Paviglianiti, Annunziata; Pasero, Eros; Morabito, FRANCESCO CARLO (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 |
| 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 |