Sfoglia per Autore
The on-line curvilinear component analysis (onCCA) for real-time data reduction
2015 Cirrincione, G.; Hérault, J.; Randazzo, V.
Neural Biclustering in Gene Expression Analysis
2017 Barbiero, P.; Bertotti, A.; Ciravegna, G.; Cirrincione, G.; Piccolo, E.
Analysis of stator faults in induction machines using growing curvilinear component analysis
2017 Kumar, R. R.; Randazzo, V.; Cirrincione, G.; Cirrincione, M.; Pasero, E.
Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data
2017 Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, EROS GIAN ALESSANDRO
Nonstationary topological learning with bridges and convex polytopes: The G-EXIN neural network
2018 Randazzo, Vincenzo; Cirrincione, Giansalvo; Ciravegna, Gabriele; Pasero, Eros
Power Switch Open-Circuit Fault Detection in an Interleaved DC/DC Buck Converter for Electrolyzer Applications by Using Curvilinear Component Analysis
2018 Cirrincione, G.; Cirrincione, M.; Guilbert, D.; Mohammadi, A.; Randazzo, V.
Supervised gene identification in colorectal cancer
2019 Barbiero, P.; Bertotti, A.; Ciravegna, G.; Cirrincione, G.; Pasero, E; Piccolo, E.
Unsupervised gene identification in colorectal cancer
2019 Barbiero, P.; Bertotti, A.; Ciravegna, Gabriele; Cirrincione, G.; Pasero, E.; Piccolo, E.
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
Assessing Discriminating Capability of Geometrical Descriptors for 3D Face Recognition by Using the GH-EXIN Neural Network
2019 Ciravegna, G.; Cirrincione, G.; Marcolin, F.; Barbiero, P.; Dagnes, N.; Piccolo, E.
Double Channel Neural Non Invasive Blood Pressure Prediction
2020 Paviglianiti, A.; Randazzo, V.; Cirrincione, G.; Pasero, E.
Neural feature extraction for the analysis of Parkinsonian patient handwriting
2020 Randazzo, Vincenzo; Cirrincione, Giansalvo; Paviglianiti, Annunziata; Pasero, Eros; Morabito, FRANCESCO CARLO
Shallow Neural Network for Biometrics from the ECG-WATCH
2020 Randazzo, V.; Cirrincione, G.; Pasero, E.
Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network
2020 Barbiero, Pietro; Lovino, Marta; Siviero, Mattia; Ciravegna, Gabriele; Randazzo, Vincenzo; Ficarra, Elisa; Cirrincione, Giansalvo
Multi-omics classification on kidney samples exploiting uncertainty-aware models
2020 Lovino, Marta; Bontempo, Gianpaolo; Cirrincione, Giansalvo; Ficarra, Elisa
Neural Epistemology in Dynamical System Learning
2020 Barbiero, P.; Cirrincione, G.; Cirrincione, M.; Piccolo, E.; Vaccarino, F.
The GH-EXIN neural network for hierarchical clustering
2020 Cirrincione, G.; Ciravegna, G.; Barbiero, P.; Randazzo, V.; Pasero, E.
Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines
2020 Cirrincione, Giansalvo; Randazzo, Vincenzo; Kumar, Rahul R.; Cirrincione, Maurizio; Pasero, Eros
A Neural Based Comparative Analysis for Feature Extraction from ECG Signals
2020 Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, Eros
Towards Uncovering Feature Extraction from Temporal Signals in Deep CNN: The ECG Case Study
2020 Ferretti, J.; Barbiero, P.; Randazzo, V.; Cirrincione, G.; Pasero, E.
Citazione | Data di pubblicazione | Autori | File |
---|---|---|---|
The on-line curvilinear component analysis (onCCA) for real-time data reduction / Cirrincione, G.; Hérault, J.; Randazzo, V.. - 2015-:(2015), pp. 1-8. (Intervento presentato al convegno International Joint Conference on Neural Networks, IJCNN 2015 tenutosi a irl nel 2015) [10.1109/IJCNN.2015.7280318]. | 1-gen-2015 | Cirrincione, G.Randazzo, V. + | - |
Neural Biclustering in Gene Expression Analysis / Barbiero, P.; Bertotti, A.; Ciravegna, G.; Cirrincione, G.; Piccolo, E.. - ELETTRONICO. - (2017), pp. 1238-1243. (Intervento presentato al convegno 2017 International Conference on Computational Science and Computational Intelligence (CSCI) tenutosi a Las Vegas (USA) nel 14-16 December 2017) [10.1109/CSCI.2017.361]. | 1-gen-2017 | Ciravegna G.Cirrincione G.Piccolo E. + | 07_Neural Biclustering in Gene Expression Analysis.pdf; Neural_Biclustering_in_Gene_Expression_Analysis.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. + | - |
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 |
Nonstationary topological learning with bridges and convex polytopes: The G-EXIN neural network / Randazzo, Vincenzo; Cirrincione, Giansalvo; Ciravegna, Gabriele; Pasero, Eros. - ELETTRONICO. - 2018-:(2018), pp. 1-6. (Intervento presentato al convegno 2018 International Joint Conference on Neural Networks, IJCNN 2018 tenutosi a Rio de Janeiro(Bra) nel 8-13 July 2018) [10.1109/IJCNN.2018.8489186]. | 1-gen-2018 | Randazzo, VincenzoCirrincione, GiansalvoCiravegna, GabrielePasero, Eros | - |
Power Switch Open-Circuit Fault Detection in an Interleaved DC/DC Buck Converter for Electrolyzer Applications by Using Curvilinear Component Analysis / Cirrincione, G.; Cirrincione, M.; Guilbert, D.; Mohammadi, A.; Randazzo, V.. - ELETTRONICO. - (2018), pp. 2221-2225. (Intervento presentato al convegno 2018 21st International Conference on Electrical Machines and Systems (ICEMS) tenutosi a Jeju (South Korea) nel 7-10 Oct. 2018) [10.23919/ICEMS.2018.8549112]. | 1-gen-2018 | Cirrincione, G.Randazzo, V. + | - |
Supervised gene identification in colorectal cancer / Barbiero, P.; Bertotti, A.; Ciravegna, G.; Cirrincione, G.; Pasero, E; Piccolo, E.. - ELETTRONICO. - 103:(2019), pp. 243-251. (Intervento presentato al convegno WIRN - Italian Workshop on Neural Networks tenutosi a Vietri sul Mare nel 14-16 giugno 2017) [10.1007/978-3-319-95095-2_23]. | 1-gen-2019 | Ciravegna G.Cirrincione G.Pasero EPiccolo E. + | Wirn42- Supervised Gene Identification in Colorectal Cancer.pdf |
Unsupervised gene identification in colorectal cancer / Barbiero, P.; Bertotti, A.; Ciravegna, Gabriele; Cirrincione, G.; Pasero, E.; Piccolo, E.. - (2019), pp. 219-227. (Intervento presentato al convegno WIRN - Italian Workshop on Neural Networks tenutosi a Vietri sul Mare nel 14-16 giugno 2017) [10.1007/978-3-319-95095-2_21]. | 1-gen-2019 | CIRAVEGNA, GABRIELECirrincione G.Pasero E.Piccolo E. + | Unsupervised Gene Identification in Colorectal Cancer.pdf |
Non-linear Autoregressive Neural Networks to Forecast Short-Term Solar Radiation for Photovoltaic Energy Predictions / Aliberti, Alessandro; Bottaccioli, Lorenzo; Cirrincione, Giansalvo; Macii, Enrico; Acquaviva, Andrea; Patti, Edoardo (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 |
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. + | - |
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.pdf; v5_revisedAndsubmitted.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 |
Shallow Neural Network for Biometrics from the ECG-WATCH / Randazzo, V.; Cirrincione, G.; Pasero, E.. - ELETTRONICO. - 12463:(2020), pp. 259-269. (Intervento presentato al convegno 16th International Conference on Intelligent Computing, ICIC 2020 tenutosi a ita nel 2020) [10.1007/978-3-030-60799-9_22]. | 1-gen-2020 | Randazzo V.Cirrincione G.Pasero E. | NeuralBiometricECGWatch.pdf; Shallow neural network for biometrics from the ECG-WATCH_cameraReady.pdf; bookExtracted_Shallow neural network for biometrics from the ECG-WATCH.pdf |
Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network / Barbiero, Pietro; Lovino, Marta; Siviero, Mattia; Ciravegna, Gabriele; Randazzo, Vincenzo; Ficarra, Elisa; Cirrincione, Giansalvo. - ELETTRONICO. - 12463:(2020), pp. 172-182. (Intervento presentato al convegno 16th International Conference on Intelligent Computing, ICIC 2020 tenutosi a Bari (ita) nel Ottobre 2020) [10.1007/978-3-030-60799-9_15]. | 1-gen-2020 | Marta LovinoGabriele CiravegnaVincenzo RandazzoElisa FicarraGiansalvo Cirrincione + | ICIC_2020_barbiero_Lovino.pdf; bookExtracted_Unsupervised Multi-omic Data Fusion.pdf; Neural Graph Learning for Multi-Omic Data Fusion_4_cameraReady.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.pdf; Lovino2020_Chapter_Multi-omicsClassificationOnKid.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 |
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.pdf; GH_EXIN__Growing_Neural_Network_for_Hierarchical_Clustering_revisionSubmitted.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 |
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 |
Towards Uncovering Feature Extraction from Temporal Signals in Deep CNN: The ECG Case Study / Ferretti, J.; Barbiero, P.; Randazzo, V.; Cirrincione, G.; Pasero, E.. - ELETTRONICO. - (2020), pp. 1-7. (Intervento presentato al convegno 2020 International Joint Conference on Neural Networks, IJCNN 2020 tenutosi a gbr nel 2020) [10.1109/IJCNN48605.2020.9207360]. | 1-gen-2020 | Ferretti J.Randazzo V.Cirrincione G.Pasero E. + | Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN_the ECG Case Study.pdf; 1D_CNN_Feature_Correlation_v4_submitted.pdf |
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