PASERO, EROS GIAN ALESSANDRO
PASERO, EROS GIAN ALESSANDRO
Dipartimento di Elettronica e Telecomunicazioni
Pasero Eros; Eros Pasero; Pasero, E.; Pasero E.
001562
MULP: a Multi-Layer Perceptron application to long-term, out-of-sample time series prediction.
In corso di stampa Pasero, EROS GIAN ALESSANDRO; Raimondo, Giovanni; Ruffa, S.
Medicine 4.0: When New Technologies Work with Artificial Intelligence
2024 Pasero, Eros
Validation and traceability of miniaturized multi-parameter cluster radiosondes used for atmospheric observations
2024 Abdunabiev, Shahbozbek; Merlone, Andrea; Musacchio, Chiara; Paredes, Miryam; Pasero, Eros; Tordella, Daniela
Artificial Intelligence ECG Analysis in Patients with Short QT Syndrome to Predict Life-Threatening Arrhythmic Events
2023 Pasero, Eros; Gaita, Fiorenzo; Randazzo, Vincenzo; Meynet, Pierre; Cannata, Sergio; Maury, Philippe; Giustetto, Carla
Comparison of Genetic and Reinforcement Learning Algorithms for Energy Cogeneration Optimization
2023 Ghione, Giorgia; Randazzo, Vincenzo; Recchia, Alessandra; Pasero, Eros; Badami, Marco
Dual Deep Clustering
2023 Cirrincione, G.; Randazzo, V.; Barbiero, P.; Ciravegna, G.; Pasero, E.
Gradient-Based Competitive Learning: Theory
2023 Cirrincione, Giansalvo; Randazzo, Vincenzo; Barbiero, Pietro; Ciravegna, Gabriele; Pasero, Eros
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.
LoRa based remote expendable radiosonde network for environmental observations
2023 Abdunabiev, Shahbozbek; Pasero, EROS GIAN ALESSANDRO; Tordella, Daniela
Non-Invasive Arterial Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using a Conv1D-BiLSTM Neural Network
2023 Delrio, Federico; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros
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
Deep Learning algorithms for automatic COVID-19 detection on chest X-ray images
2022 Cannata, Sergio; Paviglianiti, Annunziata; Pasero, Eros; Cirrincione, Giansalvo; Cirrincione, Maurizio
Development and Validation of an Algorithm for the Digitization of ECG Paper Images
2022 Randazzo, V.; Puleo, E.; Paviglianiti, A.; Vallan, A.; Pasero, E.
External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients
2022 Alfieri, F.; Ancona, A.; Tripepi, G.; Randazzo, V.; Paviglianiti, A.; Pasero, E.; Vecchi, L.; Politi, C.; Cauda, V.; Fagugli, R. M.
Validation and traceability of multi-parameter miniaturized radiosondes for environmental observations
2022 Abdunabiev, Shahbozbek; Caporali, Andrea; Paredes, Miryam; Pasero, EROS GIAN ALESSANDRO; Merlone, Andrea; Musacchio, Chiara; Tordella, Daniela
A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction
2021 Paviglianiti, A.; Randazzo, V.; Villata, S.; Cirrincione, G.; Pasero, E.
A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients
2021 Alfieri, Francesca; Ancona, Andrea; Tripepi, Giovanni; Crosetto, Dario; Randazzo, Vincenzo; Paviglianiti, Annunziata; Pasero, Eros; Vecchi, Luigi; Cauda, Valentina; Fagugli, Riccardo Maria
A new unsupervised neural approach to stationary and non-stationary data
2021 Randazzo, V.; Cirrincione, G.; Pasero, E.
Anytime ecg monitoring through the use of a low-cost, user-friendly, wearable device
2021 Randazzo, V.; Ferretti, J.; 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 |
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MULP: a Multi-Layer Perceptron application to long-term, out-of-sample time series prediction / Pasero, EROS GIAN ALESSANDRO; Raimondo, Giovanni; Ruffa, S.. - In: INTERNATIONAL JOURNAL OF FORECASTING. - ISSN 0169-2070. - (In corso di stampa). | In corso di stampa | PASERO, EROS GIAN ALESSANDRORAIMONDO, Giovanni + | - |
Medicine 4.0: When New Technologies Work with Artificial Intelligence / Pasero, Eros. - In: IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE. - ISSN 1094-6969. - ELETTRONICO. - 27:1(2024), pp. 63-66. [10.1109/mim.2024.10423727] | 1-gen-2024 | Pasero, Eros | Pasero-Medicine4.0.pdf |
Validation and traceability of miniaturized multi-parameter cluster radiosondes used for atmospheric observations / Abdunabiev, Shahbozbek; Merlone, Andrea; Musacchio, Chiara; Paredes, Miryam; Pasero, Eros; Tordella, Daniela. - In: MEASUREMENT. - ISSN 0263-2241. - STAMPA. - 224:(2024), pp. 1-21. [10.1016/j.measurement.2023.113879] | 1-gen-2024 | Shahbozbek AbdunabievAndrea MerloneChiara MusacchioMiryam ParedesEros PaseroDaniela Tordella | 1-s2.0-S0263224123014434-main.pdf |
Artificial Intelligence ECG Analysis in Patients with Short QT Syndrome to Predict Life-Threatening Arrhythmic Events / Pasero, Eros; Gaita, Fiorenzo; Randazzo, Vincenzo; Meynet, Pierre; Cannata, Sergio; Maury, Philippe; Giustetto, Carla. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 23:21(2023). [10.3390/s23218900] | 1-gen-2023 | Pasero, ErosRandazzo, VincenzoCannata, Sergio + | sensors-23-08900-v2.pdf |
Comparison of Genetic and Reinforcement Learning Algorithms for Energy Cogeneration Optimization / Ghione, Giorgia; Randazzo, Vincenzo; Recchia, Alessandra; Pasero, Eros; Badami, Marco. - ELETTRONICO. - (2023), pp. 1-7. (Intervento presentato al convegno 2023 8th International Conference on Smart and Sustainable Technologies (SpliTech) tenutosi a Split/Bol (Croatia) nel 20-23 June 2023) [10.23919/SpliTech58164.2023.10193518]. | 1-gen-2023 | Ghione, GiorgiaRandazzo, VincenzoRecchia, AlessandraPasero, ErosBadami, Marco | COMPAR~1.PDF; 1570894786 final.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 |
Gradient-Based Competitive Learning: Theory / Cirrincione, Giansalvo; Randazzo, Vincenzo; Barbiero, Pietro; Ciravegna, Gabriele; Pasero, Eros. - In: COGNITIVE COMPUTATION. - ISSN 1866-9956. - ELETTRONICO. - (2023). [10.1007/s12559-023-10225-5] | 1-gen-2023 | Randazzo, VincenzoCiravegna, GabrielePasero, Eros + | s12559-023-10225-5.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 |
LoRa based remote expendable radiosonde network for environmental observations / Abdunabiev, Shahbozbek; Pasero, EROS GIAN ALESSANDRO; Tordella, Daniela. - ELETTRONICO. - (2023), pp. 78-83. (Intervento presentato al convegno 2023 IEEE INTERNATIONAL WORKSHOP ON Metrology for Industry 4.0 & IoT tenutosi a Brescia, Italy nel June 6-8, 2023) [10.1109/MetroInd4.0IoT57462.2023.10180026]. | 1-gen-2023 | Shahbozbek AbdunabievEros PaseroDaniela Tordella | 1570889897.pdf; LoRa based remote expendable radiosonde network for environmental observations.pdf |
Non-Invasive Arterial Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using a Conv1D-BiLSTM Neural Network / Delrio, Federico; Randazzo, Vincenzo; Cirrincione, Giansalvo; Pasero, Eros. - In: ENGINEERING PROCEEDINGS. - ISSN 2673-4591. - ELETTRONICO. - 39:(2023). [10.3390/engproc2023039078] | 1-gen-2023 | Federico DelrioVincenzo RandazzoEros Pasero + | engproc-39-00078.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 |
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.pdf; Cannata_Deep.pdf |
Development and Validation of an Algorithm for the Digitization of ECG Paper Images / Randazzo, V.; Puleo, E.; Paviglianiti, A.; Vallan, A.; Pasero, E.. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 22:19(2022), pp. 1-15. [10.3390/s22197138] | 1-gen-2022 | Randazzo V.Puleo E.Paviglianiti A.Vallan A.Pasero E. | sensors-22-07138-2 - Development and Validation of an Algorithm for the.pdf |
External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients / Alfieri, F.; Ancona, A.; Tripepi, G.; Randazzo, V.; Paviglianiti, A.; Pasero, E.; Vecchi, L.; Politi, C.; Cauda, V.; Fagugli, R. M.. - In: JN. JOURNAL OF NEPHROLOGY. - ISSN 1121-8428. - ELETTRONICO. - (2022). [10.1007/s40620-022-01335-8] | 1-gen-2022 | Alfieri F.Ancona A.Randazzo V.Paviglianiti A.Pasero E.Cauda V. + | Alfieri2022_Article_ExternalValidationOfADeep-lear.pdf |
Validation and traceability of multi-parameter miniaturized radiosondes for environmental observations / Abdunabiev, Shahbozbek; Caporali, Andrea; Paredes, Miryam; Pasero, EROS GIAN ALESSANDRO; Merlone, Andrea; Musacchio, Chiara; Tordella, Daniela. - ELETTRONICO. - 2022:(2022). (Intervento presentato al convegno The 2022 WMO Technical Conference on Meteorological and Environmental Instruments and Methods of Observation). | 1-gen-2022 | Shahbozbek AbdunabievEros PaseroDaniela Tordella + | - |
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 deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients / Alfieri, Francesca; Ancona, Andrea; Tripepi, Giovanni; Crosetto, Dario; Randazzo, Vincenzo; Paviglianiti, Annunziata; Pasero, Eros; Vecchi, Luigi; Cauda, Valentina; Fagugli, Riccardo Maria. - In: JN. JOURNAL OF NEPHROLOGY. - ISSN 1121-8428. - ELETTRONICO. - (2021). [10.1007/s40620-021-01046-6] | 1-gen-2021 | Alfieri, FrancescaAncona, AndreaRandazzo, VincenzoPaviglianiti, AnnunziataPasero, ErosCauda, Valentina + | Alfieri2021_Article_ADeep-learningModelToContinuou.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 |
Anytime ecg monitoring through the use of a low-cost, user-friendly, wearable device / Randazzo, V.; Ferretti, J.; Pasero, E.. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 21:18(2021). [10.3390/s21186036] | 1-gen-2021 | Randazzo V.Ferretti J.Pasero E. | sensors-21-06036.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 |