ROMEO, LUCA Statistiche
ROMEO, LUCA
Dipartimento di Economia e diritto
3D Human Pose Estimation Based on Multi-Input Multi-Output Convolutional Neural Network and Event Cameras: A Proof of Concept on the DHP19 Dataset
2021-01-01 Manilii, A.; Lucarelli, L.; Rosati, R.; Romeo, L.; Mancini, A.; Frontoni, E.
A Clinical Decision Support System to Stratify the Temporal Risk of Diabetic Retinopathy
2021-01-01 Bernardini, M.; Romeo, L.; Mancini, A.; Frontoni, E.
A Cloud-Based Healthcare Infrastructure for Neonatal Intensive-Care Units
2019-01-01 Migliorelli, Lucia; Cenci, Annalisa; Bernardini, Michele; Romeo, Luca; Moccia, Sara; Zingaretti, Primo
A decision support system for diabetes chronic care models based on general practitioner engagement and ehr data sharing
2020-01-01 Frontoni, E.; Romeo, L.; Bernardini, M.; Moccia, S.; Migliorelli, L.; Paolanti, M.; Ferri, A.; Misericordia, P.; Mancini, A.; Zingaretti, P.
A Deep Learning-Based Approach for Automatic Leather Classification in Industry 4.0
2021-01-01 Pazzaglia, G.; Martini, M.; Rosati, R.; Romeo, L.; Frontoni, E.
A Hidden Semi-Markov Model based Approach for Rehabilitation Exercise Assessment
2018-01-01 Capecci, Marianna; Ceravolo, Maria Gabriella; Ferracuti, Francesco; Iarlori, Sabrina; Kyrki, Ville; Monteriù, Andrea; Romeo, Luca; Verdini, Federica
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
2023-01-01 Manuel Vargas, Víctor; Rosati, Riccardo; Hervás-Martínez, César; Mancini, Adriano; Romeo, Luca; Antonio Gutiérrez, Pedro
A novel computer vision based e-rehabilitation system: From gaming to therapy support
2016-01-01 Ciabattoni, Lucio; Ferracuti, Francesco; Iarlori, Sabrina; Longhi, Sauro; Romeo, Luca
A novel deep ordinal classification approach for aesthetic quality control classification
2022-01-01 Rosati, Riccardo; Romeo, Luca; Vargas, Víctor Manuel; Gutiérrez, Pedro Antonio; Hervás-Martínez, César; Frontoni, Emanuele
A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets
2023-01-01 Bernardini, M.; Doinychko, A.; Romeo, L.; Frontoni, E.; Amini, M. -R.
A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study
2020-01-01 Romeo, Luca; Armentano, Giuseppe; Nicolucci, Antonio; Vespasiani, Marco; Vespasiani, Giacomo; Frontoni, Emanuele
A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution
2021-01-01 Bernardini, M.; Romeo, L.; Frontoni, E.; Amini, M.
A sensor fusion approach for measuring emotional customer experience in an intelligent retail environment
2017-01-01 Ciabattoni, L.; Frontoni, E.; Liciotti, D.; Paolanti, M.; Romeo, L.
A sequential deep learning application for recognising human activities in smart homes
2019-01-01 Liciotti, D.; Bernardini, M.; Romeo, L.; Frontoni, E.
A Smart Sensing Architecture for Domestic Monitoring: Methodological Approach and Experimental Validation
2018-01-01 Monteriù, Andrea; Prist, Mario; Frontoni, Emanuele; Longhi, Sauro; Pietroni, Filippo; Casaccia, Sara; Scalise, Lorenzo; Cenci, Annalisa; Romeo, Luca; Berta, Riccardo; Pescosolido, Loreto; Orlandi, Gianni; Revel, Gian
A tool for home-based rehabilitation allowing for clinical evaluation in a visual markerless scenario
2015-01-01 Capecci, Marianna; Ceravolo, MARIA GABRIELLA; D'Orazio, F.; Ferracuti, F.; Iarlori, S.; Lazzaro, G.; Longhi, Sauro; Romeo, L.; Verdini, Federica
A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign
2022-01-01 Romeo, L.; Frontoni, E.
Accelerating Innovation and Entrepreneurial Excellence in Higher Education Institutes
2022-01-01 Spigarelli, Francesca; Frontoni, Emanuele; Giovanola, Benedetta; Bartolacelli, Alessio; Sernani, Paolo; Villamena, Stefano; Paolanti, Marina; Compagnucci, Lorenzo; Romeo, Luca; Busilacchi, Gianluca; Bartolacci, Francesca; Lepore, Dominique
Accordo di collaborazione per contratto di ricerca di durata 12 mesi. L’incarico da svolgere riguarda l’attività di ricerca sulla modellazione tramite approcci di Machine Learning dei flussi di prodotti a scaffale nel contesto della analisi automatica e delle previsioni di eventi di rottura di stock nel settore retail e più in particolare nel Fast Moving Consumer Goods (FMCS).
2022-01-01 Romeo, Luca
Accuracy evaluation of the Kinect v2 sensor during dynamic movements in a rehabilitation scenario
2016-01-01 Capecci, Marianna; Ceravolo, Maria Gabriella; Ferracuti, Francesco; Iarlori, Sabrina; Longhi, Sauro; Romeo, Luca; Russi, NICOLA SEVERINO; Verdini, Federica