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ROMEO, LUCA  

Dipartimento di Economia e diritto  

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Titolo Data di pubblicazione Autore(i) File
A Clinical Decision Support System to Stratify the Temporal Risk of Diabetic Retinopathy 1-gen-2021 Bernardini, M.; Romeo, L.; Mancini, A.; Frontoni, E. -
A decision support system for diabetes chronic care models based on general practitioner engagement and ehr data sharing 1-gen-2020 Frontoni, E.; Romeo, L.; Bernardini, M.; Moccia, S.; Migliorelli, L.; Paolanti, M.; Ferri, A.; Misericordia, P.; Mancini, A.; Zingaretti, P. _Rev__A_Decision_Support_System_for_Diabetes_Cronic_Care_Models_based_on_General_Practitioner_engagement_and_EHR_data_sharing.pdf
A Hidden Semi-Markov Model based Approach for Rehabilitation Exercise Assessment 1-gen-2018 Capecci, Marianna; Ceravolo, Maria Gabriella; Ferracuti, Francesco; Iarlori, Sabrina; Kyrki, Ville; Monteriù, Andrea; Romeo, Luca; Verdini, Federica 1-s2.0-S1532046417302824-main.pdf
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data 1-gen-2023 Manuel Vargas, Víctor; Rosati, Riccardo; Hervás-Martínez, César; Mancini, Adriano; Romeo, Luca; Antonio Gutiérrez, Pedro A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data.pdf
A novel deep ordinal classification approach for aesthetic quality control classification 1-gen-2022 Rosati, Riccardo; Romeo, Luca; Vargas, Víctor Manuel; Gutiérrez, Pedro Antonio; Hervás-Martínez, César; Frontoni, Emanuele A novel deep ordinal classification approach for aesthetic quality control classification.pdf
A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets 1-gen-2023 Bernardini, M.; Doinychko, A.; Romeo, L.; Frontoni, E.; Amini, M. -R. -
A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution 1-gen-2021 Bernardini, M.; Romeo, L.; Frontoni, E.; Amini, M. A_Semi-Supervised_Multi-Task_Learning_Approach_for_Predicting_Short-Term_Kidney_Disease_Evolution.pdf
A sequential deep learning application for recognising human activities in smart homes 1-gen-2020 Liciotti, D.; Bernardini, M.; Romeo, L.; Frontoni, E. A-sequential-deep-learning-application-for-recognising-human-activities-in-smart-homes2020Neurocomputing.pdf
A Smart Sensing Architecture for Domestic Monitoring: Methodological Approach and Experimental Validation 1-gen-2018 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 sensors-18-02310.pdf
A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign 1-gen-2022 Romeo, L.; Frontoni, E. A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign.pdf
Algor-ethics: charting the ethical path for AI in critical care 1-gen-2024 Montomoli, J.; Bitondo, M. M.; Cascella, M.; Rezoagli, E.; Romeo, L.; Bellini, V.; Semeraro, F.; Gamberini, E.; Frontoni, E.; Agnoletti, V.; Altini, M.; Benanti, P.; Bignami, E. G. s10877-024-01157-y.pdf
An instrumental approach for monitoring physical exercises in a visual markerless scenario: A proof of concept 1-gen-2018 Capecci, Marianna; Ceravolo, Maria Gabriella; Ferracuti, Francesco; Grugnetti, Martina; Iarlori, Sabrina; Longhi, Sauro; Romeo, Luca; Verdini, Federica Capecci_j.jbiomech.2018.01.008.pdf
Collaborative design of a telerehabilitation system enabling virtual second opinion based on fuzzy logic 1-gen-2018 Capecci, Marianna; Ciabattoni, L.; Ferracuti, Francesco; Monteriù, Andrea; Romeo, Luca; Verdini, Federica IET Computer Vision Volume 12 issue 4 2018 [doi 10.1049_iet-cvi.2017.0114] Capecci, Marianna.pdf
Decoding social decisions from movement kinematics 1-gen-2022 Turri, Giacomo; Cavallo, Andrea; Romeo, Luca; Pontil, Massimiliano; Sanfey, Alan; Panzeri, Stefano; Becchio, Cristina -
Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment 1-gen-2023 Manuel Vargas, Víctor; Antonio Gutiérre, Pedro; Rosati, Riccardo; Romeo, Luca; Frontoni, Emanuele; Hervás-Martínez, César Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment.pdf
Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse Balanced Support Vector Machine 1-gen-2019 Bernardini, Michele; Romeo, Luca; Misericordia, Paolo; Frontoni, Emanuele Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine.pdf
Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach 1-gen-2020 Bernardini, M.; Morettini, M.; Romeo, L.; Frontoni, E.; Burattini, L. Early-temporal-prediction-of-Type-2-Diabetes-Risk-Condition-from-a-General-Practitioner-Electronic-Health-Record-A-Multiple-Instance-Boosting-Approach2020Artificial-Intelligence-in-Medicine.pdf
Enhancing copy-move forgery detection through a novel CNN architecture and comprehensive dataset analysis 1-gen-2024 Kuznetsov, O.; Frontoni, E.; Romeo, L.; Rosati, R. -
Evaluation of Unimodal and Multimodal Communication Cues for Attracting Attention in Human–Robot Interaction 1-gen-2014 Torta, Elena; van Heumen, Jim; Piunti, Francesco; Romeo, Luca; Cuijpers, Raymond -
Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment 1-gen-2023 Manuel Vargas, Víctor; Antonio Gutiérrez, Pedro; Rosati, Riccardo; Romeo, Luca; Frontoni, Emanuele; Hervás-Martínez, César Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment.pdf