Publications by authors named "Luca Romeo"

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A machine learning algorithm for the prediction of complications incorporated in electronic medical records improves type 2 diabetes care.
Antonio Nicolucci, Giacomo Vespasiani, Domenico Mannino, Giuseppina T Russo, Giuseppe Lucisano, Luca Romeo

Diabetes Res Clin Pract· November 2025

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Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers.
Riccardo Rosati, Luca Romeo, Victor Manuel Vargas, Pedro Antonio Gutierrez, Emanuele Frontoni

IEEE Trans Neural Netw Learn Syst· March 2025

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Algor-ethics: charting the ethical path for AI in critical care.
Jonathan Montomoli, Maria Maddalena Bitondo, Marco Cascella, Emanuele Rezoagli, Luca Romeo

J Clin Monit Comput· August 2024

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Visuo-motor interference is modulated by task interactivity: A kinematic study.
Matilde Rocca, Lucia Maria Sacheli, Luca Romeo, Andrea Cavallo

Psychon Bull Rev· October 2023

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A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets.
Michele Bernardini, Anastasiia Doinychko, Luca Romeo, Emanuele Frontoni, Massih-Reza Amini

Comput Biol Med· September 2023

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Uncovering the potential of innovation ecosystems in the healthcare sector after the COVID-19 crisis.
Dominique Lepore, Emanuele Frontoni, Alessandra Micozzi, Sara Moccia, Luca Romeo

Health Policy· January 2023

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Decoding social decisions from movement kinematics.
Giacomo Turri, Andrea Cavallo, Luca Romeo, Massimiliano Pontil, Alan Sanfey

iScience· December 2022

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Prediction of complications of type 2 Diabetes: A Machine learning approach.
Antonio Nicolucci, Luca Romeo, Michele Bernardini, Marco Vespasiani, Maria Chiara Rossi

Diabetes Res Clin Pract· August 2022

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A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign.
Luca Romeo, Emanuele Frontoni

Pattern Recognit· January 2022

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A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution.
Michele Bernardini, Luca Romeo, Emanuele Frontoni, Massih-Reza Amini

IEEE J Biomed Health Inform· October 2021

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Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients.
Jonathan Montomoli, Luca Romeo, Sara Moccia, Michele Bernardini, Lucia Migliorelli

J Intensive Med· October 2021

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Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World.
Farshad Firouzi, Bahar Farahani, Mahmoud Daneshmand, Kathy Grise, Jaeseung Song, Luca Romeo

IEEE Internet Things J· August 2021

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Identifying the signature of prospective motor control in children with autism.
Andrea Cavallo, Luca Romeo, Caterina Ansuini, Francesca Battaglia, Lino Nobili

Sci Rep· February 2021

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Functional evaluation of triceps surae during heel rise test: from EMG frequency analysis to machine learning approach.
Francesco Ferracuti, Sandro Fioretti, Emanuele Frontoni, Sabrina Iarlori, Alessandro Mengarelli, Luca Romeo

Med Biol Eng Comput· January 2021

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A Decision Support System for Diabetes Chronic Care Models Based on General Practitioner Engagement and EHR Data Sharing.
Emanuele Frontoni, Luca Romeo, Michele Bernardini, Sara Moccia, Lucia Migliorelli

IEEE J Transl Eng Health Med· October 2020

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Faster R-CNN approach for detection and quantification of DNA damage in comet assay images.
Riccardo Rosati, Luca Romeo, Sonia Silvestri, Fabio Marcheggiani, Luca Tiano

Comput Biol Med· August 2020

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Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach.
Michele Bernardini, Micaela Morettini, Luca Romeo, Emanuele Frontoni, Laura Burattini

Artif Intell Med· May 2020

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Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine.
Michele Bernardini, Luca Romeo, Paolo Misericordia, Emanuele Frontoni

IEEE J Biomed Health Inform· January 2020

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TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records.
Michele Bernardini, Micaela Morettini, Luca Romeo, Emanuele Frontoni, Laura Burattini

Comput Biol Med· September 2019

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The KIMORE Dataset: KInematic Assessment of MOvement and Clinical Scores for Remote Monitoring of Physical REhabilitation.
Marianna Capecci, Maria Gabriella Ceravolo, Francesco Ferracuti, Sabrina Iarlori, Andrea Monteriu, Luca Romeo

IEEE Trans Neural Syst Rehabil Eng· July 2019

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Corrigendum to "Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject That Underwent a Rehabilitation Treatment in the Early Stage of Stroke" [J Stroke Cerebrovasc Dis 27/11 (2018) 2962-2972].
Patrizio Sale, Giorgio Ferriero, Lucio Ciabattoni, Anna Maria Cortese, Giovanni Gentile, Luca Romeo

J Stroke Cerebrovasc Dis· December 2018

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Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of Stroke.
Patrizio Sale, Giorgio Ferriero, Lucio Ciabattoni, Anna Maria Cortese, Francesco Ferracuti, Luca Romeo

J Stroke Cerebrovasc Dis· November 2018

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Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection.
Marina Paolanti, Luca Romeo, Daniele Liciotti, Annalisa Cenci, Emanuele Frontoni

Sensors (Basel)· October 2018

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Prospective motor control obeys to idiosyncratic strategies in autism.
Andrea Cavallo, Luca Romeo, Caterina Ansuini, Jessica Podda, Francesca Battaglia

Sci Rep· September 2018

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A Smart Sensing Architecture for Domestic Monitoring: Methodological Approach and Experimental Validation.
Andrea Monteriù, Mario Rosario Prist, Emanuele Frontoni, Sauro Longhi, Filippo Pietroni, Luca Romeo

Sensors (Basel)· July 2018

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