Publications

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2020
Frontoni E., Romeo L., Bernardini M., Moccia S., Migliorelli L., Paolanti M., Ferri A., Misericordia P., Mancini A., Zingaretti P..  2020.  A Decision Support System for Diabetes Chronic Care Models Based on General Practitioner Engagement and EHR Data Sharing. IEEE Journal of Translational Engineering in Health and Medicine. 8:1-12.
Frontoni E., Romeo L., Bernardini M., Moccia S., Migliorelli L., Paolanti M., Ferri A., Misericordia P., Mancini A., Zingaretti P..  2020.  A Decision Support System for Diabetes Chronic Care Models based on General Practitioner engagement and EHR data sharing. IEEE Journal of Translational Engineering in Health and Medicine.
Bernardini M, Morettini M, Romeo L, Frontoni E, Burattini L.  2020.  Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach. Artificial Intelligence in Medicine. :101847.
Rosati R, Romeo L, Silvestri S, Marcheggiani F, Tiano L, Frontoni E.  2020.  Faster R-CNN approach for detection and quantification of DNA damage in comet assay images. Computers in Biology and Medicine. 123:103912.
Rosati R, Romeo L, Silvestri S, Marcheggiani F, Tiano L, Frontoni E.  2020.  Faster R-CNN approach for detection and quantification of DNA damage in comet assay images. Computers in Biology and Medicine. 123:103912.
Rosati R., Romeo L., Goday C.A, Menga T., Frontoni E..  2020.  Machine Learning in Capital Markets: Decision Support System for Outcome Analysis. IEEE Access. 8:109080-109091.
Rosati R., Romeo L., Goday C.A, Menga T., Frontoni E..  2020.  Machine Learning in Capital Markets: Decision Support System for Outcome Analysis. IEEE Access. 8:109080-109091.
Romeo L, Loncarski J, Paolanti M, Bocchini G, Mancini A, Frontoni E.  2020.  Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0. Expert Systems with Applications. 140:112869.
Casaccia S., Romeo L., Calvaresi A., Morresi N., Monteriù A., Frontoni E., Scalise L., Revel G.M.  2020.  Measurement of Users’ Well-Being Through Domotic Sensors and Machine Learning Algorithms. IEEE Sensors Journal. 20:8029-8038.
Casaccia S., Romeo L., Calvaresi A., Morresi N., Monteriù A., Frontoni E., Scalise L., Revel G.M.  2020.  Measurement of Users’ Well-Being Through Domotic Sensors and Machine Learning Algorithms. IEEE Sensors Journal. 20:8029-8038.
Romeo L, Armentano G, Nicolucci A, Vespasiani M, Vespasiani G, Frontoni E.  2020.  A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}.
Liciotti D, Bernardini M, Romeo L, Frontoni E.  2020.  A sequential deep learning application for recognising human activities in smart homes. Neurocomputing. 396:501–513.
Calabrese M, Cimmino M, Fiume F, Manfrin M, Romeo L, Ceccacci S, Paolanti M, Toscano G, Ciandrini G, Carrotta A et al..  2020.  SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0. Information. 11:202.
Patrini I, Ruperti M, Moccia S, Mattos LS, Frontoni E, De Momi E.  2020.  Transfer learning for informative-frame selection in laryngoscopic videos through learned features. Medical & Biological Engineering & Computing.
2019
Bernardini M, Romeo L, Misericordia P, Frontoni E.  2019.  Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse Balanced Support Vector Machine. IEEE Journal of Biomedical and Health Informatics .
Capecci M, Ceravolo MGabriella, Ferracuti F, Iarlori S, Monteriù A, Romeo L, Verdini F.  2019.  The KIMORE dataset: KInematic assessment of MOvement and clinical scores for remote monitoring of physical REhabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27:1436–1448.
Romeo L, Cavallo A, Pepa L, Berthouze N, Pontil M.  2019.  Multiple instance learning for emotion recognition using physiological signals. IEEE Transactions on Affective Computing.
Paolanti M, Romeo L, Martini M, Mancini A, Frontoni E, Zingaretti P.  2019.  Robotic retail surveying by deep learning visual and textual data. Robotics and Autonomous Systems. 118:179–188.
Bernardini M, Morettini M, Romeo L, Frontoni E, Burattini L.  2019.  TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records. Computers in Biology and Medicine. 112:103358.
2018
Paolanti M, Romeo L, Liciotti D, Cenci A, Frontoni E, Zingaretti P.  2018.  Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection. Sensors. 18:3471.
Cavallo A, Romeo L, Ansuini C, Podda J, Battaglia F, Veneselli E, Pontil M, Becchio C.  2018.  Prospective motor control obeys to idiosyncratic strategies in autism. Scientific reports. 8:1–9.
2017
Frontoni E, Marinelli F, Rosetti R, Zingaretti P.  2017.  Shelf space re-allocation for out of stock reduction. Computers & Industrial Engineering.
2016
Frontoni E, Marinelli F, Paolanti M, Rosetti R, Zingaretti P.  2016.  Optimal production planning by reusing components. Control and Automation (MED), 2016 24th Mediterranean Conference on. :1272–1277.
2014
Frontoni E, Contigiani M, Ribighini G..  2014.  A heuristic approach to evaluate occurrences of products for the planogram maintenance. MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings.
Rossi L., Belli A., De Santis A., Diamantini C., Frontoni E, Gambi E., Palma L., Pernini L., Pierleoni P., Potena D. et al..  2014.  Interoperability issues among smart home technological frameworks. MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings.

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