Publications

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Journal Article
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.
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.
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.
Frontoni E, Marinelli F, Rosetti R, Zingaretti P.  2017.  Shelf space re-allocation for out of stock reduction. Computers & Industrial Engineering.
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.
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.
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.
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.
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.
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, 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.
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.
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.
De Giovanni L., Massi G, Pezzella F., Pfetsch M.E., Rinaldi G., Ventura P.d.  2013.  A heuristic and an exact method for the gate matrix connection cost minimization problem. International Transactions in Operational Research. 20:627-643.
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.
Antonicelli R., Raffaelli S., Bossini A., Paciaroni E., Zingaretti P, Botta G.F..  1989.  Evaluation of efficacy and tolerability of the association Captopril 50 mg + hydrochlorothiazide 15 mg in the elderly [VALUTAZIONE DELL'EFFICACIA E TOLLERABILITA DELL'ASSOCIAZIONE A DOSE FISSA DI CAPTOPRIL (CPT) 50 MG E IDROCLOROTIAZIDE (HCTZ) 15 MG IN SO. European Review for Medical and Pharmacological Sciences. 11:155-161.
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.
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 .
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.
Frontoni E, Raspa P., Mancini A, Zingaretti P, Placidi V.  2013.  Customers' activity recognition in intelligent retail environments. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8158 LNCS:509-516.
Conference Paper
Raspa P., Frinconi L., Mancini A, Cavalletti M., Longhi S, Fulimeni L., Bellesi P., Isidori R..  2010.  Selection of Lithium cells for EV battery pack using self organizing maps. EVS 2010 - Sustainable Mobility Revolution: 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition.

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