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.
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.
Frontoni E, Mancini A, Zingaretti P, Malinverni ESavina, Pesaresi S.c, Biondi E.c, Pandolfi M.d, Marseglia M.e, Sturari M, Zabaglia C.g.  2014.  SIT-REM: An interoperable and interactive web geographic information system for fauna, flora and plant landscape data management. ISPRS International Journal of Geo-Information. 3:853-867.
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.
Baldassarri P, Puliti P, Montesanto A., Tascini G.  2003.  Self-organizing maps versus growing neural gas in a robotic application. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2687:201-208.
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.
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.
Bernardini A., Frontoni E, Malinverni ESavina, Mancini A, Tassetti A N, Zingaretti P.  2010.  Pixel, object and hybrid classification comparisons. Journal of Spatial Science. 55:43-54.
Gaggiotti G., Orlandoni P., Ambrosi S., Bartolacci T., Onorato G., Piloni G., Amadio L., Spazzafumo L., Zingaretti P, Fabris N..  1991.  Nutritional parameters in subjects aged 60 years and over [PARAMETRI NUTRIZIONALI IN SOGGETTI CON ETA SUPERIORE A 60 ANNI]. Rivista Italiana di Nutrizione Parenterale ed Enterale. 9:203-210.
Montesanto A., Tascini G, Puliti P, Baldassarri P.  2006.  Navigation with memory in a partially observable environment. Robotics and Autonomous Systems. 54:84-94.
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.
Benini A., Mancini A, Minutolo R., Longhi S, Montanari M.b.  2012.  A modular framework for fast prototyping of cooperative unmanned aerial vehicle. Journal of Intelligent and Robotic Systems: Theory and Applications. 65:507-520.
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.
Benini A., Mancini A, Longhi S.  2013.  An IMU/UWB/vision-based extended kalman filter for mini-UAV localization in indoor environment using 802.15.4a wireless sensor network. Journal of Intelligent and Robotic Systems: Theory and Applications. 70:461-476.
Dragoni A.F., Vallesi G., Baldassarri P, Mazzieri M..  2010.  An hybrid system for continuous learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6077 LNAI:296-303.
Malinverni ESavina, Tassetti A N, Mancini A, Zingaretti P, Frontoni E, Bernardini A..  2011.  Hybrid object-based approach for land use/land cover mapping using high spatial resolution imagery. International Journal of Geographical Information Science. 25:1025-1043.
Dragoni A.F., Vallesi G., Baldassarri P.  2011.  Face recognition system in a dynamical environment. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6692 LNCS:121-128.
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.
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, 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 .
Baldassarri P, Montesanto A., Puliti P.  2007.  Detecting anomalous traffic using statistical discriminator and neural decisional motor. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4527 LNCS:367-376.
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.

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