Publications

Export 194 results:
Author Title Type [ Year(Asc)]
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.
Penza V, Moccia S, De Momi E, Mattos LS.  2020.  Enhanced Vision to Improve Safety in Robotic Surgery. Handbook of Robotic and Image-Guided Surgery.
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.
Antognoli L, Moccia S, Migliorelli L, Casaccia S, Scalise L, Frontoni E.  2020.  Heartbeat detection by Laser Doppler Vibrometry and Machine Learning. Sensors.
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.
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}.
Fiorentino MChiara, Moccia S, Capparuccini M, Giamberini S, Frontoni E.  2020.  A regression framework to head-circumference delineation from US fetal images. Computer Methods and Programs in Biomedicine.
Zaffino P, Moccia S, De Momi E, Spadea MFrancesca.  2020.  A Review on Advances in Intra-operative Imaging for Surgery and Therapy: Imagining the Operating Room of the Future. Annals of Biomedical 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.
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
Galdelli A, Mancini A, Tassetti A N, Vega CFerra, Armelloni E, Scarcella G, Fabi G, Zingaretti P.  2019.  A Cloud Computing Architecture to Map Trawling Activities Using Positioning Data.
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 .
Galdelli A, Pagnotta DProietti, Mancini A, Freddi A, Monteriù A, Frontoni E.  2019.  Empowered Optical Inspection by Using Robotic Manipulator in Industrial Applications.. IROS.
Casella A, Moccia S, Frontoni E, Palladini D, De Momi E, Mattos LS.  2019.  Inter-foetus Membrane Segmentation for TTTS Using Adversarial Networks. Annals of Biomedical Engineering.
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.
Moccia S, Migliorelli L, Carnielli V, Frontoni E.  2019.  Preterm infants' pose estimation with spatio-temporal features. IEEE Transactions on Biomedical Engineering.
Frontoni E, Mancini A.  2019.  Programmazione ad Oggetti per l'Ingegneria Informatica. :IX-412.
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.

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