Publications

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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.
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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.
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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.
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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.
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.
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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}.
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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.
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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.
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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.
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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.