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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.
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.
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.
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.
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.
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.
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.
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.
Conference Paper
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}.