Publications
] .
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.
.
2020. SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0. Information. 11:202.
.
2020. A sequential deep learning application for recognising human activities in smart homes. Neurocomputing. 396:501–513.
.
2019. Robotic retail surveying by deep learning visual and textual data. Robotics and Autonomous Systems. 118:179–188.
.
2018. Prospective motor control obeys to idiosyncratic strategies in autism. Scientific reports. 8:1–9.
.
2019. Multiple instance learning for emotion recognition using physiological signals. IEEE Transactions on Affective Computing.
.
2020. Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0. Expert Systems with Applications. 140:112869.
.
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.
.
2020. Faster R-CNN approach for detection and quantification of DNA damage in comet assay images. Computers in Biology and Medicine. 123:103912.
.
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.
.
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}.