Luca Romeo
Orcid: 0000-0003-1707-0147
According to our database1,
Luca Romeo
authored at least 48 papers
between 2014 and 2024.
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Bibliography
2024
On the Integration of Artificial Intelligence and Blockchain Technology: A Perspective About Security.
IEEE Access, 2024
2023
A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets.
Comput. Biol. Medicine, September, 2023
Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment.
Appl. Soft Comput., May, 2023
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0.
J. Intell. Manuf., 2023
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data.
Eng. Appl. Artif. Intell., 2023
Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment.
Comput. Ind., 2023
2022
Fault Diagnosis of Rotating Machinery Based on Wasserstein Distance and Feature Selection.
IEEE Trans Autom. Sci. Eng., 2022
IEEE Trans. Affect. Comput., 2022
A Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign.
Pattern Recognit., 2022
A novel deep ordinal classification approach for aesthetic quality control classification.
Neural Comput. Appl., 2022
Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
2021
A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution.
IEEE J. Biomed. Health Informatics, 2021
Functional evaluation of triceps surae during heel rise test: from EMG frequency analysis to machine learning approach.
Medical Biol. Eng. Comput., 2021
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World.
IEEE Internet Things J., 2021
A Clinical Decision Support System to Stratify the Temporal Risk of Diabetic Retinopathy.
IEEE Access, 2021
2020
Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020
Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine.
IEEE J. Biomed. Health Informatics, 2020
SOPHIA: An Event-Based IoT and Machine Learning Architecture for Predictive Maintenance in Industry 4.0.
Inf., 2020
A sequential deep learning application for recognising human activities in smart homes.
Neurocomputing, 2020
Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0.
Expert Syst. Appl., 2020
Faster R-CNN approach for detection and quantification of DNA damage in comet assay images.
Comput. Biol. Medicine, 2020
Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach.
Artif. Intell. Medicine, 2020
IEEE Access, 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, 2020
Bias from the Wild Industry 4.0: Are We Really Classifying the Quality or Shotgun Series?
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
3D Human Pose Estimation Based on Multi-Input Multi-Output Convolutional Neural Network and Event Cameras: A Proof of Concept on the DHP19 Dataset.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
2019
Robotics Auton. Syst., 2019
TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records.
Comput. Biol. Medicine, 2019
Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data.
Proceedings of the IEEE 23rd International Symposium on Consumer Technologies, 2019
Measuring Environmental Data and Physiological Parameters at Home to Assess the Caregiver Burden in Assistants of People with Dementia.
Proceedings of the Ambient Assisted Living, 2019
2018
Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection.
Sensors, 2018
A Smart Sensing Architecture for Domestic Monitoring: Methodological Approach and Experimental Validation.
Sensors, 2018
J. Biomed. Informatics, 2018
Collaborative design of a telerehabilitation system enabling virtual second opinion based on fuzzy logic.
IET Comput. Vis., 2018
Proceedings of the 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2018
Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction.
Proceedings of the 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2018
Complex activity recognition system based on cascade classifiers and wearable device data.
Proceedings of the IEEE International Conference on Consumer Electronics, 2018
2017
Proceedings of the IEEE International Conference on Consumer Electronics, 2017
Proceedings of the IEEE International Conference on Consumer Electronics, 2017
A sensor fusion approach for measuring emotional customer experience in an intelligent retail environment.
Proceedings of the 7th IEEE International Conference on Consumer Electronics - Berlin, 2017
2016
A novel computer vision based e-rehabilitation system: From gaming to therapy support.
Proceedings of the IEEE International Conference on Consumer Electronics, 2016
Serious gaming approach for physical activity monitoring: A visual feedback based on quantitative evaluation.
Proceedings of the IEEE 6th International Conference on Consumer Electronics - Berlin, 2016
Accuracy evaluation of the Kinect v2 sensor during dynamic movements in a rehabilitation scenario.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Physical rehabilitation exercises assessment based on Hidden Semi-Markov Model by Kinect v2.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
2015
Evaluation of Unimodal and Multimodal Communication Cues for Attracting Attention in Human-Robot Interaction.
Int. J. Soc. Robotics, 2015
A tool for home-based rehabilitation allowing for clinical evaluation in a visual markerless scenario.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Proceedings of the 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2014