Riccardo Rosati
Orcid: 0000-0003-3288-638XAffiliations:
- Università Politecnica delle Marche, Ancona, Italy
According to our database1,
Riccardo Rosati
authored at least 15 papers
between 2017 and 2023.
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Bibliography
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
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
Can AI Replace Conventional Markerless Tracking? A Comparative Performance Study for Mobile Augmented Reality Based on Artificial Intelligence.
Proceedings of the Extended Reality - First International Conference, 2022
2020
Faster R-CNN approach for detection and quantification of DNA damage in comet assay images.
Comput. Biol. Medicine, 2020
IEEE Access, 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
Measurement of Activities of Daily Living: a simulation tool for the optimisation of a Passive Infrared sensor network in a Smart Home environment.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
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
2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017