Search Results for author:
Found 3 papers, 2 papers with code
Low-Cost Outdoor Air Quality Monitoring and Sensor Calibration: A Survey and Critical Analysis
Periodic re-calibration can improve the accuracy of low-cost sensors, particularly with machine-learning-based calibration, which has shown great promise due to its capability to calibrate sensors in-field.
Privacy-preserving data sharing via probabilistic modelling
Differential privacy allows quantifying privacy loss resulting from accessing sensitive personal data.
Differentially Private Bayesian Learning on Distributed Data
Many applications of machine learning, for example in health care, would benefit from methods that can guarantee privacy of data subjects.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
