25 citations · 36 across the 4 of their papers we have counts for
4 papers
Automatic end-to-end De-identification: Is high accuracy the only metric?
Vithya Yogarajan, Bernhard Pfahringer, Michael Mayo
De-identification of electronic health records (EHR) is a vital step towards advancing health informatics research and maximising the use of available data. It is a two-step proces…
A survey of automatic de-identification of longitudinal clinical narratives
Vithya Yogarajan, Michael Mayo, Bernhard Pfahringer
Use of medical data, also known as electronic health records, in research helps develop and advance medical science. However, protecting patient confidentiality and identity while…
Using Swarm Optimization To Enhance Autoencoders Images
Maisa Doaud, Michael Mayo
Autoencoders learn data representations through reconstruction. Robust training is the key factor affecting the quality of the learned representations and, consequently, the accura…
Improving Naive Bayes for Regression with Optimised Artificial Surrogate Data
Michael Mayo, Eibe Frank
Can we evolve better training data for machine learning algorithms? To investigate this question we use population-based optimisation algorithms to generate artificial surrogate tr…