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Mark Carman

CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities
A technical survey on statistical modelling and design methods for crowdsourcing quality control
Lowest probabilitymass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms
Leveraging label category relationships in multi-class crowdsourcing
Grouping Points by Shared Subspaces for Effective Subspace Clustering
Overcoming key weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure
Density-ratio based clustering for discovering clusters with varying densities

Ye Zhu @2022

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