16 citations · 44 across the 7 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.LG2021★ 7 cited
Optimised one-class classification performance
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
We provide a thorough treatment of one-class classification with hyperparameter optimisation for five data descriptors: Support Vector Machine (SVM), Nearest Neighbour Distance (NN…
cs.LG2021★ 16 cited
Average Localised Proximity: A new data descriptor with good default one-class classification performance
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
One-class classification is a challenging subfield of machine learning in which so-called data descriptors are used to predict membership of a class based solely on positive exampl…