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cs.LG2022
Evaluation of the impact of the indiscernibility relation on the fuzzy-rough nearest neighbours algorithm
Henri Bollaert, Chris Cornelis
Fuzzy rough sets are well-suited for working with vague, imprecise or uncertain information and have been succesfully applied in real-world classification problems. One of the prom…
cs.LG2021
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…