12 citations · 13 across the 4 of their papers we have counts for
4 papers
Optimising the attribute order in Fuzzy Rough Rule Induction
Henri Bollaert, Chris Cornelis, Marko Palangetić +2
Interpretability is the next pivotal frontier in machine learning research. In the pursuit of glass box models - as opposed to black box models, like random forests or neural netwo…
FRRI: a novel algorithm for fuzzy-rough rule induction
Henri Bollaert, Marko Palangetić, Chris Cornelis +2
Interpretability is the next frontier in machine learning research. In the search for white box models - as opposed to black box models, like random forests or neural networks - ru…
A unified weighting framework for evaluating nearest neighbour classification
Oliver Urs Lenz, Henri Bollaert, Chris Cornelis
We present the first comprehensive and large-scale evaluation of classical (NN), fuzzy (FNN) and fuzzy rough (FRNN) nearest neighbour classification. We standardise existing propos…
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…