26 citations · 71 across the 11 of their papers we have counts for
4 papers · 1 filter
A Novel Machine Learning Approach to Data Inconsistency with respect to a Fuzzy Relation
Marko Palangetić, Chris Cornelis, Salvatore Greco +1
Inconsistency in prediction problems occurs when instances that relate in a certain way on condition attributes, do not follow the same relation on the decision attribute. For exam…
Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets
Olha Kaminska, Chris Cornelis, Veronique Hoste
Social media are an essential source of meaningful data that can be used in different tasks such as sentiment analysis and emotion recognition. Mostly, these tasks are solved with…
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…
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…