3 papers
cs.AI2022
Multi-class granular approximation by means of disjoint and adjacent fuzzy granules
Marko Palangetić, Chris Cornelis, Salvatore Greco +1
In granular computing, fuzzy sets can be approximated by granularly representable sets that are as close as possible to the original fuzzy set w.r.t. a given closeness measure. Suc…
cs.CL2021
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…
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…