Oliver Urs Lenz

IEEE Trans. Fuzzy Syst., May, 2024

2023

A unified weighting framework for evaluating nearest neighbour classification.

[BibT_eX]

[DOI]

Henri Bollaert

CoRR, 2023

Classifying Token Frequencies Using Angular Minkowski p-Distance.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2023

2022

Optimised one-class classification performance.

[BibT_eX]

[DOI]

Mach. Learn., 2022

Choquet-based fuzzy rough sets.

[BibT_eX]

[DOI]

Adnan Theerens

Int. J. Approx. Reason., 2022

Representing missing values through polar encoding.

[BibT_eX]

[DOI]

CoRR, 2022

No imputation without representation.

[BibT_eX]

[DOI]

CoRR, 2022

Fuzzy-rough-learn 0.2: a Python library for fuzzy rough set algorithms and one-class classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

Average Localised Proximity: A new data descriptor with good default one-class classification performance.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Adapting Fuzzy Rough Sets for Classification with Missing Values.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2021

2020

Scalable Approximate FRNN-OWA Classification.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2020

fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2020

2019

A Scalable Approach to Fuzzy Rough Nearest Neighbour Classification with Ordered Weighted Averaging Operators.

[BibT_eX]

[DOI]