Oliver Urs Lenz

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Fuzzy Rough Sets

Missing Data Imputation

Top Venues

IEEE Trans. Fuzzy Syst.

Publications

Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Polar Encoding: A Simple Baseline Approach for Classification With Missing Values. IEEE Trans. Fuzzy Syst. 32 (5) (2024)
Oliver Urs Lenz, Chris Cornelis
Classifying token frequencies using angular Minkowski p-distance. CoRR (2023)
Oliver Urs Lenz, Chris Cornelis
Classifying Token Frequencies Using Angular Minkowski p-Distance. IJCRS (2023)
Oliver Urs Lenz, Henri Bollaert, Chris Cornelis
A unified weighting framework for evaluating nearest neighbour classification. CoRR (2023)
Adnan Theerens, Oliver Urs Lenz, Chris Cornelis
Choquet-based fuzzy rough sets. Int. J. Approx. Reason. 146 (2022)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Optimised one-class classification performance. Mach. Learn. 111 (8) (2022)
Adnan Theerens, Oliver Urs Lenz, Chris Cornelis
Choquet-Based Fuzzy Rough Sets. CoRR (2022)
Oliver Urs Lenz, Chris Cornelis, Daniel Peralta
Fuzzy-rough-learn 0.2: a Python library for fuzzy rough set algorithms and one-class classification. FUZZ-IEEE (2022)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Representing missing values through polar encoding. CoRR (2022)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
No imputation without representation. CoRR (2022)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Average Localised Proximity: A new data descriptor with good default one-class classification performance. Pattern Recognit. 118 (2021)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Adapting Fuzzy Rough Sets for Classification with Missing Values. IJCRS (2021)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Optimised one-class classification performance. CoRR (2021)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Average Localised Proximity: a new data descriptor with good default one-class classification performance. CoRR (2021)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Scalable Approximate FRNN-OWA Classification. IEEE Trans. Fuzzy Syst. 28 (5) (2020)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets. IJCRS (2020)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
A Scalable Approach to Fuzzy Rough Nearest Neighbour Classification with Ordered Weighted Averaging Operators. IJCRS (2019)