Researcher
Oliver Lenz
- Keywords:machine learning
- Disciplines:Machine learning and decision making, Neural, evolutionary and fuzzy computation
Affiliations
- Department of Applied Mathematics, Computer Science and Statistics (Department)
Member
From28 Jun 2018 → Today
Publications
1 - 10 of 14
- Classifying token frequencies using angular Minkowski p-distance(2023)Volume: 14481
Authors: Oliver Lenz, Chris Cornelis, Andrea Campagner, Shuyin Xia, Dominik Ślęzak, Jarosław Wąs, JingTao Yao
Pages: 402 - 413 - Fuzzy rough nearest neighbour classification on real-life datasets(2023)
Authors: Oliver Lenz
- No imputation without representation(2023)
Authors: Oliver Lenz, Daniel Peralta Cámara, Chris Cornelis
Number of pages: 1 - Rough sets : international joint conference, IJCRS 2023, Krakow, Poland, October 5–8, 2023, Proceedings(2023)
Authors: Andrea Campagner, Oliver Lenz, Shuyin Xia, Dominik Ślęzak, Jarosław Wąs, JingTao Yao
- Optimised one-class classification performance(2022)
Authors: Oliver Lenz, Daniel Peralta Cámara, Chris Cornelis
Pages: 2863 - 2883 - Optimised one-class classification performance(2022)
Authors: Oliver Lenz, Daniel Peralta Cámara, Chris Cornelis
Number of pages: 1 - Choquet-based fuzzy rough sets(2022)
Authors: Adnan Theerens, Oliver Lenz, Chris Cornelis
Pages: 62 - 78 - Fuzzy-rough-learn 0.2 : a Python library for fuzzy rough set algorithms and one-class classification(2022)
Authors: Oliver Lenz, Chris Cornelis, Daniel Peralta Cámara
Number of pages: 1 - Average Localised Proximity : a new data descriptor with good default one-class classification performance(2021)
Authors: Oliver Lenz, Daniel Peralta Cámara, Chris Cornelis, Luis A. Leiva, Cédric Pruski, Réka Markovich, Amro Najjar, Christoph Schommer
Pages: 644 - 646 - Adapting fuzzy rough sets for classification with missing values(2021)Volume: 12872
Authors: Oliver Lenz, Daniel Peralta Cámara, Chris Cornelis, Sheela Ramanna, Davide Ciucci
Pages: 192 - 200