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

Oliver Lenz (UGent) , Daniel Peralta (UGent) and Chris Cornelis (UGent)
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Keywords
Signal Processing, Software, Artificial Intelligence, Computer Vision and Pattern Recognition, Data descriptors, Hyperparameters, Localised distance, Nearest neighbours, Novelty detection, One-class classification, OWA operators, Semi-supervised outlier detection, classifiers

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MLA
Lenz, Oliver, et al. “Average Localised Proximity : A New Data Descriptor with Good Default One-Class Classification Performance.” Proceedings of the 33rd Benelux Conference on Artificial Intelligence (BNAIC 2021) and the 30th Belgian-Dutch Conference on Machine Learning (BeneLearn 2021), edited by Luis A. Leiva et al., 2021, pp. 644–46.
APA
Lenz, O., Peralta, D., & Cornelis, C. (2021). Average Localised Proximity : a new data descriptor with good default one-class classification performance. In L. A. Leiva, C. Pruski, R. Markovich, A. Najjar, & C. Schommer (Eds.), Proceedings of the 33rd Benelux Conference on Artificial Intelligence (BNAIC 2021) and the 30th Belgian-Dutch Conference on Machine Learning (BeneLearn 2021) (pp. 644–646).
Chicago author-date
Lenz, Oliver, Daniel Peralta, and Chris Cornelis. 2021. “Average Localised Proximity : A New Data Descriptor with Good Default One-Class Classification Performance.” In Proceedings of the 33rd Benelux Conference on Artificial Intelligence (BNAIC 2021) and the 30th Belgian-Dutch Conference on Machine Learning (BeneLearn 2021), edited by Luis A. Leiva, Cédric Pruski, Réka Markovich, Amro Najjar, and Christoph Schommer, 644–46.
Chicago author-date (all authors)
Lenz, Oliver, Daniel Peralta, and Chris Cornelis. 2021. “Average Localised Proximity : A New Data Descriptor with Good Default One-Class Classification Performance.” In Proceedings of the 33rd Benelux Conference on Artificial Intelligence (BNAIC 2021) and the 30th Belgian-Dutch Conference on Machine Learning (BeneLearn 2021), ed by. Luis A. Leiva, Cédric Pruski, Réka Markovich, Amro Najjar, and Christoph Schommer, 644–646.
Vancouver
1.
Lenz O, Peralta D, Cornelis C. Average Localised Proximity : a new data descriptor with good default one-class classification performance. In: Leiva LA, Pruski C, Markovich R, Najjar A, Schommer C, editors. Proceedings of the 33rd Benelux Conference on Artificial Intelligence (BNAIC 2021) and the 30th Belgian-Dutch Conference on Machine Learning (BeneLearn 2021). 2021. p. 644–6.
IEEE
[1]
O. Lenz, D. Peralta, and C. Cornelis, “Average Localised Proximity : a new data descriptor with good default one-class classification performance,” in Proceedings of the 33rd Benelux Conference on Artificial Intelligence (BNAIC 2021) and the 30th Belgian-Dutch Conference on Machine Learning (BeneLearn 2021), Belval, Esch-sur-Alzette (Luxembourg), 2021, pp. 644–646.
@inproceedings{8743113,
  author       = {{Lenz, Oliver and Peralta, Daniel and Cornelis, Chris}},
  booktitle    = {{Proceedings of the 33rd Benelux Conference on Artificial Intelligence (BNAIC 2021) and the 30th Belgian-Dutch Conference on Machine Learning (BeneLearn 2021)}},
  editor       = {{Leiva, Luis A. and Pruski, Cédric and Markovich, Réka and Najjar, Amro and Schommer, Christoph}},
  isbn         = {{027992527X}},
  issn         = {{2799-2527}},
  keywords     = {{Signal Processing,Software,Artificial Intelligence,Computer Vision and Pattern Recognition,Data descriptors,Hyperparameters,Localised distance,Nearest neighbours,Novelty detection,One-class classification,OWA operators,Semi-supervised outlier detection,classifiers}},
  language     = {{eng}},
  location     = {{Belval, Esch-sur-Alzette (Luxembourg)}},
  pages        = {{644--646}},
  title        = {{Average Localised Proximity : a new data descriptor with good default one-class classification performance}},
  year         = {{2021}},
}