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Keyword

one-class classification

Description: One-class classification is a machine-learning task that models a single target class to distinguish its members from anomalies or other data.
Wikidata ID: wiki/Q7092302
OpenAlex ID: keywords/one-class-classification
Deep One-Class Classification
2018 · Lukas Ruff, Robert A. Vandermeulen, et al. · International Conference on Machine Learning · 1,719
A review of novelty detection
2014 · Marco A.F. Pimentel, David A. Clifton, et al. · Signal Processing · 1,644
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
2021 · Chun-Liang Li, Kihyuk Sohn, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,095
A Unifying Review of Deep and Shallow Anomaly Detection
2021 · Lukas Ruff, Jacob R. Kauffmann, et al. · Proceedings of the IEEE · 1,029
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Adversarially Learned One-Class Classifier for Novelty Detection
2018 · Mohammad Sabokrou, Mohammad Khalooei, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 766
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One-class classification: taxonomy of study and review of techniques
2014 · Shehroz S. Khan, Michael G. Madden · The Knowledge Engineering Review · 603
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One-class classification
2001 · David M. J. Tax · Research Repository (Delft University of Technology) · 534
Latent Space Autoregression for Novelty Detection
2019 · Davide Abati, Angelo Porrello, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 507
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Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers
2018 · X.E. Pantazi, D. Moshou, et al. · Computers and Electronics in Agriculture · 405
Learning Deep Features for One-Class Classification
2019 · Pramuditha Perera, Vishal M. Patel · IEEE Transactions on Image Processing · 392
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Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection
2020 · Jianpeng Zhang, Yutong Xie, et al. · IEEE Transactions on Medical Imaging · 389
A Survey of Recent Trends in One Class Classification
2010 · Shehroz S. Khan, Michael G. Madden · Lecture notes in computer science · 354
Anomaly Detection Using Real-Valued Negative Selection
2003 · Fabio A. González, Dipankar Dasgupta · Genetic Programming and Evolvable Machines · 317
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
2022 · Nicolae-Catalin Ristea, Neelu Madan, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 313
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DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
2023 · Xuan Zhang, Shiyu Li, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 301
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Uniform object generation for optimizing one-class classifiers
2002 · David M. J. Tax, Robert P. W. Duin · 294
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
2021 · Tal Reiss, Niv Cohen, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 293
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Training set size requirements for the classification of a specific class
2006 · Giles M. Foody, Ajay Mathur, et al. · Remote Sensing of Environment · 290
Authorship verification as a one-class classification problem
2004 · Moshe Koppel, Jonathan Schler · 278
Pattern recognition-based chillers fault detection method using Support Vector Data Description (SVDD)
2013 · Yang Zhao, Shengwei Wang, et al. · Applied Energy · 275
Recommendation as link prediction in bipartite graphs: A graph kernel-based machine learning approach
2012 · Xin Li, Hsinchun Chen · Decision Support Systems · 260
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
2018 · Pidhorskyi, Stanislav, Almohsen, Ranya, et al. · arXiv (Cornell University) · 255
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Target detection in synthetic aperture radar imagery: a state-of-the-art survey
2013 · Khalid El-Darymli, Peter McGuire, et al. · Journal of Applied Remote Sensing · 251
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Constructing boosting algorithms from SVMs: an application to one-class classification
2002 · G. Ratsch, S. Mika, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 248
PVEL-AD: A Large-Scale Open-World Dataset for Photovoltaic Cell Anomaly Detection
2022 · Binyi Su, Zhong Zhou, et al. · IEEE Transactions on Industrial Informatics · 243
Works count: 3,372
Citation count: 56,310
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