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Outlier detection: How to Select k for k-nearest-neighbors-based outlier detectors.

J. Yang, X. Tan, and S. Rahardja. Pattern Recognit. Lett., (October 2023)

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How to Select Optimal Parameters for Neighborhood-Based Outlier Detectors?S. Rahardja, X. Tan, J. Chen, J. Yang, J. Chen, and P. Fränti. ICSPCC, page 1-5. IEEE, (2023)Single-lead ECG recordings modeling for end-to-end recognition of atrial fibrillation with dual-path RNN.M. Wang, S. Rahardja, P. Fränti, and S. Rahardja. Biomed. Signal Process. Control., 79 (Part): 104067 (2023)Neighborhood representative for improving outlier detectors.J. Yang, Y. Chen, and S. Rahardja. Inf. Sci., (May 2023)Outlier detection: How to Select k for k-nearest-neighbors-based outlier detectors.J. Yang, X. Tan, and S. Rahardja. Pattern Recognit. Lett., (October 2023)Joint Selective State Space Model and Detrending for Robust Time Series Anomaly Detection.J. Chen, X. Tan, S. Rahardja, J. Yang, and S. Rahardja. IEEE Signal Process. Lett., (2024)NoSimple: Data Bias Evaluation Metrics.S. Rahardja, and P. Fränti. IMCOM, page 1-5. IEEE, (2024)FOOR: Be Careful for Outlier-Score Outliers When Using Unsupervised Outlier Ensembles.J. Yang, S. Rahardja, and S. Rahardja. IEEE Trans. Comput. Soc. Syst., 11 (2): 2843-2852 (April 2024)MiPo: How to Detect Trajectory Outliers with Tabular Outlier Detectors.J. Yang, X. Tan, and S. Rahardja. Remote. Sens., 14 (21): 5394 (2022)Click Fraud Detection: HK-Index for Feature Extraction from Variable-Length Time Series of User Behavior.J. Yang, S. Rahardja, and S. Rahardja. MLSP, page 1-6. IEEE, (2022)Improving Autoencoder-based Outlier Detection with Adjustable Probabilistic Reconstruction Error and Mean-shift Outlier Scoring.X. Tan, J. Yang, J. Chen, S. Rahardja, and S. Rahardja. CoRR, (2023)

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Outlier detection: How to Select k for k-nearest-neighbors-based outlier detectors.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Outlier detection: How to Select k for k-nearest-neighbors-based outlier detectors.

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Outlier detection: How to Select k for k-nearest-neighbors-based outlier detectors.