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Outlier Interpretation

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network

Songlei Jian, Hongzuo Xu, Yijie Wang, Zhenyu Huang, Yongjun Wang, Fei Li•Sun Apr 18 2021

An optimal attention-guided embedding space with expanded high-level information and rich semantics, and thus outlying behaviors of the queried outlier can be better unfolded, is obtained and ATON can be employed as an additional step of any black-box outlier detector.

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Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution

Khursheed Aurangzeb, Irshad Ullah, Syed Muhammad Hasanat, Musaed A. Alhussein, Muhammad Rizwan, M. S. Anwar•Thu Sep 14 2023

A novel hybrid technique based on long short-term memory (LSTM) and a modified split-convolution (SC) neural network is proposed for single-step and multi-step STLF and shows that the proposed method has less forecasting error, strong generalization capability, and satisfactory performance on multi-horizon.

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