SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering | Paper Citation Record

Observation 5fe128a1-bde2-49c8-bab1-eefb5adb98ad · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting,

Reference 1

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Observation 1320de11-42b2-44de-9ec1-ad8e1c779e38 · outbound

This paper cites Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting,

Reference 2

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Observation bf10d74a-479b-4d25-bf1e-c3fc531cc1ef · outbound

This paper cites Lightgts: A lightweight general time series forecasting model,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Lightgts: A lightweight general time series forecasting model,

Reference 3

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This paper cites Autoformer: Decomposition transformers with Auto-Correlation for long-term series forecasting,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Autoformer: Decomposition transformers with Auto-Correlation for long-term series forecasting,

Reference 4

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Observation ed9a8e58-b9af-470c-b70f-3f8fddd753f2 · outbound

This paper cites Aimts: Augmented series and image contrastive learning for time series classification,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Aimts: Augmented series and image contrastive learning for time series classification,

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Observation 8cd03e42-ec2d-4a81-a224-3722777d43f5 · outbound

This paper cites Catch: Channel-aware multivariate time series anomaly detection via frequency patching,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Catch: Channel-aware multivariate time series anomaly detection via frequency patching,

Reference 7

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Observation 19b37b13-54ae-4cd0-bee6-f97850121abf · outbound

This paper cites Deep Time Series Models: A Comprehensive Survey and Benchmark.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Deep Time Series Models: A Comprehensive Survey and Benchmark

Reference 8

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Observation 77f0880d-5004-4255-ac6e-87cd429fa00b · outbound

This paper cites Tab: Unified benchmarking of time series anomaly detection methods,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Tab: Unified benchmarking of time series anomaly detection methods,

Reference 9

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Observation 02b6892e-5868-4a56-89da-3a3f4838d815 · outbound

This paper cites Towards a general time series anomaly detector with adaptive bottlenecks and dual adversarial decoders,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Towards a general time series anomaly detector with adaptive bottlenecks and dual adversarial decoders,

Reference 10

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Observation cda727dc-9add-41d6-aee8-95b520a28f24 · outbound

This paper cites Crossad: Time series anomaly de- tection with cross-scale associations and cross-window modeling,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Crossad: Time series anomaly de- tection with cross-scale associations and cross-window modeling,

Reference 11

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Observation ce07207b-7cb2-47fd-9cd7-3a13505680a6 · outbound

This paper cites Momemto: Patch-based memory gate model in time series foundation model,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Momemto: Patch-based memory gate model in time series foundation model,

Reference 12

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Observation f138571a-4ced-4b8f-985d-8d4689fe66c7 · outbound

This paper cites Duet: Dual clustering enhanced multivariate time series forecasting,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Duet: Dual clustering enhanced multivariate time series forecasting,

Reference 13

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Observation 8f77397b-b29f-42db-9a8b-363ba643b09b · outbound

This paper cites Mask the redundancy: Evolving masking representation learning for multivariate time-series clustering,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Mask the redundancy: Evolving masking representation learning for multivariate time-series clustering,

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:39:16.723881Z

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Observation e54838e9-df9c-415e-8339-e65334bb9b1f · outbound

This paper cites A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis

Reference 15

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Observation d0376ffb-28f1-4cbc-8e98-8d15d89a7f6c · outbound

This paper cites Lof: identifying density-based local outliers,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Lof: identifying density-based local outliers,

Reference 16

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Observation 2a98f337-56fb-4407-b6e7-fefba5355596 · outbound

This paper cites Enhancing effectiveness of outlier detections for low density patterns,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Enhancing effectiveness of outlier detections for low density patterns,

Reference 17

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Observation 4358fbbe-bc88-4a10-bdf2-1b2c9786fcf0 · outbound

This paper cites Support vector method for novelty detection,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Support vector method for novelty detection,

Reference 18

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Observation c8d756f8-bb48-4992-861d-a9a3adad5dde · outbound

This paper cites Support vector data description,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Support vector data description,

Reference 19

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Observation 43ec7d5b-19f4-4af6-989c-fee869eb681f · outbound

This paper cites Anomaly transformer: Time series anomaly detection with association discrepancy,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Anomaly transformer: Time series anomaly detection with association discrepancy,

Reference 20

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Observation fbbdd760-28b7-47dc-a6f2-1a7f170f7cab · outbound

This paper cites Dcdetector: Dual attention contrastive representation learning for time series anomaly detection,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Dcdetector: Dual attention contrastive representation learning for time series anomaly detection,

Reference 21

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Observation a0ed7e55-2785-43de-ac82-07e8aa8ae2cd · outbound

This paper cites Detecting spacecraft anomalies using lstms and nonparametric dynamic thresholding,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Detecting spacecraft anomalies using lstms and nonparametric dynamic thresholding,

Reference 22

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Observation 40666e2b-3bda-4882-977d-ed93bb7f0530 · outbound

This paper cites Deepant: A deep learning approach for unsupervised anomaly detection in time series,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Deepant: A deep learning approach for unsupervised anomaly detection in time series,

Reference 23

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Observation 16804727-de4d-4f52-892f-9646e9e948ef · outbound

This paper cites Graph neural network-based anomaly detection in multivariate time series,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Graph neural network-based anomaly detection in multivariate time series,

Reference 24

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Observation dc8981c4-54e1-4568-b48e-a3faa245070b · outbound

This paper cites Kan-ad: Time series anomaly detection with kolmogorov–arnold networks,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Kan-ad: Time series anomaly detection with kolmogorov–arnold networks,

Reference 25

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Observation ebd0dbc4-aa0c-4ab7-b9c9-7e9e75ee5773 · outbound

This paper cites Deep autoencoding gaussian mixture model for unsupervised anomaly detection,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Deep autoencoding gaussian mixture model for unsupervised anomaly detection,

Reference 26

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Observation de0dfd85-75b3-4402-be70-d4b4de7e6f05 · outbound

This paper cites Robust anomaly detection for multivariate time series through stochastic recurrent neural network,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Robust anomaly detection for multivariate time series through stochastic recurrent neural network,

Reference 27

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Observation 4ed4352a-f29c-4685-bb87-92f4d1add910 · outbound

This paper cites Beatgan: Anomalous rhythm detection using adversarially generated time series,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Beatgan: Anomalous rhythm detection using adversarially generated time series,

Reference 28

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Observation 98a46a26-6ce3-4242-8ec2-8a5203c77f86 · outbound

This paper cites Usad: Unsupervised anomaly detection on multivariate time series,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Usad: Unsupervised anomaly detection on multivariate time series,

Reference 29

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Observation 056e018e-f49e-4ed5-bd3a-ac3415e0fbac · outbound

This paper cites Multivariate time series anomaly detection and interpretation using hierarchical inter-metric and temporal embedding,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Multivariate time series anomaly detection and interpretation using hierarchical inter-metric and temporal embedding,

Reference 30

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Observation 0238fe8e-834a-400c-91f2-7e398d40c22a · outbound

This paper cites Tranad: Deep transformer networks for anomaly detection in multivariate time series data,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Tranad: Deep transformer networks for anomaly detection in multivariate time series data,

Reference 31

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Observation 4280843b-ab91-4770-a7e6-b3a09bed6ab5 · outbound

This paper cites Timesnet: Temporal 2d-variation modeling for general time series analysis,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Timesnet: Temporal 2d-variation modeling for general time series analysis,

Reference 32

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Observation 591f236d-599d-456d-9ac6-034fceb6c756 · outbound

This paper cites Moderntcn: A modern pure convolution structure for general time series analysis,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Moderntcn: A modern pure convolution structure for general time series analysis,

Reference 33

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Observation 5100b30a-80b2-4b38-b357-cabecebdcea3 · outbound

This paper cites Large memory layers with product keys,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Large memory layers with product keys,

Reference 34

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Observation 4249d501-96e8-44da-8430-025e92604fae · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Retrieval-augmented generation for knowledge-intensive nlp tasks,

Reference 35

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Observation 34da44c8-8b36-4a3b-a3e6-8595e4d34d9d · outbound

This paper cites Augmenting language models with long-term memory,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Augmenting language models with long-term memory,

Reference 36

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Observation 2396c89a-fdd9-4a49-ac2f-c522141fd70c · outbound

This paper cites Mart: Memory-augmented recurrent transformer for coherent video paragraph captioning,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Mart: Memory-augmented recurrent transformer for coherent video paragraph captioning,

Reference 37

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SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Video object segmentation using space-time memory networks,

Reference 38

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Observation 8b86df2a-eb6d-4d71-a4a3-909a9e6bec9a · outbound

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SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Model-based episodic memory induces dynamic hybrid controls,

Reference 39

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Observation 6a9405ff-0462-4ab6-804e-01eb8fab02dd · outbound

This paper cites Prototypical networks for few-shot learning,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Prototypical networks for few-shot learning,

Reference 40

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This paper cites A prototype-oriented frame- work for unsupervised domain adaptation,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering A prototype-oriented frame- work for unsupervised domain adaptation,

Reference 41

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Observation ecd5a6cb-e691-4b79-9df9-b45af2246acb · outbound

This paper cites Learning prototype-oriented set representations for meta-learning,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Learning prototype-oriented set representations for meta-learning,

Reference 42

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Observation b772c14b-daaa-4652-a93d-eb08b656cb10 · outbound

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SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Dual memory units with uncertainty regulation for weakly supervised video anomaly detection,

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Observation 68a64d54-3587-40fa-bd8c-880aa98a717b · outbound

This paper cites Anomaly detection with prototype-guided discriminative latent embeddings,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Anomaly detection with prototype-guided discriminative latent embeddings,

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Observation 6fd13a72-bd69-40fd-a03b-19ea892175dc · outbound

This paper cites A hybrid prototype selection-based deep learning approach for anomaly detection in industrial machines,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering A hybrid prototype selection-based deep learning approach for anomaly detection in industrial machines,

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Observation ab3236e1-d34f-40ca-b54c-9627885c0916 · outbound

This paper cites Semi-supervised anomaly detection with dual prototypes autoencoder for industrial surface inspection,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Semi-supervised anomaly detection with dual prototypes autoencoder for industrial surface inspection,

Reference 46

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Observation af8b83aa-294a-46e8-808c-d252d3f6fb79 · outbound

This paper cites Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection,

Reference 47

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Observation 38d662cc-5492-4721-a5e0-852305378567 · outbound

This paper cites Learning memory-guided normality for anomaly detection,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Learning memory-guided normality for anomaly detection,

Reference 48

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This paper cites Memto: Memory-guided transformer for multivariate time series anomaly detection,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Memto: Memory-guided transformer for multivariate time series anomaly detection,

Reference 49

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This paper cites A time series is worth 64 words: Long-term forecasting with transformers,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering A time series is worth 64 words: Long-term forecasting with transformers,

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This paper cites From similarity to superiority: Channel clustering for time series forecasting,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering From similarity to superiority: Channel clustering for time series forecasting,

Reference 51

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Observation e8a766b2-e185-4878-ab85-4646e93b226b · outbound

This paper cites Twin contrastive learning for online clustering,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Twin contrastive learning for online clustering,

Reference 52

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This paper cites Anomaly detection in streams with extreme value theory,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Anomaly detection in streams with extreme value theory,

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Observation a99d66b5-7b32-4b1d-995c-ec644c83eefa · outbound

This paper cites Practical approach to asynchronous multivariate time series anomaly detection and localization,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Practical approach to asynchronous multivariate time series anomaly detection and localization,

Reference 54

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Observation 8dadea17-fdda-440e-a391-6b618ff70c40 · outbound

This paper cites Swat: A water treatment testbed for research and training on ics security,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Swat: A water treatment testbed for research and training on ics security,

Reference 55

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Observation 8b8e3511-9972-47b9-bbe0-5e8586b0b8ae · outbound

This paper cites Revisiting time series outlier detection: Definitions and benchmarks,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Revisiting time series outlier detection: Definitions and benchmarks,

Reference 56

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Observation 69b7b8a6-3a7d-4184-8e39-dcf5948b9ae4 · outbound

This paper cites Current time series anomaly detection benchmarks are flawed and are creating the illusion of progress,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Current time series anomaly detection benchmarks are flawed and are creating the illusion of progress,

Reference 57

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Observation 9b8f7420-b5bf-419b-bb7f-e7f147854bb3 · outbound

This paper cites A novel anomaly detection scheme based on principal component classifier,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering A novel anomaly detection scheme based on principal component classifier,

Reference 58

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This paper cites Histogram-based outlier score (hbos): A fast unsupervised anomaly detection algorithm,.

SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Histogram-based outlier score (hbos): A fast unsupervised anomaly detection algorithm,

Reference 59

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Observation 5d8c32aa-ca95-4381-b7c2-c6e1cd48cf03 · outbound

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SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Isolation forest,

Reference 60

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SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Loda: Lightweight on-line detector of anomalies,

Reference 61

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Observation c8e5a8b2-5973-4742-a9ca-173c7b899965 · outbound

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Reference 62

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Observation ddbb508c-ab0a-490f-a6b7-42da5c791fb5 · outbound

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SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Unsupervised time series outlier detection with diversity-driven convolutional ensembles,

Reference 63

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Observation 0e7665c4-ad9e-4327-96d4-babc5af792d7 · outbound

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SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering One fits all: Power general time series analysis by pretrained lm,

Reference 64

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Reference 65

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SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Multivariate time series anomaly detection by capturing coarse-grained intra-and inter-variate dependencies,

Reference 66

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Observation e29e1749-0dcc-4c81-b51b-247fa5fb80e4 · outbound

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Reference 67

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Observation dd20d7ea-7e97-48c3-95bd-dec73f73037e · outbound

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Reference 68

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Observation 2d649bfe-145f-45dd-8723-8099147a699b · outbound

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Reference 69

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SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Tfb: Towards comprehensive and fair benchmarking of time series forecasting methods,

Reference 70

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Observation 040a0a00-ed55-4b98-9ed4-5620dcff5b50 · outbound

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SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering Timer: Generative pre-trained transformers are large time series models,

Reference 71

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Observation f29bab05-ecb2-477a-b49d-234911a87eb1 · outbound

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Reference 72

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Reference 73

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Reference 74

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Observation 3069413f-e336-4c07-a55f-dba7c8a1335c · outbound

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Reference 75

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Reference 76

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Reference 77

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Observation 22eb1052-1eb9-4ded-8fce-2177f45055e9 · outbound

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SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering area under the curve

Reference 78

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Pith citing papers