Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-28T11:16:04.531865Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2606.04073.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-28T11:16:04.531865Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
68 of 68 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 578f14f2-1ac6-439e-8da7-1439449c55e1 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection A comprehensive review of deep learning-based fault diagnosis approaches for rolling bearings: Advancements and challenges
Reference 1
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Observation e0aade74-d8f7-49b3-a0c0-c2a502c831fb · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Rolling bearing intelligent fault diagnosis towards variable speed and imbalanced samples using multiscale dynamic supervised contrast learning
Reference 2
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Observation 0442b03d-5156-4e56-9b07-202cbf6ce7ae · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Time-frequency supervised contrastive learning via pseudo-labeling: An unsupervised domain adaptation network for rolling bearing fault diagnosis under time-varying speeds
Reference 3
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Observation 8c016237-dff1-4d9e-9f4e-3785c4eece64 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Dynamic model-assisted disentanglement framework for rolling bearing fault diagnosis under time-varying speed conditions
Reference 4
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Observation 7fe66e61-0e92-46f3-b5bd-ac99f8acdb14 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Ccft: The convolution and cross-fusion transformer for fault diagnosis of bearings
Reference 5
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Observation f8604ab3-a3b1-4b6e-bf2f-af2def1f2d82 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection A novel method for rolling bearing fault diagnosis based on gramian angular field and cnn-vit
Reference 6
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Observation f0789e83-f7ab-4abd-a69b-8487a70e7a10 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection A deep learning-based method for bearing fault diagnosis with few-shot learning
Reference 7
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Observation 8c2441a9-a0c6-4481-9013-704aa6531664 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Msff-net: Multi-sensor frequency-domain feature fusion network with lightweight 1d cnn for bearing fault diagnosis
Reference 8
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Observation aa7c8b2f-1993-4399-a025-1da3a40292e1 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Multi-sensor fusion rolling bearing intelligent fault diagnosis based on vmd and ultra-lightweight googlenet in industrial environments
Reference 9
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Observation a8f9bf79-4f64-47e7-a6df-c85ab17f9c18 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis
Reference 10
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Observation 78fbf3a7-3932-486d-a83d-f7a94a5194e7 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Mrcfn: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
Reference 11
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Observation 10fac3b1-3309-43aa-83c5-c5689cfacc3c · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Agfcn: A bearing fault diagnosis method for high-speed train bogie under complex working conditions
Reference 12
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Observation 14f2b692-f1ef-4b4a-9192-1b39ad17a4b1 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Zero-sample fault diagnosis of rolling bearings via fault spectrum knowledge and autonomous contrastive learning
Reference 13
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Observation e027fd3c-3037-4c8d-b073-bd9c7d84b1e5 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Frequency pattern graph spectrum model and its applications in rolling bearing fault diagnosis
Reference 14
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Observation 18d7c14d-3dfa-4e73-9a76-6c73e4c3d223 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Intelligent diagnosis of rolling bearings under cross-domain missing data: A lightweight complex domain imputation and unsupervised time--frequency alignment approach
Reference 15
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Observation af3bb75e-6d87-4897-9e7f-1cf653a08350 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Deep learning for time series anomaly detection: A survey
Reference 16
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Observation 50078641-d690-4200-8afb-2a887eab12ef · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection The elephant in the room: Towards a reliable time-series anomaly detection benchmark
Reference 17
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Observation 37c9c61d-3d91-457d-9901-5d16ef4f3ea9 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Learning multi-pattern normalities in the frequency domain for efficient time series anomaly detection
Reference 19
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Observation b58905f5-fb93-49e3-bffd-0dcd85c08d2f · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Unraveling the ‘anomaly’in time series anomaly detection: a self-supervised tri-domain solution
Reference 20
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Observation 9713084d-ecf3-494e-a0a1-ca0b495183e4 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Temporal-frequency masked autoencoders for time series anomaly detection
Reference 21
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Observation 409e1ee2-c02f-42ef-8707-681a369cfb76 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Interdependency matters: graph alignment for multivariate time series anomaly detection
Reference 24
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Observation 47ed5a9a-44d4-46c2-8c8e-2bf48f0cd743 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Catch: Channel-aware multivariate time series anomaly detection via frequency patching
Reference 25
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Observation e924902e-cb65-45d1-85c0-2f07b3fe91f7 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Towards a general time series anomaly detector with adaptive bottlenecks and dual adversarial decoders
Reference 26
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Observation 1dfb3133-55aa-44ef-b70f-6811b724392a · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Learn hybrid prototypes for multivariate time series anomaly detection
Reference 27
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Observation 0872c662-dccb-4134-847b-89d76d365c05 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Carla: Self-supervised contrastive representation learning for time series anomaly detection
Reference 28
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Observation 992bcb70-f4f0-4d2d-bfa2-f81dc5bf4059 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Rtdetector: Deep transformer networks for time series anomaly detection based on reconstruction trend
Reference 30
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Observation 42f5c580-5d9a-4243-9305-dd838d5c1eb7 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Bearing data center: Apparatus & procedures
Reference 31
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Observation 353e9072-18e1-4b6b-987a-c4db45ce6d3d · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2009 phm challenge competition data set
Reference 32
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Observation caf524d5-97d3-4d2b-98dd-19ff0e456693 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Xjtu-sy bearing datasets
Reference 33
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Observation 4e45e88c-25c5-42a4-859c-305aa717ee43 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Ims bearings
Reference 34
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Observation df06e990-fefd-41b3-afef-4ac526d16c28 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Krishna, Marine Bruel, Qinghua Liu, Mingyi Huang, Themis Palpanas, Ruey S
Reference 35
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Observation 323b8893-c4ae-4262-81b8-5282c0191c9e · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Tsay, Themis Palpanas, and Michael J
Reference 36
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Observation 09707339-e4e2-4245-92be-9d565a716f3a · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection AIP Advances , volume=
Reference 37
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Observation 97479d18-5fee-46ef-b02d-aae21742d760 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Reliability Engineering & System Safety , volume=
Reference 38
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Observation be961859-7b40-4a9e-8459-277948a7219a · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Advanced Engineering Informatics , volume=
Reference 39
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Observation 47ef80ba-a517-47ab-9cf3-b062b2bb2092 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection IEEE/ASME Transactions on Mechatronics , volume=
Reference 40
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Observation bf739431-b6ff-4c8c-8d07-e3b9b9ada0b9 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Sensors , volume=
Reference 41
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Observation 4e091ee5-38e7-43c3-a336-8eb2900c3e49 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Sensors , volume=
Reference 42
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Observation 7a689760-5acb-4df3-b658-90c0cdaee741 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Sensors , volume=
Reference 43
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Observation 706b3f32-4a1b-4576-b63b-98015927b1b5 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Digital Signal Processing , volume=
Reference 44
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Observation 10b05ebd-83e1-4a00-8dd6-afbd158ca8a8 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Advanced Engineering Informatics , volume=
Reference 45
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Observation eb130d9d-118e-416e-a1eb-022f864d0eff · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Reliability Engineering & System Safety , volume=
Reference 46
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Observation 0a1b36c2-8d00-4c21-b9fe-b91179eb9e25 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Expert Systems with Applications , volume=
Reference 47
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Observation 4ab26389-df30-41c7-87b1-051b7d8f832b · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Mechanical Systems and Signal Processing , volume=
Reference 48
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Observation 74a8e601-1d0a-49e8-8a7d-2701e431ecf0 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Expert Systems with Applications , volume=
Reference 49
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Observation e2dbd8a6-9b4e-4de1-a554-b8ad29ff4a27 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Mechanical Systems and Signal Processing , volume=
Reference 50
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Observation 042bb360-3f20-4229-af4a-e0083cbc71c4 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Mechanical Systems and Signal Processing , volume=
Reference 51
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Observation 868a9534-5f37-415a-8a37-6eaa67ed830a · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection ACM Computing Surveys , volume=
Reference 52
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Observation f0de0b4d-c54d-4e1a-8e70-2cc273b0d673 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Advances in Neural Information Processing Systems , volume=
Reference 53
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Observation 97dca71c-47ff-4e07-9724-99c97f89f130 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection TAB: Unified Benchmarking of Time Series Anomaly Detection Methods
Reference 54
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Observation 129b100d-a5b3-4ea6-8529-27130d3784b3 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2024 IEEE 40th International Conference on Data Engineering (ICDE) , pages=
Reference 55
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Observation cbc1279d-f080-4721-bd1c-1784c47dcf01 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2024 IEEE 40th International Conference on Data Engineering (ICDE) , pages=
Reference 56
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Observation 4554d154-9edc-4686-9116-25181407f64f · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2024 IEEE 40th international conference on data engineering (ICDE) , pages=
Reference 57
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Observation e9aa5b83-fd62-4b6c-bd0c-6615a3b08176 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Reference 58
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Observation bd694b6e-3178-4692-8db5-2bb4a618471e · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection
Reference 59
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Observation d24db917-adb9-47bf-af18-f7736cafbbc1 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2024 IEEE International Conference on Data Mining (ICDM) , pages=
Reference 60
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Observation 71431451-f9a3-4b40-9840-79d332d15044 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection International conference on learning representations , volume=
Reference 61
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Observation 283619e4-b12f-46cd-837b-d4c37bac24d6 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection International Conference on Learning Representations , volume=
Reference 62
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Observation b6e09a66-a7ed-4fbe-8240-992d3f27321e · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection The Thirteenth International Conference on Learning Representations , year=
Reference 63
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Observation 3e74c1f2-e2ec-49e0-be03-1238593b7d28 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Pattern Recognition , volume=
Reference 64
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Observation 22c5b715-db9a-4c34-8fb9-fa708da7e27e · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
Reference 65
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Observation d4237471-6428-4c57-a768-94810532415d · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25, J
Reference 66
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Observation 1a7b06e8-4173-48c7-b808-280d46052c7e · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2024 , howpublished=
Reference 67
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Observation bea9b6bb-7b8e-4c7b-9d24-7e702b9d112b · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2009 , howpublished=
Reference 68
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Observation c2e13aea-10d7-4409-a0cc-42c4ff9edaaf · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2021 , howpublished=
Reference 69
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Observation c89d686c-3acf-40be-8f44-e57d48fcbbf8 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection 2023 , howpublished=
Reference 70
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Observation 2192f59c-9a17-4f0e-9566-783844fbe1d1 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection Proceedings of the VLDB Endowment , volume=
Reference 71
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Observation 0e0db1b8-fb84-4bc4-b8ce-ac5e9d407c55 · outbound
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection The VLDB Journal , volume=
Reference 72
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