CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection | Paper Citation Record

Observation 6e66d2b6-66b2-4abf-b943-3b478c921d98 · outbound

This paper cites Deep learning for time series anomaly detection: A survey.ACM Computing Surveys, 57(1):1– 42, 2024.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Deep learning for time series anomaly detection: A survey.ACM Computing Surveys, 57(1):1– 42, 2024

Reference 1

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Unresolved cited work

Reference 2

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Observation d4b84b96-a6e5-4f8d-8717-d1cd48a0e4d3 · outbound

This paper cites A review on out- lier/anomaly detection in time series data.ACM computing surveys (CSUR), 54(3):1–33, 2021.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection A review on out- lier/anomaly detection in time series data.ACM computing surveys (CSUR), 54(3):1–33, 2021

Reference 3

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Observation fb426b16-53ef-4bd8-831c-7edf5cdbec90 · outbound

This paper cites Credit card fraud detection using advanced transformer model.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Credit card fraud detection using advanced transformer model

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Observation 72017f59-cd4d-47e1-92b3-16e864583f97 · outbound

This paper cites Ecg-net: A deep lstm autoencoder for detecting anomalous ecg.Engineering Applications of Artificial Intelligence, 124:106484, 2023.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Ecg-net: A deep lstm autoencoder for detecting anomalous ecg.Engineering Applications of Artificial Intelligence, 124:106484, 2023

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Observation 51c3b01e-d1fa-4e9b-bcec-8c6dfdcb6484 · outbound

This paper cites Anomaly detection in event- triggered traffic time series via similarity learning.IEEE Transactions on Dependable and Secure Computing, 22(2):888–902, 2024.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Anomaly detection in event- triggered traffic time series via similarity learning.IEEE Transactions on Dependable and Secure Computing, 22(2):888–902, 2024

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Observation 5b07fc48-fef0-4e3d-9f39-3ca634b19062 · outbound

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

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Lof: identifying density-based local outliers

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Observation 015661a2-cd8a-4bbc-88e6-278942fec5f5 · outbound

This paper cites Isolation forest.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Isolation forest

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Observation 140f69fa-fc3f-4299-a642-7179c66ac133 · outbound

This paper cites Support vector method for novelty detection.Advances in neural information processing systems, 12, 1999.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Support vector method for novelty detection.Advances in neural information processing systems, 12, 1999

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Observation 7d87f485-4c5a-4490-afa5-a94a099c25e1 · outbound

This paper cites Tsinr: capturing temporal continuity via implicit neural representations for time series anomaly detection.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Tsinr: capturing temporal continuity via implicit neural representations for time series anomaly detection

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Observation 441cd92e-e46d-4bc7-958e-40e48d9f81df · outbound

This paper cites Sarad: Spatial association- aware anomaly detection and diagnosis for multivariate time series.Advances in Neural Information Processing Systems, 37:48371–48410, 2024.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Sarad: Spatial association- aware anomaly detection and diagnosis for multivariate time series.Advances in Neural Information Processing Systems, 37:48371–48410, 2024

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Observation 91e7ff7b-f412-428c-9977-4fdd3e8d83e6 · outbound

This paper cites Crossad: Time series anomaly detection with cross-scale associations and cross-window modeling.arXiv preprint arXiv:2510.12489, 2025.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Crossad: Time series anomaly detection with cross-scale associations and cross-window modeling.arXiv preprint arXiv:2510.12489, 2025

Reference 12

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Observation beb3d9a2-8e20-4b08-953e-e203bbb73b62 · outbound

This paper cites Mlp-mixer based masked autoen- coders are effective, explainable and robust for time series anomaly detection.Proceedings of the VLDB Endowment, 18(3):798–811, 2024.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Mlp-mixer based masked autoen- coders are effective, explainable and robust for time series anomaly detection.Proceedings of the VLDB Endowment, 18(3):798–811, 2024

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This paper cites Noise matters: Cross contrastive learning for flink anomaly detection.Proceedings of the VLDB Endowment, 18(4):1159–1168, 2024.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Noise matters: Cross contrastive learning for flink anomaly detection.Proceedings of the VLDB Endowment, 18(4):1159–1168, 2024

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This paper cites Temporal- frequency masked autoencoders for time series anomaly detection.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Temporal- frequency masked autoencoders for time series anomaly detection

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Observation c08418c2-dfa4-4548-85d7-f577e8baf39c · outbound

This paper cites CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching

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Observation c027f3c0-8587-42b0-b77f-5a82a5d3554d · outbound

This paper cites Tab: Unified benchmarking of time series anomaly detection methods.Proceedings of the VLDB Endowment, 18(9):2775–2789, 2025.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Tab: Unified benchmarking of time series anomaly detection methods.Proceedings of the VLDB Endowment, 18(9):2775–2789, 2025

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Observation 99faf9b8-868d-4171-a634-be4e4deaed0c · outbound

This paper cites An introduction to outlier analysis.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection An introduction to outlier analysis

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Observation ef20e3e6-bcf6-4c1d-af0f-cdc7cc7a6e61 · outbound

This paper cites Anomaly detection in time series: a comprehensive evaluation.Proceedings of the VLDB Endowment, 15(9):1779–1797, 2022.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Anomaly detection in time series: a comprehensive evaluation.Proceedings of the VLDB Endowment, 15(9):1779–1797, 2022

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Observation 138ec7ba-d226-470f-ad0a-4eb2f00004d4 · outbound

This paper cites itransformer: Inverted transformers are effective for time series forecasting.The Twelfth International Conference on Learning Representations (ICLR), 2024.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection itransformer: Inverted transformers are effective for time series forecasting.The Twelfth International Conference on Learning Representations (ICLR), 2024

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This paper cites One fits all: Power general time series analysis by pretrained lm.Advances in neural information processing systems, 36:43322–43355, 2023.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection One fits all: Power general time series analysis by pretrained lm.Advances in neural information processing systems, 36:43322–43355, 2023

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This paper cites Dynamic neural networks: A survey.IEEE transactions on pattern analysis and machine intelligence, 44(11):7436–7456, 2021.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Dynamic neural networks: A survey.IEEE transactions on pattern analysis and machine intelligence, 44(11):7436–7456, 2021

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This paper cites Frugalgpt: How to use large language models while reducing cost and improving performance.Trans.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Frugalgpt: How to use large language models while reducing cost and improving performance.Trans

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

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Tranad: Deep transformer networks for anomaly detection in multivariate time series data.Proc

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This paper cites Uci machine learning repository, 2007.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Uci machine learning repository, 2007

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This paper cites A comparative study of htm and other neural network models for online sequence learning with streaming data.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection A comparative study of htm and other neural network models for online sequence learning with streaming data

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This paper cites Gecco industrial challenge 2018 dataset.Tech.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Gecco industrial challenge 2018 dataset.Tech

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

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Detecting spacecraft anomalies using lstms and nonparametric dynamic thresholding

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

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Practical approach to asynchronous multivariate time series anomaly detection and localization

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Ultrafast local outlier detection from a data stream with stationary region skipping

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This paper cites Merlion: A Machine Learning Library for Time Series.

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Merlion: A Machine Learning Library for Time Series

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Anomaly detection using autoencoders with nonlinear dimensionality reduction

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

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Anomaly transformer: Time series anomaly detection with association discrepancy

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

CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Dcdetector: Dual attention contrastive representation learning for time series anomaly detection

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Timesnet: Temporal 2d-variation modeling for general time series analysis

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection A time series is worth 64 words: Long-term forecasting with transformers

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Calf: Aligning llms for time series forecasting via cross-modal fine-tuning

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Graph neural network-based anomaly detection in multivariate time series

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Beyond sharing: Conflict-aware multivariate time series anomaly detection

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Robust anomaly detection for multivariate time series through stochastic recurrent neural network

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Usad: Unsupervised anomaly detection on multivariate time series

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Are transformers effective for time series forecasting? InProceedings of the AAAI conference on artificial intelligence, volume 37, pages 11121–11128, 2023

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Timexer: Empowering transformers for time series forecasting with exogenous variables.Advances in Neural Information Processing Systems, 37:469–498, 2024

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Robust real-time face detection.International journal of computer vision, 57(2):137–154, 2004

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Cascade r-cnn: Delving into high quality object detection

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Make your vit-based multi-view 3d detectors faster via token compression

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Routerdc: Query-based router by dual contrastive learning for assembling large language models.Advances in Neural Information Processing Systems, 37:66305–66328, 2024

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Cascadia: A cascade serving system for large language models.arXiv e-prints, pages arXiv–2506, 2025

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection A Survey on Efficient Inference for Large Language Models

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection Data shunt: Collaboration of small and large models for lower costs and better performance

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CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection A novel anomaly detection scheme based on principal component classifier

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