In order to remedy the above defects, I propose a log exception detection method based on Fast-Former namely FastTransLog in this paper, and abandon the ...
FastTransLog: A Log-based Anomaly Detection Method based on Fastformer. Yidan Wang* and Xuge Li. School of Computer, Xidian University , Xi'an, Shannxi, China.
Feb 25, 2024 · Li, ''Fasttranslog: A log-based anomaly detection method based on fastformer,'' in Proceedings - 2022 9th International Conference on ...
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May 24, 2023 · This paper proposes an approach called CLDTLog, which introduces contrastive learning and dual-objective tasks in a BERT pre-trained model and performs anomaly ...
Missing: Fastformer. | Show results with:Fastformer.
The MDFULog model uses a novel log resolution method to eliminate the dynamic interference caused by noise. This paper proposes a feature enhancement mechanism ...
3 days ago · FastTransLog: A Log-based Anomaly Detection Method based on Fastformer. Yidan Wang, Xuge Li. 2022, International Conferences on Dependable ...
Feb 3, 2023 · In this paper, we propose an anomaly detection method called FSMFLog based on full semantic information and multi-feature fusion. FSMFLog ...
Feb 9, 2023 · This paper proposes a novel multi-feature deep fusion of an unstable log anomaly detection model (MDFULog) to address the above problems.
Apr 12, 2024 · We propose FastLogAD, a generator-discriminator framework trained to exhibit the capability of generating pseudo-abnormal logs through the Mask-Guided Anomaly ...
Missing: Fastformer. | Show results with:Fastformer.
Dec 31, 2021 · We propose a unified Transformer-based framework for log anomaly detection (\ourmethod{}), which is comprised of the pretraining and adapter-based tuning stage.
Missing: FastTransLog: Fastformer.