Who Cited It

[No title in the source record — Newcastle University ePrints (Newcastle Univesity)]

n.d. · Newcastle University ePrints (Newcastle Univesity) · 1,494 citations · 2 from inside this corpus

No author records on this work.

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

[No title in the source record — Newcastle University ePrints (Newcastle Univesity)][No title in the source recor…[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics… (2015)[No title in the source recor…Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2015)Batch Normalization: Accelera…Anomaly detection (2009)Anomaly detectionAutomatic differentiation in PyTorch (2017)Automatic differentiation in …A Survey of Outlier Detection Methodologies (2004)A Survey of Outlier Detection…Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Disco… (2017)Unsupervised Anomaly Detectio…A review of novelty detection (2014)A review of novelty detectionNovelty detection: a review—part 1: statistical approaches (2003)Novelty detection: a review—p…Learning Temporal Regularity in Video Sequences (2016)Learning Temporal Regularity …Deep Learning for Anomaly Detection: A Review (2020)Deep Learning for Anomaly Det…Towards Total Recall in Industrial Anomaly Detection (2022)Towards Total Recall in Indus…
11 of 11 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…201550,396
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…201524,404
Anomaly detection200911,511
Automatic differentiation in PyTorch201711,099
A Survey of Outlier Detection Methodologies20043,382
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Disco…20172,413
A review of novelty detection20141,647
Novelty detection: a review—part 1: statistical approaches20031,431
Learning Temporal Regularity in Video Sequences20161,407

What cites it, inside the corpus

PaperYearCited
Deep Learning for Anomaly Detection: A Review20201,731
Towards Total Recall in Industrial Anomaly Detection20221,560

Links

OpenAlex record

Topics

Anomaly Detection Techniques and ApplicationsComputer Science
Digital Media Forensic DetectionComputer Science
Adversarial Robustness in Machine LearningComputer Science

Is this record sound?

suspect

Several fields of this record are missing or contradict each other. Treat its figures with suspicion — it is shown unaltered because correcting a source's record silently is worse than showing you the problem.

  • weakensThe source lists no authors for this work at all, so there is nobody to attribute it to and it appears on no author page.
  • supports39 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • weakensThe source record carries no title.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:58+00:00.

sha256 88a60cdbb94c6a13…