Who Cited It

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

2018 · 1,459 citations · 1 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.

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding (2018)Detecting Spacecraft Anomalie…Long Short-Term Memory (1997)Long Short-Term MemoryDeep learning in neural networks: An overview (2014)Deep learning in neural netwo…Anomaly detection (2009)Anomaly detectionNonlinear Component Analysis as a Kernel Eigenvalue Problem (1998)Nonlinear Component Analysis …LOF (2000)LOFLong short-term memory recurrent neural network architectures for large scale acoustic mo… (2014)Long short-term memory recurr…Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural… (2019)Robust Anomaly Detection for …
7 of 7 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.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Long Short-Term Memory1997101,359
Deep learning in neural networks: An overview201418,236
Anomaly detection200911,511
Nonlinear Component Analysis as a Kernel Eigenvalue Problem19988,138
LOF20004,009
Long short-term memory recurrent neural network architectures for large scale acoustic mo…20142,986

What cites it, inside the corpus

PaperYearCited
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural…20191,627

Links

DOI · Open access copy · OpenAlex record

Topics

Anomaly Detection Techniques and ApplicationsComputer Science
Time Series Analysis and ForecastingComputer Science

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • 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.
  • supports22 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

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

sha256 88a60cdbb94c6a13…