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Found 7 papers, 1 papers with code
GADformer: A Transparent Transformer Model for Group Anomaly Detection on Trajectories
Hence, this paper introduces GADformer, a BERT-based model for attention-driven GAD on trajectories in unsupervised and semi-supervised settings.
Fact or Artifact? Revise Layer-wise Relevance Propagation on various ANN Architectures
LRP is often used in the context of image classification.
CoMadOut -- A Robust Outlier Detection Algorithm based on CoMAD
Unsupervised learning methods are well established in the area of anomaly detection and achieve state of the art performances on outlier data sets.
Layer-wise Relevance Propagation for Echo State Networks applied to Earth System Variability
We also show how ESNs can be used not only for time series prediction but also for image classification: Our ESN model serves as a detector for El Nino Southern Oscillation (ENSO) from sea surface temperature anomalies.
Enhancing cluster analysis via topological manifold learning
We discuss topological aspects of cluster analysis and show that inferring the topological structure of a dataset before clustering it can considerably enhance cluster detection: theoretical arguments and empirical evidence show that clustering embedding vectors, representing the structure of a data manifold instead of the observed feature vectors themselves, is highly beneficial.
On Event-Driven Knowledge Graph Completion in Digital Factories
Smooth operation of such factories requires that the machines and engineering personnel that conduct their monitoring and diagnostics share a detailed common industrial knowledge about the factory, e. g., in the form of knowledge graphs.
Minimizing the Number of Matching Queries for Object Retrieval
In this paper we address an approach complementary to indexing in order to improve the runtimes of retrieval by querying only the most promising keypoint descriptors, as this affects matching runtimes linearly and can therefore lead to increased efficiency.
