Thorsten Papenbrock

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Signal Processing — 22 citations into it

Whom Thorsten Papenbrock trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Rfdo 2XWOLHUV
2. Eamonn J. Keogh
3. Lovekesh Vig
4. Peter J. Rousseeuw
5. Mayu Sakurada
6. Markus Goldstein
7. Junshui Ma
8. Michael Hahsler

Papers from Thorsten Papenbrock's perspective

Ordered by how strongly the researchers Thorsten Papenbrock trusts endorse each paper. Same corpus, a different order for every researcher.

1. Anomaly detection: A survey
2. LOF: identifying density-based local outliers
3. HOT SAX: efficiently finding the most unusual time series subsequence (Industrial Conference on Data Mining)
4. Long Short Term Memory Networks for Anomaly Detection in Time Series (The European Symposium on Artificial Neural Networks)
5. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
6. Anomaly detection in ECG time signals via deep long short-term memory networks (International Conference on Data Science and Advanced Analytics)
7. Discovering cluster-based local outliers (Pattern Recognition Letters)
8. LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection (arXiv.org)
9. Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding (Knowledge Discovery and Data Mining)
10. Isolation Forest

Their papers

• Anomaly Detection in Time Series: A Comprehensive Evaluation (2022) — 613 citations