Earo Wang

Signal Processing · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 6 citations into it; #4,158 of 7,572 by trust here, #5,340 by citations

Whom Earo Wang trusts overall

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

1. Eamonn J. Keogh
2. Rob J Hyndman
3. Kiyoung Yang
4. Xiaozhe Wang
5. Bimal Viswanath

Who trusts Earo Wang overall

1. Kasun Bandara
2. Yanfei Kang
3. Rob J Hyndman
4. Christoph Bergmeir
5. Slawek Smyl

Papers from Earo Wang's perspective

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

1. Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
2. Finding surprising patterns in a time series database in linear time and space (Knowledge Discovery and Data Mining)
3. HOT SAX: efficiently finding the most unusual time series subsequence (Industrial Conference on Data Mining)
4. Highly Comparative Feature-Based Time-Series Classification
5. STL : A Seasonal-Trend Decomposition Procedure Based on Loess
6. Characteristic-Based Clustering for Time Series Data
7. Aberrant Behavior Detection in Time Series for Network Monitoring (LiSA)
8. R: A language and environment for statistical computing.
9. Towards Detecting Anomalous User Behavior in Online Social Networks (USENIX Security Symposium)
10. A PCA-based similarity measure for multivariate time series (ACM International Workshop on Multimedia Databases)

Their papers

• Large-Scale Unusual Time Series Detection (2015) — 203 citations
• forecast: Forecasting functions for time series and linear models (2018) — 1,092 citations