Jon Hills

Signal Processing · 2012–2015

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Jon Hills trusts overall

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

  1. Eamonn J. Keogh
  2. M. Bober
  3. Jason Lines
  4. Lexiang Ye
  5. Abdullah Mueen
  6. Youngseon Jeong
  7. Juan José Rodríguez Diez
  8. Mark A. Hall
  9. Longin Jan Latecki
  10. Thanawin Rakthanmanon

Who trusts Jon Hills overall

  1. Anthony J. Bagnall
  2. Jason Lines
  3. Hassan Ismail Fawaz
  4. Josif Grabocka
  5. Rohit J. Kate
  6. Germain Forestier
  7. Nicolas Schilling
  8. Aaron Bostrom
  9. Jonathan Weber

Papers from Jon Hills's perspective

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

  1. Querying and mining of time series data: experimental comparison of representations and distance measures (Proceedings of the VLDB Endowment)
  2. Experiencing SAX: a novel symbolic representation of time series (Data mining and knowledge discovery)
  3. A shapelet transform for time series classification (Knowledge Discovery and Data Mining)
  4. C4.5: Programs for Machine Learning
  5. Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping (Knowledge Discovery and Data Mining)
  6. A time series forest for classification and feature extraction (Information Sciences)
  7. The WEKA data mining software: an update
  8. Time Warp Edit Distance with Stiffness Adjustment for Time Series Matching (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  9. Classification of time series by shapelet transformation (Data mining and knowledge discovery)
  10. Time series classification with ensembles of elastic distance measures (Data mining and knowledge discovery)

Their papers