Jason Lines

Signal Processing · 2012–2021

A researcher in the Science corpus: 7 papers; trusts 48 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Jason Lines trusts overall

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

  1. Eamonn J. Keogh
  2. Jessica Lin
  3. Lexiang Ye
  4. Jon Hills
  5. Chotirat (Ann) Ratanamahatana
  6. Hui Ding
  7. Anthony J. Bagnall
  8. Lei Chen
  9. Youngseon Jeong
  10. Jaka Demsar

Who trusts Jason Lines overall

  1. Anthony J. Bagnall
  2. Hassan Ismail Fawaz
  3. Rohit J. Kate
  4. Charlotte Pelletier
  5. Zhicheng Cui
  6. Jean-Yves Franceschi
  7. Jon Hills
  8. Geoffrey I. Webb
  9. Germain Forestier
  10. Arthur Le Guennec

Papers from Jason Lines's perspective

Ordered by how strongly the researchers Jason Lines 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. Locally adaptive dimensionality reduction for indexing large time series databases (ACM SIGMOD Conference)
  3. Exact indexing of dynamic time warping (Knowledge and Information Systems)
  4. Experiencing SAX: a novel symbolic representation of time series (Data mining and knowledge discovery)
  5. On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
  6. Discovering similar multidimensional trajectories (Proceedings / International Conference on Data Engineering)
  7. Making Time-Series Classification More Accurate Using Learned Constraints (SDM)
  8. Statistical Comparisons of Classifiers over Multiple Data Sets
  9. Pattern Extraction for Time Series Classification (European Conference on Principles of Data Mining and Knowledge Discovery)
  10. A shapelet transform for time series classification (Knowledge Discovery and Data Mining)

Their papers