Thanawin Rakthanmanon

Signal Processing · 2012–2013

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Thanawin Rakthanmanon trusts overall

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

  1. Eamonn J. Keogh
  2. David Goldberg
  3. Lexiang Ye
  4. Jin Shieh
  5. Jeremy D. Buhler
  6. Jacob O. Wobbrock
  7. Jonathan Alon
  8. Hui Ding
  9. Xiaoyue Wang
  10. Martin Tompa

Who trusts Thanawin Rakthanmanon overall

  1. Ben D. Fulcher
  2. John Paparrizos
  3. Zhicheng Cui
  4. Colin Raffel
  5. Zhiguang Wang
  6. Nick S. Jones
  7. Chin-Chia Michael Yeh
  8. Luis Gravano
  9. Yixin Chen
  10. Jon Hills

Papers from Thanawin Rakthanmanon's perspective

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

  1. On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
  2. Pattern Extraction for Time Series Classification (European Conference on Principles of Data Mining and Knowledge Discovery)
  3. Querying and mining of time series data: experimental comparison of representations and distance measures (Proceedings of the VLDB Endowment)
  4. An index-based approach for similarity search supporting time warping in large sequence databases (Proceedings / International Conference on Data Engineering)
  5. Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes (ACM Symposium on User Interface Software and Technology)
  6. Finding Motifs Using Random Projections (Annual International Conference on Research in Computational Molecular Biology)
  7. What every computer scientist should know about floating-point arithmetic
  8. iSAX: indexing and mining terabyte sized time series (Knowledge Discovery and Data Mining)
  9. A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  10. A shapelet transform for time series classification (Knowledge Discovery and Data Mining)

Their papers