Aaron Bostrom
Signal Processing · 2015–2021
A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 54 citations into it; #2,276 of 7,572 by trust here, #1,820 by citations
- Artificial Intelligence — 35 citations into it; #19,764 of 35,345 by trust here, #14,718 by citations
- Economics and Econometrics — 26 citations into it; #7,989 of 23,481 by trust here, #10,133 by citations
- Evaluation & Benchmarks — 5 citations into it
Whom Aaron Bostrom trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jason Lines
- Eamonn J. Keogh
- Anthony J. Bagnall
- Pierre-Francois Marteau
- Youngseon Jeong
- Jessica Lin
- Lexiang Ye
- Houtao Deng
- Jaka Demsar
- J. Ross Quinlan
Who trusts Aaron Bostrom overall
- Hassan Ismail Fawaz
- Angus Dempster
- Jean-Yves Franceschi
- Anthony J. Bagnall
- Charlotte Pelletier
- Geoffrey I. Webb
Papers from Aaron Bostrom's perspective
Ordered by how strongly the researchers Aaron Bostrom trusts endorse each paper. Same corpus, a different order for every researcher.
- Querying and mining of time series data: experimental comparison of representations and distance measures (Proceedings of the VLDB Endowment)
- Locally adaptive dimensionality reduction for indexing large time series databases (ACM SIGMOD Conference)
- Experiencing SAX: a novel symbolic representation of time series (Data mining and knowledge discovery)
- On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
- A shapelet transform for time series classification (Knowledge Discovery and Data Mining)
- Going deeper with convolutions
- Word image matching using dynamic time warping (2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.)
- C4.5: Programs for Machine Learning
- Support-Vector Networks
- Classification of time series by shapelet transformation (Data mining and knowledge discovery)
Their papers
- The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances (2016) — 1,466 citations
- Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles (2015) — 470 citations
- HIVE-COTE 2.0: a new meta ensemble for time series classification (2021) — 342 citations
- The UEA multivariate time series classification archive, 2018 (2018) — 616 citations