Anthony J. Bagnall

Signal Processing · 2001–2021

A researcher in the Science corpus: 10 papers; trusts 52 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Anthony J. Bagnall trusts overall

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

  1. Eamonn J. Keogh
  2. Jason Lines
  3. Jessica Lin
  4. Lexiang Ye
  5. Pierre-Francois Marteau
  6. Jon Hills
  7. Jaka Demsar
  8. Youngseon Jeong
  9. J. Ross Quinlan
  10. Houtao Deng

Who trusts Anthony J. Bagnall overall

  1. Mark Harman
  2. Hassan Ismail Fawaz
  3. Andrea Arcuri
  4. Charlotte Pelletier
  5. Jean-Yves Franceschi
  6. Angus Dempster
  7. Geoffrey I. Webb
  8. Jason Lines
  9. Germain Forestier
  10. Rohit J. Kate

Papers from Anthony J. Bagnall's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Querying and mining of time series data: experimental comparison of representations and distance measures (Proceedings of the VLDB Endowment)
  4. Going deeper with convolutions
  5. Locally adaptive dimensionality reduction for indexing large time series databases (ACM SIGMOD Conference)
  6. Exact indexing of dynamic time warping (Knowledge and Information Systems)
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Statistical Comparisons of Classifiers over Multiple Data Sets

Their papers