Jessica Lin

Signal Processing · 2002–2020

A researcher in the Science corpus: 6 papers; trusts 37 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

Whom Jessica Lin trusts overall

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

  1. Eamonn J. Keogh
  2. Byoung-Kee Yi
  3. Jeremy D. Buhler
  4. Kaushik Chakrabarti
  5. Stefano Lonardi
  6. Konstantinos Kalpakis
  7. Pavel A. Pevzner
  8. Christos Faloutsos
  9. Bill Yuan-chi Chiu
  10. Michail Vlachos

Who trusts Jessica Lin overall

  1. Rohit J. Kate
  2. Eamonn J. Keogh
  3. Jason Lines
  4. Anthony J. Bagnall
  5. Tak-Chung Fu
  6. Pablo Montero
  7. Varun Chandola
  8. Zhiguang Wang
  9. Manish Gupta
  10. Fabien Pouget

Papers from Jessica Lin's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Fast Time Sequence Indexing for Arbitrary Lp Norms (Very Large Data Bases Conference)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Using Dynamic Time Warping to Find Patterns in Time Series
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Locally adaptive dimensionality reduction for indexing large time series databases (ACM SIGMOD Conference)
  10. ImageNet: A large-scale hierarchical image database

Their papers