Michail Vlachos

Artificial Intelligence · 2002–2016

A researcher in the Science corpus: 5 papers; trusts 26 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Michail Vlachos trusts overall

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

  1. Eamonn J. Keogh
  2. Jon M. Kleinberg
  3. Kaushik Chakrabarti
  4. Byoung-Kee Yi
  5. Chotirat (Ann) Ratanamahatana
  6. Toni M. Rath
  7. Inderjit S. Dhillon
  8. Yunyue Zhu
  9. Okan Arikan
  10. Michael J. Pazzani

Who trusts Michail Vlachos overall

  1. Tak-Chung Fu
  2. Eamonn J. Keogh
  3. Xiang Bai
  4. Jessica Lin
  5. Chotirat (Ann) Ratanamahatana
  6. Kira Radinsky
  7. Brendan Tran Morris
  8. Lei Chen
  9. Philip Ka-Fai Chan
  10. Lei Chen

Papers from Michail Vlachos's perspective

Ordered by how strongly the researchers Michail Vlachos 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Going deeper with convolutions
  8. Et al
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers