S. Dimov

Artificial Intelligence · 2005

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Dimov trusts overall

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

  1. Sergios Theodoridis
  2. Maria Halkidi

Who trusts S. Dimov overall

  1. Dana Van Aken
  2. Martin Caletka
  3. Mikael Kågebäck

Papers from S. Dimov's perspective

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

  1. Estimating the number of clusters in a dataset via the gap statistic
  2. Pattern recognition
  3. Cluster validity methods: part I (SGMD)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Distilling the Knowledge in a Neural Network (arXiv.org)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Layer Normalization
  9. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
  10. Understanding the difficulty of training deep feedforward neural networks

Their papers