Mark H. Montague

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 2001–2002

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Whom Mark H. Montague trusts overall

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

  1. Garrison W. Cottrell
  2. Richard K. Belew
  3. Lambert Schomaker

Who trusts Mark H. Montague overall

  1. Craig Macdonald
  2. Rodrigo Nogueira
  3. Jimmy J. Lin
  4. Jinying Chen
  5. Fang Liu
  6. Iadh Ounis
  7. Hong Yu
  8. Xirong Li
  9. Florian Schroff
  10. Ankush Khandelwal

Papers from Mark H. Montague's perspective

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

  1. Automatic combination of multiple ranked retrieval systems
  2. Fusion Via a Linear Combination of Scores
  3. Variants of the Borda count method for combining ranked classifier hypotheses
  4. Numerical Recipes in C: The Art of Scientific Computing
  5. Going deeper with convolutions
  6. Best practices for convolutional neural networks applied to visual document analysis
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers