Ashutosh Kumar Singh

Artificial Intelligence · with Buyya · 2019

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

Subfields

Whom Ashutosh Kumar Singh trusts overall

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

  1. Leo Breiman
  2. Peter Buhlmann
  3. Ludmila I. Kuncheva
  4. Robert E. Schapire

Who trusts Ashutosh Kumar Singh overall

  1. Zhi-Hua Zhou
  2. Jiwei Li
  3. Azal Ahmad Khan
  4. Baljinder Ghotra
  5. Amal Asselman
  6. Shane McIntosh
  7. Chakkrit Kla Tantithamthavorn
  8. Elie Bursztein
  9. Alexandra L’Heureux
  10. Preeti Mishra

Papers from Ashutosh Kumar Singh's perspective

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

  1. Bagging Predictors
  2. Random Forests
  3. Boosting Algorithms: Regularization, Prediction and Model Fitting. Rejoinder.
  4. The Nature of Statistical Learning Theory
  5. ImageNet classification with deep convolutional neural networks
  6. Boosting the margin: A new explanation for the effectiveness of voting methods
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. A decision-theoretic generalization of on-line learning and an application to boosting
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers