Shashank Singh

Artificial Intelligence · with Ma · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shashank Singh trusts overall

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

  1. Jerome H. Friedman
  2. Stephen E. Robertson
  3. Andrew P. Bradley
  4. Gerard A. Salton
  5. Radim Rehurek

Papers from Shashank Singh's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. Term-Weighting Approaches in Automatic Text Retrieval
  3. The use of the area under the ROC curve in the evaluation of machine learning algorithms
  4. Understanding inverse document frequency: on theoretical arguments for IDF
  5. Learning word embeddings efficiently with noise-contrastive estimation
  6. A clustering algorithm based on graph connectivity (Information Processing Letters)
  7. The relationship between Precision-Recall and ROC curves
  8. Software Framework for Topic Modelling with Large Corpora
  9. Quantifying similarity between motifs (Genome Biology)
  10. Enhancer-promoter interactions are encoded by complex genomic signatures on looping chromatin (Nature Genetics)

Their papers