Ziv Shkedy

Artificial Intelligence · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ziv Shkedy trusts

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

  1. Eric R. Ziegel (in Artificial Intelligence)
  2. Alan Y. Chiang (in Statistics and Probability)
  3. Niko Speybroeck (in Agronomy and Crop Science)

Papers from Ziv Shkedy's perspective

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

  1. Direct Clustering of a Data Matrix
  2. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
  3. Coupled two-way clustering analysis of gene microarray data. (Proceedings of the National Academy of Sciences of the United States of America)
  4. Non-negative Matrix Factorization with Sparseness Constraints (Journal of machine learning research)
  5. Plaid models for gene expression data
  6. Biclustering algorithms for biological data analysis: a survey (IEEE/ACM Transactions on Computational Biology & Bioinformatics)
  7. Discovering statistically significant biclusters in gene expression data (Intelligent Systems in Molecular Biology)
  8. The Elements of Statistical Learning
  9. Biclustering of Expression Data (Intelligent Systems in Molecular Biology)
  10. Large-scale analysis of the human and mouse transcriptomes (Proceedings of the National Academy of Sciences of the United States of America)

Their papers