Rehan Akbani

Artificial Intelligence · 2004–2019

A researcher in the Science corpus: 40 papers; trusts 3 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Rehan Akbani trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Nathalie Japkowicz
  3. Simon Tong
  4. Edward Y. Chang
  5. Gang Wu
  6. Nitesh V. Chawla
  7. Nello Cristianini
  8. John Shawe-Taylor
  9. Kevin W. Bowyer
  10. Foster J. Provost

Who trusts Rehan Akbani overall

  1. Qi Dong
  2. Rukshan Batuwita
  3. Suzan Köknar-Tezel
  4. Nguyen Thai-Nghe
  5. Frank G. Zöllner
  6. Kay Henning Brodersen
  7. Joffrey L. Leevy
  8. Youngkyu Hong
  9. Shaogang Gong
  10. Vasile Palade

Papers from Rehan Akbani's perspective

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

  1. The Nature of Statistical Learning Theory
  2. SMOTE: Synthetic Minority Over-sampling Technique
  3. On Kernel-Target Alignment (Neural Information Processing Systems)
  4. Robust Classification for Imprecise Environments
  5. Support vector machine active learning for image retrieval
  6. Visualizing Data using t-SNE
  7. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
  8. GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers (Genome Biology)
  9. Solution Hybrid Selection with Ultra-long Oligonucleotides for Massively Parallel Targeted Sequencing (Nature Biotechnology)
  10. A CENSUS OF HUMAN CANCER GENES (Nature Reviews. Cancer)

Their papers