Zain Nasrullah

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Zain Nasrullah trusts overall

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

  1. Hans-Peter Kriegel
  2. Spiros E. Papadimitriou

Who trusts Zain Nasrullah overall

  1. Sanjay Krishnan
  2. Zheng Li
  3. Songqiao Han
  4. Yue Zhao
  5. Zhuohang Li

Papers from Zain Nasrullah's perspective

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

  1. LOF: identifying density-based local outliers
  2. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
  3. Feature bagging for outlier detection (Knowledge Discovery and Data Mining)
  4. Scikit-learn: Machine Learning in Python
  5. Estimating the Support of a High-Dimensional Distribution
  6. LOCI: fast outlier detection using the local correlation integral (Proceedings / International Conference on Data Engineering)
  7. Interpreting and Unifying Outlier Scores (SDM)
  8. Discovering cluster-based local outliers (Pattern Recognition Letters)
  9. Isolation Forest
  10. Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images (BrainLes@MICCAI)

Their papers