Roman Sloutsky

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Roman Sloutsky trusts

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

  1. Ana L. N. Fred (in Artificial Intelligence)
  2. Wes McKinney (in Artificial Intelligence)

Papers from Roman Sloutsky's perspective

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

  1. Finding Consistent Clusters in Data Partitions (International Workshop on Multiple Classifier Systems)
  2. Uncovering the overlapping community structure of complex networks in nature and society (Nature)
  3. The NumPy Array: A Structure for Efficient Numerical Computation
  4. Matplotlib: A 2D Graphics Environment
  5. Clustering ensembles: models of consensus and weak partitions (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  6. Data Structures for Statistical Computing in Python
  7. Data clustering: a review
  8. Unsupervised Learning of Finite Mixture Models
  9. Algorithms for Clustering Data
  10. Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions

Their papers