Gürsel Serpen

International Conference on Machine Learning; Models, Technologies and Applications · 2003

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Gürsel Serpen trusts overall

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

  1. Levent Ertöz

Papers from Gürsel Serpen's perspective

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

  1. Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data (SDM)
  2. Concept Decompositions for Large Sparse Text Data Using Clustering (Machine-mediated learning)
  3. Algorithms for Clustering Data
  4. Impact of Similarity Measures on Web-page Clustering
  5. Estimating the Support of a High-Dimensional Distribution
  6. A Comparison of Document Clustering Techniques
  7. LOF: identifying density-based local outliers
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Intrusion detection using sequences of system calls

Their papers