Standout Papers

Fitting a mixture model by expectation maximization to discover motifs in biopolymers. 1994 2026 2004 2015 3.8k
  1. Fitting a mixture model by expectation maximization to discover motifs in biopolymers. (1994)
    Trisha L. Bailey, Charles Elkan PubMed
  2. A Critical Review of Recurrent Neural Networks for Sequence Learning (2015)
    Zachary C. Lipton, John Berkowitz et al. arXiv (Cornell University)
  3. The foundations of cost-sensitive learning (2001)
    Charles Elkan International Joint Conference on Artificial Intelligence
  4. The value of prior knowledge in discovering motifs with MEME. (1995)
    Trisha L. Bailey, Charles Elkan PubMed
  5. Optimal Thresholding of Classifiers to Maximize F1 Measure (2014)
    Zachary C. Lipton, Charles Elkan et al. Lecture notes in computer science

Immediate Impact

13 by Nobel laureates 19 from Science/Nature 56 standout
Sub-graph 1 of 23

Citing Papers

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Works of Charles Elkan being referenced

A Critical Review of Recurrent Neural Networks for Sequence Learning
2015 Standout
Fitting a mixture model by expectation maximization to discover motifs in biopolymers.
1994 Standout

Author Peers

Author Last Decade Papers Cites
Charles Elkan 2568 4475 650 1381 58 9.6k
Siu‐Ming Yiu 1189 4702 500 1603 163 8.4k
Gunnar Rätsch 3662 4728 217 1868 150 13.8k
David Heckerman 4701 2895 1171 1041 185 13.6k
Tao Jiang 1566 4710 183 1143 376 9.1k
Karsten Borgwardt 2363 2140 196 1243 109 7.1k
Michael S. Waterman 3286 11063 331 1598 189 14.7k
Daphne Koller 5486 7456 790 481 149 17.9k
Nir Friedman 5542 16006 861 1450 185 26.2k
Gastón H. Gonnet 1501 3295 171 390 109 9.4k
Joshua Knowles 2809 3544 271 313 93 9.3k

All Works

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2026