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Charles Elkan

Active 1988–2024

103
Papers
25,508
Citations
44
h-index
75
i10-index

Citations

Citations per year for Charles Elkan1965: 1 citations1979: 1 citations1981: 1 citations1983: 2 citations1984: 1 citations1989: 3 citations1990: 14 citations1991: 18 citations1992: 20 citations1993: 30 citations1994: 33 citations1995: 16 citations1996: 30 citations1997: 37 citations1998: 38 citations1999: 34 citations2000: 71 citations2001: 90 citations2002: 131 citations2003: 212 citations2004: 239 citations2005: 361 citations2006: 434 citations2007: 434 citations2008: 419 citations2009: 408 citations2010: 511 citations2011: 520 citations2012: 555 citations2013: 599 citations2014: 609 citations2015: 566 citations2016: 593 citations2017: 691 citations2018: 804 citations2019: 1,056 citations2020: 1,193 citations2021: 1,108 citations2022: 666 citations2023: 608 citations2024: 602 citations2025: 379 citations2026: 116 citations1966–1978: no citations, so these years are not shown1980: no citations, so this year is not shown1982: no citations, so this year is not shown1985–1988: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,372 citing papers, 26.6% of this breakdownChina: 2,473 citing papers, 15.1% of this breakdownUnited Kingdom: 885 citing papers, 5.4% of this breakdownGermany: 779 citing papers, 4.7% of this breakdownCanada: 648 citing papers, 3.9% of this breakdownAustralia: 526 citing papers, 3.2% of this breakdownFrance: 517 citing papers, 3.2% of this breakdownIndia: 458 citing papers, 2.8% of this breakdownSpain: 437 citing papers, 2.7% of this breakdownJapan: 418 citing papers, 2.5% of this breakdownItaly: 353 citing papers, 2.2% of this breakdownHong Kong: 262 citing papers, 1.6% of this breakdown
0%26.6%Other 26.1%

Institutions

Fields

  • Computer Science55.6%
  • Biochemistry, Genetics and Molecular Biology17.8%
  • Engineering5.7%
  • Medicine4.1%
  • Decision Sciences3.5%
  • Agricultural and Biological Sciences2.7%
  • Other10.6%

Topics

  • Imbalanced Data Classification Techniques3.4%
  • Machine Learning and Data Classification3%
  • Anomaly Detection Techniques and Applications2.4%
  • Genomics and Chromatin Dynamics2.2%
  • Topic Modeling2.1%
  • RNA and protein synthesis mechanisms1.6%
  • Other85.3%

Coauthors

All papers

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  1. A Critical Review of Recurrent Neural Networks for Sequence Learning

    Authors: Zachary C. Lipton, John Berkowitz, Charles Elkan - arXiv (Cornell University), CoRR 2015 cited by 2,093

  2. Transforming classifier scores into accurate multiclass probability estimates

    Authors: Bianca Zadrozny, Charles Elkan - eighth ACM SIGKDD international conference on Knowledge discovery and data mining 2002 cited by 1,099

  3. Fitting a mixture model by expectation maximization to discover motifs in biopolymers.

    Authors: Trisha L. Bailey, Charles Elkan - 1994 cited by 5,090

  4. Learning classifiers from only positive and unlabeled data

    Authors: Charles Elkan, Keith Noto - SIGKDD international conference on Knowledge discovery and data mining 2008 cited by 1,034

  5. Optimal Thresholding of Classifiers to Maximize F1 Measure

    Authors: Zachary C. Lipton, Charles Elkan, Balakrishnan Naryanaswamy - Lecture notes in computer science, ECML/PKDD (2) 2014 cited by 580

  6. Differential Privacy and Machine Learning: a Survey and Review

    Authors: Zhanglong Ji, Zachary Chase Lipton, Charles Elkan - arXiv (Cornell University), CoRR 2014 cited by 209

  7. KDD Cup and workshop 2007

    Authors: James Bennett, Charles Elkan, Bing Liu, Padhraic Smyth, Domonkos Tikk - ACM SIGKDD Explorations Newsletter, SIGKDD Explor. 2007 cited by 329

  8. Learning to Diagnose with LSTM Recurrent Neural Networks

    Authors: Zachary Chase Lipton, David C. Kale, Charles Elkan, Randall C. Wetzel - ICLR (Poster) 2016 cited by 520

  9. Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers

    Authors: Bianca Zadrozny, Charles Elkan - http://www-cse.ucsd.edu/users/elkan/calibrated.pdf, ICML 2001 cited by 1,122

  10. Link Prediction via Matrix Factorization

    Authors: Aditya Krishna Menon, Charles Elkan - Lecture notes in computer science, ECML/PKDD (2) 2011 cited by 533

  11. The Foundations of Cost-Sensitive Learning

    Authors: Charles Elkan - http://www-cse.ucsd.edu/users/elkan/rescale.ps, IJCAI 2001 cited by 2,681

  12. Beam search algorithms for multilabel learning

    Authors: Abhishek Kumar, Shankar Vembu, Aditya Krishna Menon, Charles Elkan - Machine Learning, Mach. Learn. 2013 cited by 90

  13. A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data

    Authors: Wenkai Li, Qinghua Guo, Charles Elkan - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2010 cited by 177

  14. Learning and making decisions when costs and probabilities are both unknown

    Authors: Bianca Zadrozny, Charles Elkan - seventh ACM SIGKDD international conference on Knowledge discovery and data mining 2001 cited by 455

  15. Alternatives to the k-means algorithm that find better clusterings

    Authors: Greg Hamerly, Charles Elkan - eleventh international conference on Information and knowledge management, CIKM 2002 cited by 425

  16. Modeling word burstiness using the Dirichlet distribution

    Authors: Rasmus Elsborg Madsen, David Kauchak, Charles Elkan - conference on Machine learning - ICML '05 2005 cited by 283

  17. Results of the KDD'99 Classifier Learning

    Authors: Charles Elkan - ACM SIGKDD Explorations Newsletter, SIGKDD Explor. 2000 cited by 290

  18. F1-Optimal Thresholding in the Multi-Label Setting

    Authors: Zachary C. Lipton, Charles Elkan, N. Balakrishnan - arXiv (Cornell University), CoRR 2014 cited by 98

  19. Principled Methods for Advising Reinforcement Learning Agents

    Authors: Eric Wiewiora, Garrison W. Cottrell, Charles Elkan - http://www-cse.ucsd.edu/users/elkan/ericicml03.pdf 2003 cited by 238

  20. Improved disk-drive failure warnings

    Authors: Gordon F. Hughes, Joseph F. Murray, Kenneth Kreutz-Delgado, Charles Elkan - IEEE Transactions on Reliability, IEEE Trans. Reliab. 2002 cited by 222

  21. Fast Algorithms for Approximating the Singular Value Decomposition

    Authors: Aditya Krishna Menon, Charles Elkan - ACM Transactions on Knowledge Discovery from Data, ACM Trans. Knowl. Discov. Data 2011 cited by 71

  22. A Modified Logistic Regression for Positive and Unlabeled Learning

    Authors: Kristen Jaskie, Charles Elkan, Andreas Spanias - 53rd Asilomar Conference on Signals, ACSSC 2019 cited by 22

  23. The Field Matching Problem: Algorithms and Applications

    Authors: Alvaro E. Monge, Charles Elkan - http://www.cecs.csulb.edu/~monge/Papers/kdd96.ps 1996 cited by 604

  24. Learning gene regulatory networks from only positive and unlabeled data

    Authors: Luigi Cerulo, Charles Elkan, Michele Ceccarelli - BMC Bioinformatics, BMC Bioinform. 2010 cited by 126