Professor Chris Watkins

  1. Chapter (peer-reviewed) › Research › Not peer-reviewed
  2. Published

    Combining Cross-Validation and Search

    Watkins, C., 1987, Progress in Machine Learning. Sigma Press, p. 79--87 9 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  3. Other › Research › Peer-reviewed
  4. Published

    Sequential decision problems and neural networks

    Barto, AG., Sutton, RS. & Watkins, C., 1990, p. 693.

    Research output: Contribution to conferenceOtherpeer-review

  5. Published

    Support vector machines for multi-class pattern recognition

    Weston, J. & Watkins, C., 1999.

    Research output: Contribution to conferenceOtherpeer-review

  6. Paper › Research › Peer-reviewed
  7. Published

    Feeder-Level Deep Learning-based Photovoltaic Penetration Estimation Scheme

    Zhang, X., Kuenzel, S. & Watkins, C., 13 Oct 2020.

    Research output: Contribution to conferencePaperpeer-review

  8. Paper › Research › Not peer-reviewed
  9. Published

    Planar Languages and Learnability

    Clark, A., Costa Florêncio, C., Watkins, C. & Serayet, M., 2006, p. 148-160.

    Research output: Contribution to conferencePaper

  10. Other contribution › Research
  11. Published

    Transatlantic Perspectives on the Use of Data Science in Museums and Heritage

    Platts, H., Howard, D., Dalton, P. & Watkins, C., Jul 2020, UK Research and Innovation.

    Research output: Chapter in Book/Report/Conference proceedingOther contribution

  12. Conference contribution › Research
  13. Published

    Co-location epidemic tracking on London public transports using low power mobile magnetometer

    Nguyen, D. K. A., Watkins, C. & Luo, Z., 23 Nov 2017, The 8th International Conference on Indoor Positioning and Indoor Navigation, Sept 18-21, 2017, Japan. IEEE, p. 1-8 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  14. Published

    Efficient Sampling with Small Populations: a Genetic Algorithm Satisfying Detailed Balance

    Watkins, C. & Buttkewitz, Y., 11 Jul 2015, Gecco Companion '15: Proceedings of the Companion Publication of the 2015 Genetic and Evolutionary Computation Conference. p. 1517-1518 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  15. E-pub ahead of print

    Explaining Deep Learning Models with Constrained Adversarial Examples

    Moore, J., Hammerla, N. & Watkins, C., 23 Aug 2019, (E-pub ahead of print) Pacific Rim International Conference on Artificial Intelligence. Springer, p. 43-56 14 p. (Lecture Notes in Computer Science; vol. 11670).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  16. Published

    Languages as Hyperplanes: grammatical inference with string kernels

    Clark, A., Costa Florêncio, C. & Watkins, C., 2006, Proceedings of ECML. p. 90-101

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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