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 Chapter (peer-reviewed) › Research › Not peer-reviewed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 Paper › Research › Not peer-reviewed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

  17. Published

    Location Tracking Using Smartphone Accelerometer and Magnetometer Traces

    Nguyen, D. K. A., Akram, R. N., Markantonakis, K., Luo, Z. & Watkins, C., 26 Aug 2019, The First Location Privacy Workshop (LPW 2019), the 14th International Conference on Availability, Reliability and Security (ARES 2019). Association for Computing Machinery (ACM), p. 1-9 9 p. 96

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

  18. Published

    Structuring Time Series Data to Gain Insight into Agent Behaviour

    Al-Baghdadi, N., Wisniewski, W., Lindsay, D., Lindsay, S., Kalnishkan, Y. & Watkins, C., 24 Feb 2020, Proceedings of the 3rd International Workshop on Big Data for Financial News and Data. IEEE, p. 5480-5490 11 p.

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

  19. Published

    The Channel Capacity of Evolution: Ultimate Limits on the Amount of Information Maintainable in the Genome

    Watkins, C., 2002, Proceedings of the Third International Conference on Bioinformatics of Genome Regulation and Structure. Novisibirsk, Russia, Vol. 2. p. 58--60 3 p.

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

  20. Published

    Universal portfolio selection

    Vovk, V. & Watkins, C. J. H. C., 1998, Proceedings of the Eleventh Annual Conference on Computational Learning Theory. New York: ACM Press, p. 12-23 12 p.

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

  21. Entry for encyclopedia/dictionary › Research
  22. Published

    Reinforcement Learning

    Watkins, C. & Dayan, P., 1 Dec 2002, Encyclopaedia of Cognitive Science. Nadel, L. (ed.). Wiley-Blackwell

    Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary

  23. Chapter › Research
  24. Published

    Internet discussion forums: Maximizing choice in health-seeking behaviour during public health emergencies

    Cole, J., Kleine, D. & Watkins, C., 13 Jun 2016, 2016 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (CyberSA). Onwubiko, C. (ed.). London: IEEE, p. 99 104 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  25. Published

    On the Feasibility of Using Two Mobile Phones and WLAN Signal to Detect Co-Location of Two Users for Epidemic Prediction

    Nguyen, K., Luo, Z. & Watkins, C., 2015, Progress in Location-Based Services 2014. Gartner, G. & Huang, H. (eds.). Germany: Springer, p. 63-78 16 p. (Lecture Notes in Geoinformation and Cartography).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  26. Published

    Safe Portfolio Optimization

    Watkins, C. & Macrae, R., 1999, Proc. IX Int. Symp. of Applied Stochastic Models and Data Analysis: Quantitative Methods in Business and Industry Society.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  27. Published

    Selective Breeding Analysed as a Communication Channel: Channel Capacity as a Fundamental Limit on Adaptive Complexity

    Watkins, C., 2008, Symbolic and Numeric Algorithms for Scientific Computing : Proceedings of SYNASC'08. IEEE, p. 514--518 5 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  28. Published

    Social Technologies for Community Response to Epidemics

    Cole, J. & Watkins, C., Aug 2013, Tackling Antimicrobial Resistance - Identifying Future Research Themes: Proceedings of the Conference Tackling Antimicrobial Resistance, 6 February 2013. London: Royal United Services Institute, p. 65-73 9 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  29. Published

    Support Vector density estimation

    Weston, J., Gammerman, A., Stitson, M., Vapnik, V., Vovk, V. & Watkins, C., 1999, Advances in Kernel Methods: Support Vector Learning. Scholkopf, B., Burghes, C. J. C. & Smola, A. J. (eds.). Cambridge, MA: MIT Press, p. 293-305 13 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  30. Published

    Support Vector regression with ANOVA decomposition kernels

    Stitson, M., Gammerman, A., Vapnik, V., Vovk, V., Watkins, C. & Weston, J., 1999, Advances in Kernel Methods: Support Vector Learning. Scholkopf, B., Burghes, C. J. C. & Smola, A. J. (eds.). Cambridge, MA: MIT Press, p. 285-291 7 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  31. Article › Research › Peer-reviewed
  32. Published

    An evolutionary model that satisfies detailed balance

    Lember, J. & Watkins, C., 9 Nov 2020, In: Methodology and Computing in Applied Probability. 37 p.

    Research output: Contribution to journalArticlepeer-review

  33. Published

    An intuitive graphical visualization technique for the interrogation of transcriptome data

    Bushati, N., Smith, J., Briscoe, J. & Watkins, C., 2011, In: Nucleic Acids Research. 39, 17, p. 7380-7389

    Research output: Contribution to journalArticlepeer-review

  34. Published

    Dynamic alignment kernels

    Watkins, C., 1999, In: ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS. p. 39-50 12 p.

    Research output: Contribution to journalArticlepeer-review

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