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  1. Conference contribution/Paper
  2. Published

    Metric learning for simulation analytics

    Laidler, G., Morgan, L., Nelson, B. & Pavlidis, N., 18/12/2020, Proceedings of the 2020 Winter Simulation Conference. IEEE, p. 349-360 12 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. Published

    BOSS: Bayesian Optimization over String Spaces

    Moss, H., Beck, D., Gonzalez, J., Leslie, D. & Rayson, P., 1/12/2020, Advances in Neural Information Processing Systems. 2020 ed. MIT Press

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  4. Published

    The distribution and direction of extreme geomagnetic fluctuations over 1-60 minute periods

    Rogers, N., Wild, J. & Eastoe, E., 20/10/2020, 2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science. IEEE, p. 1-4 4 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  5. Published

    MUMBO: MUlti-task Max-value Bayesian Optimization

    Moss, H. B., Leslie, D. S. & Rayson, P., 14/09/2020, achine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Springer, p. 447-462 16 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  6. Published

    BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization

    Moss, H., Aggarwal, V., Prateek, N., González, J. & Barra-Chicote, R., 14/05/2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2020 ed. IEEE, p. 7639-7643 5 p. (ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); vol. 2020).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  7. Published

    Subspace Clustering with Active Learning

    Peng, H. & Pavlidis, N., 24/02/2020, Proceedings of 2019 IEEE International Conference on Big Data. IEEE, 10 p. 9006361

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  8. Published

    A Spline-based Method for Modelling and Generating a Nonhomogeneous Poisson Process

    Morgan, L., Nelson, B., Titman, A. & Worthington, D., 20/02/2020, Proceedings of the 2019 Winter Simulation Conference. IEEE Press, 12 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  9. Published

    Robust Functional Regression for Outlier Detection

    Hullait, H., Leslie, D. S., Pavlidis, N. G. & King, S., 23/01/2020, Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers. Lemaire, V., Malinowski, S., Bagnall, A., Bondu, A., Guyet, T. & Tavenard, R. (eds.). Cham: Springer, p. 3-13 11 p. (Lecture Notes in Computer Science; vol. 11986).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  10. Published

    FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms

    Moss, H. B., Moore, A., Leslie, D. S. & Rayson, P., 30/07/2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Stroudsburg PA: Association for Computational Linguistics, p. 2920-2930 11 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  11. Published

    Adaptive sensor placement for continuous spaces

    Grant, J., Boukouvalas, A., Griffiths, R-R., Leslie, D., Vakili, S. & Munoz de Cote, E., 12/07/2019, Proceedings of the 36 th International Conference on Machine Learning, Long Beach, California, PMLR 97, 2019. Proceedings of Machine Learning Research, 9 p. (Proceedings of Machine Learning Research; vol. 97).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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