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Research

Dr Nicos Pavlidis

Senior Lecturer

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  1. 2019
  2. Published

    Subspace Clustering of Very Sparse High-Dimensional Data

    Peng, H., Pavlidis, N. G., Eckley, I. A. & Tsalamanis, I., 24/01/2019, 2018 IEEE International Conference on Big Data (Big Data). IEEE, p. 3780-3783 4 p.

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

  3. 2017
  4. Published

    Minimum density hyperplanes in the feature space

    Yates, K. & Pavlidis, N. G., 11/02/2017, Big Data (Big Data), 2016 IEEE International Conference on. IEEE, p. 3613-3618 6 p.

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

  5. 2016
  6. Published

    Minimum Density Hyperplanes

    Pavlidis, N. G., Hofmeyr, D. & Tasoulis, S., 28/09/2016, In: Journal of Machine Learning Research. 17, 156, p. 1-33 33 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Published

    Divisive clustering of high dimensional data streams

    Hofmeyr, D., Pavlidis, N. & Eckley, I., 09/2016, In: Statistics and Computing. 26, 5, p. 1101–1120 20 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. 2015
  9. Published

    Maximum Clusterability Divisive Clustering

    Hofmeyr, D. & Pavlidis, N. G., 7/12/2015, Computational Intelligence, 2015 IEEE Symposium Series on . Cape Town: IEEE, p. 780-786 7 p.

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

  10. Published

    Semi-supervised Spectral Connectivity Projection Pursuit

    Hofmeyr, D. & Pavlidis, N. G., 25/11/2015, Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2015 . IEEE, p. 201-206 6 p.

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

  11. 2013
  12. Published

    The effect of recovery algorithms on compressive sensing background subtraction

    Davies, R., Mihaylova, L., Pavlidis, N. & Eckley, I., 10/2013, Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2013 Workshop on. IEEE, p. 1-6 6 p.

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

  13. 2012
  14. Published

    Adaptive consumer credit classification

    Pavlidis, N., Tasoulis, D., Adams, N. M. & Hand, D. J., 12/2012, In: Journal of the Operational Research Society. 63, 12, p. 1645-1654 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  15. Published

    Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting

    Epitropakis, M., Tasoulis, D. K., Pavlidis, N., Plagianakos, V. P. & Vrahatis, M. N., 10/06/2012, 2012 IEEE Congress on Evolutionary Computation (CEC2012) . IEEE, 8 p.

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

  16. Published

    Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification

    Anagnostopoulos, C., Tasoulis, D. K., Adams, N. M., Pavlidis, N. & Hand, D. J., 04/2012, In: Statistical Analysis and Data Mining. 5, 2, p. 139-166

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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