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Dr Nicos Pavlidis

Senior Lecturer

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  1. Conference contribution/Paper
  2. Published

    Financial forecasting through unsupervised clustering and evolutionary trained neural networks

    Pavlidis, N., Tasoulis, DK. & Vrahatis, M. N., 2003, IEEE Congress on Evolutionary Computation. IEEE, Vol. 4. p. 2314-2321 8 p.

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

  3. Conference paper
  4. Published

    The algorithm selection problem for solving Sudoku with metaheuristics

    Notice, D., Kheiri, A. & Pavlidis, N., 3/07/2023.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  5. Journal article
  6. Published

    Dynamic linear models with adaptive discounting

    Yusupova, A., Pavlidis, N. & Pavlidis, E., 31/10/2023, In: International Journal of Forecasting. 39, 4, p. 1925-1944 20 p.

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

  7. Published

    Weighted Sparse Simplex Representation: A Unified Framework for Subspace Clustering, Constrained Clustering, and Active Learning

    Peng, H. & Pavlidis, N., 31/05/2022, In: Data Mining and Knowledge Discovery. 36, 3, p. 958–986 29 p.

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

  8. Published

    Robust Function-on-Function Regression

    Hullait, H., Leslie, D., Pavlidis, N. & King, S., 31/07/2021, In: Technometrics. 63, 3, p. 396-409 11 p.

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

  9. Published

    Nonlinear Dimensionality Reduction for Clustering

    Tasoulis, S., Pavlidis, N. & Roos, T., 1/11/2020, In: Pattern Recognition. 107, 11 p., 107508.

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

  10. Published

    PPCI: an R Package for Cluster Identification using Projection Pursuit

    Hofmeyr, D. & Pavlidis, N., 27/12/2019, In: The R Journal.

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

  11. Published

    Minimum spectral connectivity projection pursuit: Divisive clustering using optimal projections for spectral clustering

    Hofmeyr, D., Pavlidis, N. G. & Eckley, I. A., 1/03/2019, In: Statistics and Computing. 29, 2, p. 391–414 24 p.

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

  12. 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

  13. 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

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