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Research

Dr Nicos Pavlidis

Senior Lecturer

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  1. 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

  2. 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

  3. Published

    Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence

    Tasoulis, D. K., Spyridonos, P., Pavlidis, N., Cavouras, D., Ravazoula, P., Nikiforidis, G. & Vrahatis, M. N., 11/2006, In: Artificial Intelligence in Medicine. 38, 3, p. 291-303 13 p.

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

  4. Published

    Parallel differential evolution

    Tasoulis, DK., Pavlidis, N., Plagianakos, V. P. & Vrahatis, M. N., 2004, IEEE Congress on Evolutionary Computation (CEC 2004). IEEE, p. 2023-2029 7 p.

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

  5. Published

    Urinary bladder tumor grade diagnosis using on-line trained neural networks

    Tasoulis, D. K., Spyridonos, P., Pavlidis, N. G., Cavouras, D., Ravazoula, P., Nikiforidis, G. & Vrahatis, M. N., 1/12/2003, Knowledge-Based Intelligent Information and Engineering Systems: 7th INternational Conference, KES 2003, Oxford, UK, September 2003. Proceedings, Part I. Springer, Vol. 2773 PART 1. p. 199-206 8 p. (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)).

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

  6. 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

  7. 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

  8. 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

  9. 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

  10. Published

    Computational intelligence algorithms for risk-adjusted trading strategies.

    Pavlidis, N., Pavlidis, E., Epitropakis, M., Plagianakos, V. & Vrahatis, M., 01/2008, IEEE Congress on Evolutionary Computation CEC 2007. Singapore: IEEE, p. 540-547 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

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