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Research

Dr Nicos Pavlidis

Senior Lecturer

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  1. Published

    Existence and computation of short-existence and computation of short-run equilibria in economic geography

    Pavlidis, N., Vrahatis, M. N. & Mossay, P., 1/01/2007, In: Applied Mathematics and Computation. 184, 1, p. 93-103 11 p.

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

  2. Published

    Financial forecasting through unsupervised clustering and neural networks

    Pavlidis, N., Plagianakos, V. P., Tasoulis, D. K. & Vrahatis, M. N., 05/2006, In: Operational Research. 6, 2, p. 103-127 25 p.

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

  3. Published

    Computational intelligence methods for financial time series modeling

    Pavlidis, N., Tasoulis, D. K., Plagianakos, V. P. & Vrahatis, M. N., 07/2006, In: International Journal of Bifurcation and Chaos. 16, 7, p. 2053–2062 10 p.

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

  4. Published

    Computing Nash equilibria through computational intelligence methods

    Pavlidis, N., Parsopoulos, K. E. & Vrahatis, M. N., 03/2005, In: Journal of Computational and Applied Mathematics. 175, 1, p. 113-136 24 p.

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

  5. Published

    Human designed vs. genetically programmed differential evolution operators

    Pavlidis, N., Tasoulis, D. K., Plagianakos, V. P. & Vrahatis, M. N., 2006, IEEE Congress on Evolutionary Computation (CEC 2006). IEEE, p. 1880-1886 7 p.

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

  6. 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

  7. Published

    Spiking neural network training using evolutionary algorithms

    Pavlidis, N., Tasoulis, DK., Plagianakos, V. P., Vrahatis, M. N. & Nikiforidis, G., 2005, International Joint Conference on Neural Networks (IJCNN 2005). IEEE, Vol. 4. p. 2190-2194 4 p.

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

  8. Published

    Dynamic Estimation of Trade Costs from Real Exchange Rates

    Pavlidis, E. & Pavlidis, N., 2012, Lancaster: The Department of Economics, (Economics Working Paper Series).

    Research output: Working paper

  9. 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

  10. Published

    Time series forecasting methodology for multiple-step-ahead prediction

    Pavlidis, N. G., Tasoulis, D. K. & Vrahatis, M. N., 1/12/2005, Proceedings of the IASTED International Conference on Computational Intelligence. p. 456-461 6 p. (Proceedings of the IASTED International Conference on Computational Intelligence; vol. 2005).

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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

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