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Research

Dr Nicos Pavlidis

Senior Lecturer

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  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  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

    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

  9. 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

  10. 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

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