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Dr Nicos Pavlidis

Senior Lecturer

  1. 2019
  2. 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 journalJournal article

  3. Forthcoming

    Subspace Clustering with Active Learning

    Peng, H. & Pavlidis, N., 16/10/2019, (Accepted/In press) Proceedings of 2019 IEEE International Conference on Big Data. IEEE, 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  4. Published

    Robust Function-on-Function Regression

    Hullait, H., Leslie, D. S., Pavlidis, N. G. & King, S., 30/08/2019, In : arxiv.org.

    Research output: Contribution to journalJournal article

  5. 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 journalJournal article

  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/ISSNConference contribution/Paper

  7. 2017
  8. 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/ISSNConference contribution/Paper

  9. 2016
  10. 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 journalJournal article

  11. 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 journalJournal article

  12. 2015
  13. 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/ISSNConference contribution/Paper

  14. 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/ISSNConference contribution/Paper

  15. 2013
  16. 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/ISSNConference contribution/Paper

  17. 2012
  18. 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 journalJournal article

  19. 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/ISSNConference contribution/Paper

  20. 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 journalJournal article

  21. 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

  22. Published

    Tracking differential evolution algorithms: an adaptive approach through multinomial distribution tracking with exponential forgetting

    Epitropakis, M., Tasoulis, D., Pavlidis, N., Plagianakos, V. P. & Vrahatis, M. N., 2012, Artificial Intelligence: Theories and Applications: 7th Hellenic Conference on AI, SETN 2012, Lamia, Greece, May 28-31, 2012. Proceedings. Maglogianis, I., Plagianakos, V. & Vlahavas, I. (eds.). Berlin: Springer Verlag, p. 214-222 9 p. (Lecture Notes in Computer Science; vol. 7297).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  23. 2011
  24. Published

    Lambda-perceptron: an adaptive classifier for data-streams

    Pavlidis, N., Tasoulis, D., Adams, N. M. & Hand, D. J., 01/2011, In : Pattern Recognition. 44, 1, p. 78-96 19 p.

    Research output: Contribution to journalJournal article

  25. Published

    Enhancing differential evolution utilizing proximity-based mutation operators

    Epitropakis, M., Tasoulis, D. K., Pavlidis, N., Plagianakos, V. P. & Vrahatis, M. N., 2011, In : IEEE Transactions on Evolutionary Computation. 15, 1, p. 99-119 21 p.

    Research output: Contribution to journalJournal article

  26. 2010
  27. Published

    Evolving cellular automata rules for multiple-step-ahead prediction of complex binary sequences

    Adamopoulos, A. V., Pavlidis, N. & Vrahatis, M. N., 2010, In : Mathematical and Computer Modelling. 51, 3-4, p. 229-238 10 p.

    Research output: Contribution to journalJournal article

  28. Published

    Prospects for bandit solutions in sensor management

    Pavlidis, N., Adams, N. M., Nicholson, M. & Hand, D. J., 2010, In : The Computer Journal. 53, 9, p. 1370-1383 14 p.

    Research output: Contribution to journalJournal article

  29. 2008
  30. 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/ISSNChapter

  31. Published

    Dynamic multi-armed bandit with covariates

    Pavlidis, N., Tasoulis, D. K., Adams, N. M. & Hand, D. J., 2008, 18th European Conference on Artificial Intelligence (Greece) 2008. N/A: unknown

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  32. Published

    Recognizing predictive patterns in chaotic maps

    Pavlidis, N., Adamopoulos, A. V. & Vrahatis, M. N., 2008, 18th European Conference on Artificial Intelligence (Greece) 2008. N/A: unknown

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  33. Published

    Simulation studies of multi-armed bandits with covariates

    Pavlidis, N., Tasoulis, D. K. & Hand, D. J., 2008, 10th International Conference on Computer Modelling and Simulation (Cambridge) - 2008. N/A: unknown

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  34. 2007
  35. 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 journalJournal article

  36. 2006
  37. 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 journalJournal article

  38. 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 journalJournal article

  39. Published

    New self-adaptive probabilistic neural networks in bioinformatic and medical tasks

    Georgiou, V. L., Pavlidis, N., Parsopoulos, K. E., Alevizos, P. D. & Vrahatis, M. N., 06/2006, In : International Journal on Artificial Intelligence Tools. 15, 3, p. 371-396 26 p.

    Research output: Contribution to journalJournal article

  40. 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 journalJournal article

  41. Published

    Determining the number of real roots of polynomials through neural networks

    Mourrain, B., Pavlidis, N., Tasoulis, D. K. & Vrahatis, M. N., 02/2006, In : Computers and Mathematics with Applications. 51, 3-4, p. 527-536 10 p.

    Research output: Contribution to journalJournal article

  42. 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/ISSNConference contribution/Paper

  43. 2005
  44. 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/ISSNConference contribution/Paper

  45. 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 journalJournal article

  46. 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/ISSNConference contribution/Paper

  47. 2004
  48. Published

    Vector evaluated differential evolution for multiobjective optimization

    Parsopoulos, K. E., Tasoulis, D. K., Pavlidis, N. G., Plagianakos, V. P. & Vrahatis, M. N., 13/09/2004, Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004. IEEE, p. 204-211 8 p. (Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004; vol. 1).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  49. 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/ISSNConference contribution/Paper

  50. 2003
  51. 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/ISSNConference contribution/Paper

  52. 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/ISSNConference contribution/Paper

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