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Research

Dr Nicos Pavlidis

Senior Lecturer

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  1. 2025
  2. E-pub ahead of print

    Stochastic Neighbourhood Components Analysis

    Laidler, G., Morgan, L., Pavlidis, N. & Nelson, B., 5/05/2025, (E-pub ahead of print) In: INFORMS journal on Data Science.

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

  3. Forthcoming

    Instance Space Analysis for the Capacitated Vehicle Routing Problem with Mixture Discriminant Analysis

    Notice, D., Soleimani, H., Pavlidis, N., Kheir, A. & Muñoz, M. A., 19/03/2025, (Accepted/In press) Genetic and Evolutionary Computation Conference (GECCO ’25).

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

  4. E-pub ahead of print

    Simulation Shapelets: Comparing characteristics of time-dynamic trajectories

    Laidler, G., Nelson, B. & Pavlidis, N., 18/03/2025, (E-pub ahead of print) In: Journal of Simulation. 18 p.

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

  5. Published

    Supervised Dimensionality Reduction for the Algorithm Selection Problem

    Notice, D., Pavlidis, N. & Kheiri, A., 8/01/2025, Advances in Computational Intelligence Systems: Contributions Presented at the 23rd UK Workshop on Computational Intelligence (UKCI 2024), September 2-4, 2024, Ulster University, Belfast, UK. Zheng, H., Glass, D., Mulvenna, M., Liu, J. & Wang, H. (eds.). Cham: Springer, p. 85-97 13 p. (Advances in Intelligent Systems and Computing ; vol. 1462).

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

  6. 2024
  7. Published

    Ensemble Clustering for Boundary Detection in High-Dimensional Data

    Anagnostou, P., Pavlidis, N. G. & Tasoulis, S., 15/02/2024, Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Revised Selected Papers. Nicosia, G., Ojha, V., La Malfa, E., La Malfa, G., Pardalos, P. M. & Umeton, R. (eds.). Cham: Springer, p. 324-333 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14506 LNCS).

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

  8. 2023
  9. 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

  10. 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

  11. 2022
  12. 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

  13. 2021
  14. 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

  15. 2020
  16. Published

    Metric learning for simulation analytics

    Laidler, G., Morgan, L., Nelson, B. & Pavlidis, N., 18/12/2020, Proceedings of the 2020 Winter Simulation Conference. IEEE, p. 349-360 12 p.

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

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