Items where Author is "Pavlidis, Nicos"

Notice, Danielle and Soleimani, Hamed and Pavlidis, Nicos and Kheir, Ahmed and Muñoz, Mario Andrés (2025) Instance Space Analysis for the Capacitated Vehicle Routing Problem with Mixture Discriminant Analysis. In: Genetic and Evolutionary Computation Conference (GECCO ’25) :. UNSPECIFIED. (In Press)

Laidler, Graham and Nelson, Barry and Pavlidis, Nicos (2025) Simulation Shapelets : Comparing characteristics of time-dynamic trajectories. Journal of Simulation. ISSN 1747-7778

Notice, Danielle and Pavlidis, Nicos and Kheiri, Ahmed (2025) Supervised Dimensionality Reduction for the Algorithm Selection Problem. In: 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. Advances in Intelligent Systems and Computing . Springer, Cham, pp. 85-97. ISBN 9783031788567

Laidler, Graham and Morgan, Lucy and Pavlidis, Nicos and Nelson, Barry (2024) Stochastic Neighbourhood Components Analysis. INFORMS journal on Data Science. ISSN 2694-4030 (In Press)

Smith, Maddie and Pavlidis, Nicos and Sykulski, Adam (2024) Dynamic Forecast Combination and Problems in Multivariate Nonstationary Time Series. PhD thesis, Lancaster University.

Yusupova, Alisa and Pavlidis, Nicos and Pavlidis, Efthymios (2023) Dynamic linear models with adaptive discounting. International Journal of Forecasting, 39 (4). pp. 1925-1944. ISSN 0169-2070

Notice, Danielle and Kheiri, Ahmed and Pavlidis, Nicos (2023) The algorithm selection problem for solving Sudoku with metaheuristics. In: 2023 IEEE Congress on Evolutionary Computation, 2023-07-01 - 2023-07-05, Swissôtel Chicago.

Laidler, Graham and Nelson, Barry and Pavlidis, Nicos and Morgan, Lucy (2023) Simulation Analytics for Deeper Comparisons. PhD thesis, Lancaster University.

Peng, Hankui and Pavlidis, Nicos (2022) Weighted Sparse Simplex Representation : A Unified Framework for Subspace Clustering, Constrained Clustering, and Active Learning. Data Mining and Knowledge Discovery, 36 (3). 958–986. ISSN 1384-5810

Hullait, Harjit and Leslie, David and Pavlidis, Nicos and King, Steve (2021) Robust Function-on-Function Regression. Technometrics, 63 (3). pp. 396-409. ISSN 0040-1706

Laidler, Graham and Morgan, Lucy and Nelson, Barry and Pavlidis, Nicos (2020) Metric learning for simulation analytics. In: Proceedings of the 2020 Winter Simulation Conference :. IEEE, pp. 349-360. ISBN 9781728194998

Peng, Hankui and Pavlidis, Nicos and Eckley, Idris (2020) Subspace Clustering and Active Learning with Constraints. PhD thesis, Lancaster University.

Tasoulis, Sotiris and Pavlidis, Nicos and Roos, Teemu (2020) Nonlinear Dimensionality Reduction for Clustering. Pattern Recognition, 107: 107508. ISSN 0031-3203

Peng, Hankui and Pavlidis, Nicos (2020) Subspace Clustering with Active Learning. In: Proceedings of 2019 IEEE International Conference on Big Data :. IEEE, USA. ISBN 9781728108582

Hullait, Harjit and Leslie, David and Pavlidis, Nicos (2020) Automated data inspection in jet engines. PhD thesis, Lancaster University.

Hofmeyr, David and Pavlidis, Nicos (2019) PPCI: an R Package for Cluster Identification using Projection Pursuit. The R Journal. ISSN 2073-4859

Page, Stephen and Grunewalder, Steffen and Pavlidis, Nicos and Leslie, David (2019) Reproducing-Kernel Hilbert space regression with notes on the Wasserstein Distance. PhD thesis, Lancaster University.

Yates, Katie and Pavlidis, Nicos and Sherlock, Chris (2018) Low-Density Cluster Separators for Large, High-Dimensional, Mixed and Non-Linearly Separable Data. PhD thesis, Lancaster University.

Barakat, Lida and Pavlidis, Nicos and Crone, Sven (2018) A context-aware approach for handling concept drift in classification. PhD thesis, Lancaster University.

Davies, Rhian and Eckley, Idris and Pavlidis, Nicos and Mihaylova, Lyudmila (2017) Efficient analysis of data streams. PhD thesis, Lancaster University.

Hofmeyr, David and Pavlidis, Nicos and Eckley, Idris (2016) Divisive clustering of high dimensional data streams. Statistics and Computing, 26 (5). 1101–1120. ISSN 0960-3174

Hofmeyr, David and Pavlidis, Nicos and Eckley, Idris (2016) Projection methods for clustering and semi-supervised classification. PhD thesis, Lancaster University.

Davies, Rhian and Mihaylova, Lyudmila and Pavlidis, Nicos and Eckley, Idris (2013) The effect of recovery algorithms on compressive sensing background subtraction. In: Sensor Data Fusion : Trends, Solutions, Applications (SDF), 2013 Workshop on. IEEE, pp. 1-6. ISBN 9781479907779

Epitropakis, Michael and Tasoulis, Dimitrios K and Pavlidis, Nicos and Plagianakos, Vassilis P. and Vrahatis, Michael N. (2012) Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting. In: 2012 IEEE Congress on Evolutionary Computation (CEC2012) :. IEEE. ISBN 978-1-4673-1510-4

Anagnostopoulos, Christoforos and Tasoulis, Dimitrios K. and Adams, Niall M. and Pavlidis, Nicos and Hand, David J. (2012) Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification. Statistical Analysis and Data Mining, 5 (2). pp. 139-166. ISSN 1932-1872

Pavlidis, Efthymios and Pavlidis, Nicos (2012) Dynamic Estimation of Trade Costs from Real Exchange Rates. Working Paper. The Department of Economics, Lancaster.

Epitropakis, Michael and Tasoulis, Dimitrios and Pavlidis, Nicos and Plagianakos, Vassilis P. and Vrahatis, Michael N. (2012) Tracking differential evolution algorithms : an adaptive approach through multinomial distribution tracking with exponential forgetting. In: Artificial Intelligence: Theories and Applications : 7th Hellenic Conference on AI, SETN 2012, Lamia, Greece, May 28-31, 2012. Proceedings. Lecture Notes in Computer Science . Springer Verlag, Berlin, pp. 214-222. ISBN 978-3-642-30447-7

Pavlidis, Nicos and Pavlidis, Efthymios and Epitropakis, Michael and Plagianakos, Vasilis and Vrahatis, Michael (2008) Computational intelligence algorithms for risk-adjusted trading strategies. In: IEEE Congress on Evolutionary Computation CEC 2007 :. IEEE, Singapore, pp. 540-547. ISBN 978-1-4244-1339-3

Pavlidis, Nicos and Vrahatis, Michael N. and Mossay, Pascal (2007) Existence and computation of short-existence and computation of short-run equilibria in economic geography. Applied Mathematics and Computation, 184 (1). pp. 93-103.

Tasoulis, Dimitrios K and Spyridonos, P. and Pavlidis, Nicos and Cavouras, D. and Ravazoula, P. and Nikiforidis, G. and Vrahatis, Michael N. (2006) Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence. Artificial Intelligence in Medicine, 38 (3). pp. 291-303. ISSN 0933-3657

Pavlidis, Nicos and Tasoulis, Dimitrios K and Plagianakos, Vassilis P. and Vrahatis, Michael N. (2006) Computational intelligence methods for financial time series modeling. International Journal of Bifurcation and Chaos, 16 (7). 2053–2062. ISSN 0218-1274

Georgiou, Vassilis L. and Pavlidis, Nicos and Parsopoulos, Kostantinos E. and Alevizos, Philipos D. and Vrahatis, Michael N. (2006) New self-adaptive probabilistic neural networks in bioinformatic and medical tasks. International Journal on Artificial Intelligence Tools, 15 (3). pp. 371-396. ISSN 0218-2130

Pavlidis, Nicos and Plagianakos, Vassilis P. and Tasoulis, Dimitrios K and Vrahatis, Michael N. (2006) Financial forecasting through unsupervised clustering and neural networks. Operational Research, 6 (2). pp. 103-127. ISSN 1866-1505

Mourrain, B. and Pavlidis, Nicos and Tasoulis, Dimitrios K and Vrahatis, Michael N. (2006) Determining the number of real roots of polynomials through neural networks. Computers and Mathematics with Applications, 51 (3-4). pp. 527-536. ISSN 0898-1221

Pavlidis, Nicos and Tasoulis, Dimitrios K and Plagianakos, V. P. and Vrahatis, Michael N. (2006) Human designed vs. genetically programmed differential evolution operators. In: IEEE Congress on Evolutionary Computation (CEC 2006) :. IEEE, pp. 1880-1886. ISBN 0-7803-9487-9

Pavlidis, Nicos and Parsopoulos, Kostantinos E. and Vrahatis, Michael N. (2005) Computing Nash equilibria through computational intelligence methods. Journal of Computational and Applied Mathematics, 175 (1). pp. 113-136. ISSN 0377-0427

Pavlidis, Nicos and Tasoulis, DK and Plagianakos, Vassilis P. and Vrahatis, Michael N. and Nikiforidis, G. (2005) Spiking neural network training using evolutionary algorithms. In: International Joint Conference on Neural Networks (IJCNN 2005) :. IEEE, pp. 2190-2194. ISBN 0-7803-9048-2

Tasoulis, DK and Pavlidis, Nicos and Plagianakos, Vassilis P. and Vrahatis, Michael N. (2004) Parallel differential evolution. In: IEEE Congress on Evolutionary Computation (CEC 2004) :. IEEE, pp. 2023-2029. ISBN 0-7803-8515-2

Pavlidis, Nicos and Tasoulis, DK and Vrahatis, Michael N. (2003) Financial forecasting through unsupervised clustering and evolutionary trained neural networks. In: IEEE Congress on Evolutionary Computation :. IEEE, pp. 2314-2321. ISBN 0-7803-7804-0