| Parallel ant systems for the capacitated vehicle routing problem KF Doerner, RF Hartl, G Kiechle, M Lucka, M Reimann Evolutionary Computation in Combinatorial Optimization: 4th European …, 2004 | 71 | 2004 |
| 3D displacement finite differences and a combined memory optimization P Moczo, M Lucká, J Kristek, M Kristeková Bulletin of the Seismological Society of America 89 (1), 69-79, 1999 | 66 | 1999 |
| Incremental ensemble learning for electricity load forecasting G Grmanová, P Laurinec, V Rozinajová, AB Ezzeddine, M Lucká, P Lacko, ... Acta Polytechnica Hungarica 13 (2), 97-117, 2016 | 57 | 2016 |
| Parallel cooperative savings based ant colony optimization—multiple search and decomposition approaches KF Doerner, RF Hartl, S Benkner, M Lucka Parallel processing letters 16 (03), 351-369, 2006 | 49 | 2006 |
| Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting P Laurinec, M Lucká Data Mining and Knowledge Discovery 33, 413-445, 2019 | 37 | 2019 |
| Adaptive time series forecasting of energy consumption using optimized cluster analysis P Laurinec, M Lóderer, P Vrablecová, M Lucká, V Rozinajová, ... 2016 IEEE 16th international conference on data mining workshops (ICDMW …, 2016 | 28 | 2016 |
| Energy load forecast using S2S deep neural networks with k-Shape clustering T Jarábek, P Laurinec, M Lucká 2017 IEEE 14th International Scientific Conference on Informatics, 140-145, 2017 | 26 | 2017 |
| Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption P Laurinec, M Lóderer, M Lucká, V Rozinajová Journal of Intelligent Information Systems 53, 219-239, 2019 | 25 | 2019 |
| Clustering-based forecasting method for individual consumers electricity load using time series representations P Laurinec, M Lucká Open Computer Science 8 (1), 38-50, 2018 | 24 | 2018 |
| A parallel version of the d-ant algorithm for the vehicle routing problem KF Doerner, RF Hartl, M Lucka Parallel Numerics 5, 109-118, 2005 | 24 | 2005 |
| Communication strategies for parallel cooperative ant colony optimization on clusters and grids S Benkner, K Doerner, R Hartl, G Kiechle, M Lucka Complimentary Proceedings of PARA 4, 3-12, 2004 | 24 | 2004 |
| Comparison of representations of time series for clustering smart meter data P Laurinec, M Lucká Proceedings of the world congress on engineering and computer science 1, 2016 | 21 | 2016 |
| Parallel wavelet-based compression of two-dimensional data M Lucka, T Sorevik Proceedings of Algorithmy, 1-10, 2000 | 18 | 2000 |
| Application of multistage stochastic programs solved in parallel in portfolio management M Lucka, I Melichercik, L Halada Parallel Computing 34 (6-8), 469-485, 2008 | 11 | 2008 |
| New clustering-based forecasting method for disaggregated end-consumer electricity load using smart grid data P Laurinec, M Lucká 2017 IEEE 14th international scientific conference on informatics, 210-215, 2017 | 10 | 2017 |
| Usefulness of unsupervised ensemble learning methods for time series forecasting of aggregated or clustered load P Laurinec, M Lucká New Frontiers in Mining Complex Patterns: 6th International Workshop, NFMCP …, 2018 | 9 | 2018 |
| Application of biologically inspired methods to improve adaptive ensemble learning G Grmanová, V Rozinajová, AB Ezzedine, M Lucká, P Lacko, M Lóderer, ... Advances in Nature and Biologically Inspired Computing: Proceedings of the …, 2016 | 9 | 2016 |
| Parallel posix threads based ant colony optimization using asynchronous communication M Lucka, S Piecka Proceedings of the 8th International Conference on Applied Mathematics 2 …, 2009 | 8 | 2009 |
| Parallelization strategies of three-stage stochastic program based on the BQ method S Benkner, L Halada, M Lucka | 8 | 2002 |
| Using biologically inspired computing to effectively improve prediction models AB Ezzeddine, M Lóderer, P Laurinec, P Vrablecová, V Rozinajová, ... International Journal of Hybrid Intelligent Systems 13 (2), 99-112, 2016 | 6 | 2016 |
Marc ReimannUniversity of Graz, Northumbria UniversityOverená e-mailová adresa na: uni-graz.at
