Maria Lucka, prof.
Maria Lucka, prof.
senior researcher, Kempelen Institute of Intelligent Technologies, Bratislava, Slovakia
Overená e-mailová adresa na:
Citované v
Citované v
Parallel ant systems for the capacitated vehicle routing problem
KF Doerner, RF Hartl, G Kiechle, M Lucka, M Reimann
European Conference on Evolutionary Computation in Combinatorial …, 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
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
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
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
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
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
Parallel wavelet-based compression of two-dimensional data
M Lucka, T Sorevik
Proceedings of Algorithmy, 1-10, 2000
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
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 (2), 413-445, 2019
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
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
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
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
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, 235-246, 2016
Parallelization strategies of three-stage stochastic program based on the BQ method
S Benkner, L Halada, M Lucka
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 (2), 219-239, 2019
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
Usefulness of unsupervised ensemble learning methods for time series forecasting of aggregated or clustered load
P Laurinec, M Lucká
International Workshop on New Frontiers in Mining Complex Patterns, 122-137, 2017
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
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20