An Effective Algorithm for Computation of Two-Dimensional Fourier Transform for NxM Matrices. - Mária Lucká (ACPC, 1993)

A Partition Method for Solving Block Pentadiagonal Linear System on Intel Hypercube iPSC/860. - Ladislav Halada; Mária Lucká (ACPC, 1996)

A Parallel Strongly Implicit Algorithm for Solving of Diffusion Equations. - Ladislav Halada; Mária Lucká (ACPC, 1999)

Parallel Birge and Qi Factorization of Three-stage Stochastic Linear Programs. - Ladislav Halada; Siegfried Benkner; Mária Lucká (Parallel Distributed Comput. Pract., 2002)

Multiperiod Portfolio Management Using Parallel Interior Point Method. - Ladislav Halada; Mária Lucká; Igor Melichercík (PARCO, 2003)

Parallel Ant Systems for the Capacitated Vehicle Routing Problem. - Karl Doerner; Richard F. Hartl; Guenter Kiechle; Mária Lucká; Marc Reimann (EvoCOP, 2004)

Parallel Cooperative Savings Based Ant Colony Optimization - Multiple Search and Decomposition Approaches. - Karl F. Doerner; Richard F. Hartl; Siegfried Benkner; Mária Lucká (Parallel Process. Lett., 2006)

A Component Framework for Application Web Services. - Rainer Schmidt 003; Siegfried Benkner; Mária Lucká (CoreGRID, 2007)

Grid Services for Parallel Molecular Dynamics with NAMD and CHARMM. - Siegfried Benkner; Christian Schröder; Mária Lucká; Othmar Steinhauser (ICCSA (1), 2008)

Application of multistage stochastic programs solved in parallel in portfolio management. - Mária Lucká; Igor Melichercík; Ladislav Halada (Parallel Comput., 2008)

Application of Biologically Inspired Methods to Improve Adaptive Ensemble Learning. - Gabriela Grmanová; Viera Rozinajová; Anna Bou Ezzeddine; Mária Lucká; Peter Lacko; Marek Lóderer; Petra Vrablecová; Peter Laurinec (NaBIC, 2015)

Adaptive Time Series Forecasting of Energy Consumption Using Optimized Cluster Analysis. - Peter Laurinec; Marek Lóderer; Petra Vrablecová; Mária Lucká; Viera Rozinajová; Anna Bou Ezzeddine (ICDM Workshops, 2016)

Effective Parallel Multicore-Optimized K-mers Counting Algorithm. - Tomás Farkas; Peter Kubán; Mária Lucká (SOFSEM, 2016)

Using biologically inspired computing to effectively improve prediction models. - Anna Bou Ezzeddine; Marek Lóderer; Peter Laurinec; Petra Vrablecová; Viera Rozinajová; Mária Lucká; Peter Lacko; Gabriela Grmanová (Int. J. Hybrid Intell. Syst., 2016)

Usefulness of Unsupervised Ensemble Learning Methods for Time Series Forecasting of Aggregated or Clustered Load. - Peter Laurinec; Mária Lucká (NFMCP@PKDD/ECML, 2017)

Application of Parallel Genetic Algorithm for Model-Based Gaussian Cluster Analysis. - Peter Laurinec; Tomás Jarábek; Mária Lucká (IBICA, 2018)

Clustering-based forecasting method for individual consumers electricity load using time series representations. - Peter Laurinec; Mária Lucká (Open Comput. Sci., 2018)

Parallel Density-Based Downsampling of Cytometry Data. - Martin Nemcek; Tomás Jarábek; Mária Lucká (PACBB, 2019)

Cache-Efficient FM-Index Variants for Mapping of DNA Sequences. - Jozef Sitarcík; Mária Lucká (PACBB, 2019)

Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting. - Peter Laurinec; Mária Lucká (Data Min. Knowl. Discov., 2019)

Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption. - Peter Laurinec; Marek Lóderer; Mária Lucká; Viera Rozinajová (J. Intell. Inf. Syst., 2019)

Flower Pollination Algorithm for Detection of Epistasis Associated with a Phenotype. - Jozef Sitarcík; Mária Lucká; Tibor Krajcovic (BIOINFORMATICS, 2021)

Latent Space Representation of Electricity Market Curves for Improved Prediction Efficiency. - Martin Výboh; Zuzana Chladná; Gabriela Grmanová; Mária Lucká (CoRR, 2025)