Sep 15, 2019   7:55 a.m. Jolana, deň pracovného voľna - Sedembolestná Panna Mária
Academic information system

Persons at STU


This page displays all publicly accessible information about the desired person. Some information about the person's occupation and offices may be hidden.

prof. RNDr. Mária Lucká, PhD.
Identification number: 9204
University e-mail: maria.lucka [at] stuba.sk
 
Profesorka CSc.,PhD. - Institute of Informatics, Information Systems and Software Engineering (FIIT)

Contacts     Lesson     Projects     Publications     
Bodies     Supervised theses     Conferences     

Year:
Order by:

The selected person is an author of the following publications.

Ord.PublicationsType of resultYearDetails
1.Application of Parallel Genetic Algorithm for Model-Based Gaussian Cluster Analysis
Laurinec, Peter -- Jarábek, Tomáš -- Lucká, Mária
Application of Parallel Genetic Algorithm for Model-Based Gaussian Cluster Analysis. In Proceedings of the 9th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2018) held in Kochi, India during December 17-19, 2018: Innovations in Bio-Inspired Computing and Applications. 1st ed. Cham: Springer, 2019, p. 140--150. ISBN 978-3-030-16680-9.
contributions in anthologies, chapters in monographs/textbooks, abstracts2019Details
2.Cache-Efficient FM-Index Variants for Mapping of DNA Sequences
Sitarčík, Jozef -- Lucká, Mária
Cache-Efficient FM-Index Variants for Mapping of DNA Sequences. In 13th International Conference on Practical Applications of Computational Biology & Bioinformatics. Cham: Springer, 2019, p. 45--52. ISBN 978-3-030-23872-8.
contributions in anthologies, chapters in monographs/textbooks, abstracts2019Details
3.Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption
Laurinec, Peter -- Lóderer, Marek -- Lucká, Mária -- Rozinajová, Viera
Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption. Journal of Intelligent Information Systems, p. 1--21.
articles in magazines2019Details
4.Improvement and parallelization of ant colony optimization algorithm
Gáfrik, Andrej -- Lucká, Mária
Skvalitnenie a paralelizácia algoritmu optimalizácie kolóniou mravcov. Bachelor thesis. 2019.
final thesis2019Details
5.Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting
Laurinec, Peter -- Lucká, Mária
Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting. Data mining and knowledge discovery, 33. p. 413--445.
articles in magazines2019Details
6.Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting
Laurinec, Peter -- Lucká, Mária
Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting. Data mining and knowledge discovery, 33. p. 413--445.
articles in magazines2019Details
7.Optimization of layout of electromobiles charging stations
Žilka, Dominik -- Lucká, Mária
Optimalizácia siete dobíjacích staníc elektromobilov. Diploma thesis. 2019.
final thesis2019Details
8.Parallel Density-Based Downsampling of Cytometry Data
Nemček, Martin -- Jarábek, Tomáš -- Lucká, Mária
Parallel Density-Based Downsampling of Cytometry Data. In 13th International Conference on Practical Applications of Computational Biology & Bioinformatics. Cham: Springer, 2019, p. 87--95. ISBN 978-3-030-23872-8.
contributions in anthologies, chapters in monographs/textbooks, abstracts2019Details
9.Single nucleotide polymorphisms detection using biologically inspired algorithms
Zeliska, Michal -- Lucká, Mária
Hľadanie zmien v genetickom kóde pomocou biologicky inšpirovaných algoritmov. Bachelor thesis. 2019.
final thesis2019Details
10.SWSPM: A Novel Alignment-Free DNA Comparison Method Based on Signal Processing Approaches
Farkaš, Tomáš -- Sitarčík, Jozef -- Brejová, Broňa -- Lucká, Mária
SWSPM: A Novel Alignment-Free DNA Comparison Method Based on Signal Processing Approaches. Evolutionary Bioinformatics, 15. p. 1--11.
articles in magazines2019Details
11.Visualisation of cytometry data analysis results
Pomichal, Vajk -- Lucká, Mária
Vizualizácia výsledkov analýzy cytometrických dát. Bachelor thesis. 2019.
final thesis2019Details

Use the following button to export the list of publications to a format suitable for Excel.