Marek Sikora
Marek Sikora
Silesian University of Technology; Institute of Innovative Technologies - associate professor
Zweryfikowany adres z polsl.pl
Cytowane przez
Cytowane przez
HuntMi: an efficient and taxon-specific approach in pre-miRNA identification
A Gudyś, MW Szcześniak, M Sikora, I Makałowska
BMC bioinformatics 14, 1-10, 2013
Application of rule induction algorithms for analysis of data collected by seismic hazard monitoring systems in coal mines
M Sikora
Archives of Mining Sciences 55 (1), 91-114, 2010
A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines
D Ślęzak, M Grzegorowski, A Janusz, M Kozielski, SH Nguyen, M Sikora, ...
Information Sciences 451, 112-133, 2018
Predicting seismic events in coal mines based on underground sensor measurements
A Janusz, M Grzegorowski, M Michalak, Ł Wróbel, M Sikora, D Ślęzak
Engineering Applications of Artificial Intelligence 64, 83-94, 2017
Induction and pruning of classification rules for prediction of microseismic hazards in coal mines
M Sikora
Expert Systems with Applications 38 (6), 6748-6758, 2011
GuideR: A guided separate-and-conquer rule learning in classification, regression, and survival settings
M Sikora, Ł Wróbel, A Gudyś
Knowledge-Based Systems 173, 1-14, 2019
Application of rule-based models for seismic hazard prediction in coal mines.
J Kabiesz, B Sikora, M Sikora, Ł Wróbel
Acta Montanistica Slovaca 18 (4), 2013
Rule quality measures in creation and reduction of data rule models
M Sikora
International Conference on Rough Sets and Current Trends in Computing, 716-725, 2006
Rule quality measures settings in classification, regression and survival rule induction—an empirical approach
Ł Wróbel, M Sikora, M Michalak
Fundamenta Informaticae 149 (4), 419-449, 2016
Decision rule-based data models using TRS and NetTRS–methods and algorithms
M Sikora
Transactions on Rough Sets XI, 130-160, 2010
Data-driven adaptive selection of rule quality measures for improving rule induction and filtration algorithms
M Sikora, Ł Wróbel
International Journal of General Systems 42 (6), 594-613, 2013
Application of machine learning for prediction a methane concentration in a coal-mine
M Sikora, B Sikora
Archives of Mining Sciences 51 (4), 475-492, 2006
Mining data from coal mines: IJCRS’15 data challenge
A Janusz, M Sikora, Ł Wróbel, S Stawicki, M Grzegorowski, P Wojtas, ...
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 15th …, 2015
Data-driven adaptive selection of rules quality measures for improving the rules induction algorithm
M Sikora, Ł Wróbel
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th …, 2011
Energy consumption forecasting for the digital-twin model of the building
J Henzel, Ł Wróbel, M Fice, M Sikora
Energies 15 (12), 4318, 2022
DISESOR-decision support system for mining industry
M Kozielski, M Sikora, Ł Wróbel
2015 Federated Conference on Computer Science and Information Systems …, 2015
RuleKit: A comprehensive suite for rule-based learning
A Gudyś, M Sikora, Ł Wróbel
Knowledge-Based Systems 194, 105480, 2020
Improving prediction models applied in systems monitoring natural hazards and machinery
M Sikora, B Sikora
International Journal of Applied Mathematics and Computer Science 22 (2 …, 2012
Application of a hybrid method of machine learning for description and on-line estimation of methane hazard in mine workings
M Sikora, Z Krzystanek, B Bojko, K Śpiechowicz
Journal of Mining Science 47, 493-505, 2011
Learning rule sets from survival data
Ł Wróbel, A Gudyś, M Sikora
BMC bioinformatics 18, 1-13, 2017
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