Michał Kozielski
Cytowane przez
Cytowane przez
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
DISESOR-decision support system for mining industry
M Kozielski, M Sikora, Ł Wróbel
2015 Federated Conference on Computer Science and Information Systems …, 2015
Regression rule learning for methane forecasting in coal mines
M Kozielski, A Skowron, Ł Wróbel, M Sikora
Beyond Databases, Architectures and Structures: 11th International …, 2015
Sensor-based predictive maintenance with reduction of false alarms—A case study in heavy industry
M Hermansa, M Kozielski, M Michalak, K Szczyrba, Ł Wróbel, M Sikora
Sensors 22 (1), 226, 2021
Decision support and maintenance system for natural hazards, processes and equipment monitoring
M KozielsKi, M Sikora, Ł Wróbel
Eksploatacja i Niezawodność 18 (2), 218-228, 2016
RuleXAI—A package for rule-based explanations of machine learning model
D Macha, M Kozielski, Ł Wróbel, M Sikora
SoftwareX 20, 101209, 2022
Improving the results and performance of clustering bit-encoded XML documents
M Kozielski
Sixth IEEE International Conference on Data Mining-Workshops (ICDMW'06), 60-64, 2006
Multilevel conditional fuzzy c-means clustering of XML documents
M Kozielski
Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on …, 2007
Data on methane concentration collected by underground coal mine sensors
M Kozielski, M Sikora, Ł Wróbel
Data in brief 39, 107457, 2021
Symptom-based early-stage differentiation between SARS-CoV-2 versus other respiratory tract infections—Upper Silesia pilot study
J Mika, J Tobiasz, J Zyla, A Papiez, M Bach, A Werner, M Kozielski, ...
Scientific reports 11 (1), 13580, 2021
A meta-learning approach to methane concentration value prediction
M Kozielski
Beyond Databases, Architectures and Structures. Advanced Technologies for …, 2016
Fuzzy clustering and gene ontology based decision rules for identification and description of gene groups
A Gruca, M Kozielski, M Sikora
Man-Machine Interactions, 141-149, 2009
Screening support system based on patient survey data—Case study on classification of initial, locally collected COVID-19 data
J Henzel, J Tobiasz, M Kozielski, M Bach, P Foszner, A Gruca, M Kania, ...
Applied Sciences 11 (22), 10790, 2021
Classification supporting COVID-19 diagnostics based on patient survey data
J Henzel, J Tobiasz, M Kozielski, M Bach, P Foszner, A Gruca, M Kania, ...
arXiv preprint arXiv:2011.12247, 2020
Soft approach to identification of cohesive clusters in two gene representations
M Kozielski, A Gruca
Procedia Computer Science 35, 281-289, 2014
Investigating human color harmony preferences using unsupervised machine learning
P Skurowski, M Kozielski
Conference on Colour in Graphics, Imaging, and Vision 6, 59-64, 2012
Methods of gene ontology term similarity analysis in graph database environment
Ł Stypka, M Kozielski
Beyond Databases, Architectures, and Structures: 10th International …, 2014
The diffusion of viral content in multi-layered social networks
J Jankowski, M Kozielski, W Filipowski, R Michalski
Computational Collective Intelligence. Technologies and Applications: 5th …, 2013
Metody analizy sieci kryminalnych
K Harężlak, M Kozielski
Studia Informatica 31 (2A), 35-46, 2010
Hybrid data exploration methods to prediction tasks solving
M Sikora, M Kozielski
Theoretical and Applied Informatics 18 (1), 57-74, 2006
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