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Marcin Pietranik
Marcin Pietranik
Department of Applied Informatics, Wroclaw University of Science and Technology
Zweryfikowany adres z pwr.edu.pl
Tytuł
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Deep learning for grape variety recognition
B Franczyk, M Hernes, A Kozierkiewicz, A Kozina, M Pietranik, I Roemer, ...
Procedia Computer Science 176, 1211-1220, 2020
432020
A multi-attribute based framework for ontology aligning
M Pietranik, NT Nguyen
Neurocomputing 146, 276-290, 2014
432014
The knowledge increase estimation framework for ontology integration on the concept level
A Kozierkiewicz-Hetmańska, M Pietranik
Journal of Intelligent & Fuzzy Systems 32 (2), 1161-1172, 2017
192017
Semantic distance measure between ontology concept’s attributes
M Pietranik, NT Nguyen
Knowledge-Based and Intelligent Information and Engineering Systems: 15th …, 2011
152011
Semi-automatic definition of attribute semantics for the purpose of ontology integration
B Hnatkowska, A Kozierkiewicz, M Pietranik
IEEE Access 8, 107272-107284, 2020
142020
Financial time series forecasting: Comparison of traditional and spiking neural networks
K Mateńczuk, A Kozina, A Markowska, K Czerniachowska, ...
Procedia Computer Science 192, 5023-5029, 2021
132021
A method for ontology alignment based on semantics of attributes
M Pietranik, NT Nguyen
Cybernetics and Systems 43 (4), 319-339, 2012
132012
The data richness estimation framework for federated data warehouse integration
R Kern, A Kozierkiewicz, M Pietranik
Information Sciences 513, 397-411, 2020
92020
The knowledge increase estimation framework for ontology integration on the instance level
A Kozierkiewicz-Hetmańska, M Pietranik, B Hnatkowska
Intelligent Information and Database Systems: 9th Asian Conference, ACIIDS …, 2017
82017
Towards the pattern-based transformation of SBVR models to association-oriented models
M Jodłowiec, M Pietranik
Computational Collective Intelligence: 11th International Conference, ICCCI …, 2019
72019
A formal framework for the ontology evolution
A Kozierkiewicz, M Pietranik
Intelligent Information and Database Systems: 11th Asian Conference, ACIIDS …, 2019
72019
Assessing the quality of a consensus determined using a multi-level approach
A Kozierkiewicz-Hetmańska, M Pietranik
2017 IEEE International Conference on INnovations in Intelligent SysTems and …, 2017
62017
Framework for ontology evolution based on a multi-attribute alignment method
M Pietranik, NT Nguyen
2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), 108-112, 2015
62015
Updating Ontology Alignment on the Relation Level based on Ontology Evolution.
A Kozierkiewicz, M Pietranik
ENASE, 241-248, 2020
52020
Attribute mapping as a foundation of ontology alignment
M Pietranik, NT Nguyen
Asian Conference on Intelligent Information and Database Systems, 455-465, 2011
52011
Comparison of deep learning methods for grapevine growth stage recognition
M Schieck, P Krajsic, F Loos, A Hussein, B Franczyk, A Kozierkiewicz, ...
Computers and Electronics in Agriculture 211, 107944, 2023
42023
Fuzzy based approach to ontology relations alignment
B Hnatkowska, A Kozierkiewicz, M Pietranik
2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2021
42021
Shelf space allocation problem with horizontal shelf division
K Czerniachowska, K Lutosławski, A Kozina, K Mateńczuk, A Markowska, ...
Procedia Computer Science 192, 1550-1559, 2021
42021
Assessing ontology mappings on a level of concepts and instances
M Pietranik, A Kozierkiewicz, M Wesołowski
IEEE Access 8, 174845-174859, 2020
42020
Updating ontology alignment on the concept level based on ontology evolution
A Kozierkiewicz, M Pietranik
Advances in Databases and Information Systems: 23rd European Conference …, 2019
42019
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