| 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 | 50 | 2020 |
| The analysis of expert opinions’ consensus quality A Kozierkiewicz-Hetmańska Information Fusion 34, 80-86, 2017 | 37 | 2017 |
| Modern Approaches for Intelligent Information and Database Systems. A Sieminski, A Kozierkiewicz, M Nunez, QT Ha Springer, 2018 | 22 | 2018 |
| 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 | 21 | 2021 |
| 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 | 21 | 2017 |
| A method for scenario recommendation in intelligent e-learning systems A Kozierkiewicz-Hetmańska Cybernetics and Systems: An International Journal 42 (2), 82-99, 2011 | 17 | 2011 |
| A method for learning scenario determination and modification in intelligent tutoring systems A Kozierkiewicz-Hetmańska, NT Nguyen Zielona Góra: Uniwersytet Zielonogórski, 2011 | 17 | 2011 |
| Semi-automatic definition of attribute semantics for the purpose of ontology integration B Hnatkowska, A Kozierkiewicz, M Pietranik IEEE Access 8, 107272-107284, 2020 | 15 | 2020 |
| Comparison of one-level and two-level consensuses satisfying the 2-optimality criterion A Kozierkiewicz-Hetmańska International Conference on Computational Collective Intelligence, 1-10, 2012 | 12 | 2012 |
| A computer adaptive testing method for intelligent tutoring systems A Kozierkiewicz-Hetmańska, NT Nguyen International Conference on Knowledge-Based and Intelligent Information and …, 2010 | 12 | 2010 |
| A method for scenario modification in intelligent e-learning systems using graph-based structure of knowledge A Kozierkiewicz-Hetmańska, NT Nguyen Advances in Intelligent Information and Database Systems, 169-179, 2010 | 12 | 2010 |
| The data richness estimation framework for federated data warehouse integration R Kern, A Kozierkiewicz, M Pietranik Information Sciences 513, 397-411, 2020 | 11 | 2020 |
| Fuzzy ontology integration using consensus to solve conflicts on concept level TH Duong, NT Nguyen, A Kozierkiewicz-Hetmańska, GS Jo New Challenges for Intelligent Information and Database Systems, 33-42, 2011 | 11 | 2011 |
| 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 | 10 | 2023 |
| The comparison of creating homogeneous and heterogeneous collaborative learning groups in intelligent tutoring systems J Bernacki, A Kozierkiewicz-Hetmańska Intelligent Information and Database Systems: 7th Asian Conference, ACIIDS …, 2015 | 10 | 2015 |
| Deep learning for repayment prediction in leasing companies M Hernes, A Kozierkiewicz, M Maleszka, A Rot, A Kozina, K Matenczuk, ... University of Piraeus. International Strategic Management Association, 2021 | 9 | 2021 |
| 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 | 9 | 2017 |
| Creating collaborative learning groups in intelligent tutoring systems J Bernacki, A Kozierkiewicz-Hetmańska International Conference on Computational Collective Intelligence, 184-193, 2014 | 9 | 2014 |
| A comparison analysis of consensus determining using one and two-level methods A Kozierkiewicz-Hetmańska, N Thanh Nguyen Advances in Knowledge-Based and Intelligent Information and Engineering …, 2012 | 9 | 2012 |
| A conception for modification of learning scenario in an intelligent e-learning system A Kozierkiewicz-Hetmańska International Conference on Computational Collective Intelligence, 87-96, 2009 | 9 | 2009 |
