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Faculty of Information and Communication Technology

Adrianna Kozierkiewicz, DSc, PhD, Eng

E-mail: adrianna.kozierkiewicz@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Department of Computer Science and Systems Engineering
Unit: Faculty of Information and Communication Technology (N) » Department of Applied Informatics

Wybrzeże Wyspiańskiego 27, 50-370 Wrocław
building A-1, room 203 G
phone +48 71 320 3258

Office hours

  • Wednesday 11.00-13.00
  • Thursday 15.00-17.00

Research fields

  • knowledge management; collective intelligence; recommendation system; ontologies; data analysis

Recent papers

2017

  • Kozierkiewicz A. 2017, The analysis of expert opinions’ consensus quality, Information Fusion, vol. 34, s. 80
  • Kozierkiewicz A., Pietranik M., 2017, The knowledge increase estimation framework for ontology integration on the concept level, Journal of Intelligent and Fuzzy Systems, vol. 32, nr 2, s. 1161-1172.

2014

  • Kozierkiewicz A., 2014, The analysis of a susceptibility to the consensus for a few representations of collective knowledge, International Journal of Software Engineering and Knowledge Engineering Vol. 24, No. 5, s. 759-775. DOI: 10.1142/S0218194014500296

2011

  • Kozierkiewicz A., 2011, A method for scenario recommendation in intelligent e-learning systems, Cybernetics and Systems, Vol. 42, No. 2
  • Kozierkiewicz A., Nguyen, N.T., 2011, A method for learning scenario determination and modification in intelligent tutoring system, International Journal Applied of Mathematics and Computer Science, Vol. 21, No. 1

Papers in DONA database


Selected publications
1
Proceeding paper
2024
Talshyn Sarsembayeva, Madina Mansurova, Adrianna Kozierkiewicz, Almagul Kurmanova, Adai Shomanov, Alma Maulenova,
Assessing student quality of life: Analysis of key influential factors. W: Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9–11, 2024 : proceedings, Pt. 2 / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2024. s. 54-66. ISBN: 978-3-031-70818-3; 978-3-031-70819-0
Resources:DOISFX
2
Monographs and other books editing
2024
Ngoc Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz,
Advances in Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9–11, 2024 : proceedings. Pt. 2. Cham: Springer, cop. 2024. XXVIII, 491 s. ISBN: 978-3-031-70258-7; 978-3-031-70259-4
(Communications in Computer and Information Science, ISSN 1865-0929; vol. 2166)
Resources:URL
3
Monographs and other books editing
2024
Ngoc Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz,
Advances in Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9–11, 2024 : proceedings. Pt. 1. Cham: Springer, cop. 2024. XXVIII, 409 s. ISBN: 978-3-031-70247-1; 978-3-031-70248-8
(Communications in Computer and Information Science, ISSN 1865-0929; vol. 2165)
Resources:URL
4
Monographs and other books editing
2024
Ngoc Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz,
Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9–11, 2024 : proceedings. Pt. 2. Cham: Springer, cop. 2024. XXVIII, 395 s. ISBN: 978-3-031-70818-3; 978-3-031-70819-0
(Lecture Notes in Computer Science, ISSN 0302-9743; vol. 14811)
Resources:URL
5
Proceeding paper
2024
Karol J Kiciński, Marcin Pietranik, Adrianna Kozierkiewicz,
A new method of detecting Alzheimer’s disease. W: Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9–11, 2024 : proceedings : part II / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2024. s. 305-318. ISBN: 978-3-031-70818-3; 978-3-031-70819-0
Resources:DOIURLSFX
6
Monographs and other books editing
2024
Ngoc Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz,
Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9–11, 2024 : proceedings. Pt. 1. Cham: Springer, cop. 2024. XXVII, 397 s. ISBN: 978-3-031-70815-2; 978-3-031-70816-9
(Lecture Notes in Computer Science, ISSN 0302-9743; vol. 14810)
Resources:URL
7
Proceeding paper
2024
Bartosz Brejna, Marcin Pietranik, Adrianna Kozierkiewicz,
The new K-Means initialization method. W: Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9–11, 2024 : proceedings : part I / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2024. s. 372-381. ISBN: 978-3-031-70815-2; 978-3-031-70816-9
Resources:DOIURLSFX
8
Proceeding paper
2024
Adrianna Kozierkiewicz, Marcin Pietranik, Aleksandra Stawarz,
Ensemble learning approach to fake news detection problem. W: Emerging Challenges in Intelligent Management Information Systems : Proceedings of 26th European Conference on Artificial Intelligence ECAI 2023 - IMIS 2023 : workshop / eds. Marcin Hernes, Jarosław Wątróbski. Cham : Springer, cop. 2024. s. 15-26. ISBN: 978-3-031-66760-2; 978-3-031-66761-9
Resources:DOIURLSFX
9
Proceeding paper
2023
Patient Zihisire Muke, Adrianna Kozierkiewicz, Marcin Pietranik,
Investigation and prediction of cognitive load during memory and arithmetic tasks. W: Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27-29, 2023 : proceedings / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2023. s. 832-845. ISBN: 978-3-031-41455-8; 978-3-031-41456-5
Resources:DOISFX
10
Proceeding paper
2023
Adrianna Kozierkiewicz, Marcin Pietranik, Wojciech Jankowiak,
Fuzzy logic framework for ontology concepts alignment. W: Intelligent Information and Database Systems 15th Asian Conference, ACIIDS 2023 : Phuket, Thailand, July 24-26, 2023 : Proceedings, Pt. 2 / ed. Ngoc Thanh Nguyen [i in.]. Singapore : Springer, cop. 2023. s. 170-182. ISBN: 978-981-99-5836-8; 978-981-99-5837-5
Resources:DOISFX

All publications

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