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	Referat konferencyjny 2026 Bartosz Brejna, Kacper Szmergała, Adrianna Kozierkiewicz, The new method for detection of Alzheimer’s disease. W: Computational Collective Intelligence : 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025 : proceedings. Pt. 2 / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer Nature Switzerland AG, cop. 2026. s. 258-272. ISBN: 978-3-032-09320-2; 978-3-032-09321-9 Zasoby:DOIURLSFX
2	Redakcja materiałów konferencyjnych 2026 Ngoc Thanh Nguyen, Duc Anh Vu Dinh, Adrianna Kozierkiewicz, Sinh Van Nguyen, Manuel Núñez, Jan Treur, Gottfried Vossen, Advances in Computational Collective Intelligence : 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025 : proceedings. Pt. 1. Cham: Springer Nature Switzerland AG, cop. 2026. XXIV, 499 s. ISBN: 978-3-032-10201-0; 978-3-032-10202-7 (Communications in Computer and Information Science, ISSN 1865-0929; vol. 2747) Zasoby:DOIURL
3	Redakcja materiałów konferencyjnych 2026 Ngoc Thanh Nguyen, Duc Anh Vu Dinh, Adrianna Kozierkiewicz, Sinh Van Nguyen, Manuel Núñez, Jan Treur, Gottfried Vossen, Computational Collective Intelligence : 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025 : proceedings. Pt. 2. Cham: Springer Nature Switzerland AG, cop. 2026. XXIV, 513 s. ISBN: 978-3-032-09320-2; 978-3-032-09321-9 (Lecture Notes in Computer Science, ISSN 1611-3349; vol. 16139) Zasoby:DOIURL
4	Redakcja materiałów konferencyjnych 2026 Ngoc Thanh Nguyen, Duc Anh Vu Dinh, Adrianna Kozierkiewicz, Sinh Van Nguyen, Manuel Núñez, Jan Treur, Gottfried Vossen, Computational Collective Intelligence : 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025 : proceedings. Pt. 1. Cham: Springer Nature Switzerland AG, cop. 2026. XXIV, 497 s. ISBN: 978-3-032-09317-2; 978-3-032-09318-9 (Lecture Notes in Computer Science, ISSN 1611-3349; vol. 16138) Zasoby:DOIURL
5	Redakcja materiałów konferencyjnych 2026 Ngoc Thanh Nguyen, Duc Anh Vu Dinh, Adrianna Kozierkiewicz, Sinh Van Nguyen, Manuel Núñez, Jan Treur, Gottfried Vossen, Advances in Computational Collective Intelligence : 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025 : proceedings. Pt. 2. Cham: Springer Nature Switzerland AG, cop. 2026. XXIV, 513 s. ISBN: 978-3-032-10208-9; 978-3-032-10209-6 (Communications in Computer and Information Science, ISSN 1865-0929; vol. 2748) Zasoby:DOIURL
6	Artykuł 2025 Patient Zihisire Muke, Adrianna Kozierkiewicz, Machine learning techniques to improve the cognitive workload classification using multimodal sensors’ data. IEEE Access. 2025, s. 1-29. ISSN: 2169-3536 Zasoby:DOIURL
7	Referat konferencyjny 2025 Adrianna Kozierkiewicz, Adrian Graczyk, Elias Pimenidis, A multimodal approach to biometric authentication. W: Cybersecurity and Human Capabilities Through Symbiotic Artificial Intelligence : Proceedings of the 16th International Conference on Global Security, Safety and Sustainability, London, November 2024 / eds. Hamid Jahankhani, Biju Issac. Cham : Springer Nature Switzerland AG, cop. 2025. s. 481-496. ISBN: 978-3-031-82030-4; 978-3-031-82031-1 Zasoby:DOIURL
8	Artykuł 2025 Jose F Ribeiro Bezerra, Adrianna Kozierkiewicz, Marcin M Pietranik, A novel approach for tweet similarity in a context-aware fake news detection model. IEEE Access. 2025, vol. 13, s. 57043-57061. ISSN: 2169-3536 Zasoby:DOIURLSFX
9	Artykuł 2025 Bogumiła Hnatkowska, Adrianna Kozierkiewicz, Marcin M Pietranik, Formal transformation of OWL ontology to a FOKI generic meta-model. Computer Science and Information Systems. 2025, vol. 22, nr 1, s. 105-131. ISSN: 1820-0214 Zasoby:DOISFX
10	Referat konferencyjny 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 Zasoby:DOISFX

All publications