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Faculty of Information and Communication Technology

Prof. Halina Kwaśnicka, DSc, PhD, Eng

E-mail: halina.kwasnicka@pwr.edu.pl

Position: Head of Department

Unit: Faculty of Information and Communication Technology (N) » Departament of Artificial intelligence

Halina Kwaśnickapl. Grunwaldzki 9, 50-377 Wrocław
building D-2, room 201/1
phone +48 71 320 3534

Office hours

  • Tuesday 17.00-19.00
  • Thursday 11.00-13.00

Research fields

  • Artificial Intelligence; Machine Learning; generation of hierarchies of groups of objects, applications for the analysis of text documents and images; knowledge discovery from data; evolutionary computation and other metaheuristics in applications.

Recent papers

2018

  • Kwaśnicka H., Jain L.C. (Eds), Bridging the Semantic Gap in Image and Video Analysis. Springer International Publishing AG, Book ID 430217_1_En, Series ID 8578, SeriesTitle Intelligent Systems Reference Library, 2018. DOI 10.1007/978-3-319-73891-8

2017

  • Slowik A., Kwasnicka H., Nature inspired methods and their industry applications swarm intelligence algorithms. IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2017.2786782
  • Paradowski M. T., Spytkowski M., Kwaśnicka H., A new F-score gradient-based training rule for the linear model. Pattern Analysis and Applications. 2017, s. 1-12.
  • Biegus T., Kwaśnicka H., Complex networks in the epidemic modelling. ntelligent Information and Database Systems : 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3-5, 2017 : proceedings. Pt. 1 / Nguyen Ngoc Thanh [i in.] (Eds.). Cham : Springer, cop. 2017, s. 202-213.

2011

  • Kwaśnicka H., Markowska-Kaczmar U., Mikosik M., Flocking behaviour in simple ecosystems as a result of artificial evolution. Applied Soft Computing. 2011, vol. 11, nr 1, s. 982-990.

Papers in DONA database


Selected publications
1
Referat konferencyjny
2026
Bianka S Kowalska, Halina Kwaśnicka,
From networks to circuits: a structured approach to AI interpretability. W: Advances in 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. 380-394. ISBN: 978-3-032-10208-9; 978-3-032-10209-6
Zasoby:DOIURLSFX
2
Redakcja materiałów konferencyjnych
2025
Ashwani Kumar Dubey, Alvaro Rocha, Halina Kwaśnicka, Lyudmila Mihaylova,
Advancements in Signal, Image and Video Processing : Select Proceedings of SPIN 2025, Volume 1. Singapore: Springer Nature Singapore, cop. 2025. LXXXI, 406 s. ISBN: 978-981-96-9966-7; 978-981-96-9967-4
(Lecture Notes in Electrical Engineering, ISSN 1876-1119; vol. 1449)
Zasoby:DOIURL
3
Artykuł
2024
Bianka S Kowalska, Hubert Baran, Daniil Hardzetski, Halina Kwaśnicka, Aleksandra S Marcinów, Małgorzata Biegańska,
Analysis of the new architectural dataset NeoFaçade and its potential in machine learning = Analiza nowego zbioru danych architektonicznych NeoFaçade oraz jego potencjału w uczeniu maszynowym. Architectus. 2024, nr 4, s. 75-84. ISSN: 1429-7507; 2084-5227
Zasoby:DOIURLLista MNiSWOpen Access
4
Artykuł
2024
Aleksandra S Marcinów, Małgorzata Biegańska, Bianka S Kowalska, Hubert Baran, Daniil Hardzetski, Halina Kwaśnicka,
Building a dataset of Wrocław’s historic tenements. Image annotation for machine learning applications = Budowa zbioru danych historycznych kamienic Wrocławia. Anotacja zdjęć do wykorzystania w uczeniu maszynowym. Architectus. 2024, nr 3, s. 55-64. ISSN: 1429-7507; 2084-5227
Zasoby:DOILista MNiSWOpen Access
5
Referat konferencyjny
2024
Jan F Jakubik, Halina Kwaśnicka,
Drawing attributions from evolved counterfactuals. W: GECCO '24 Companion : Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, July 14-18, 2024, Melbourne, Australia / ed. Julia Handl. New York, NY : ACM, cop. 2024. s. 1582-1589. ISBN: 979-8-4007-0495-6
Zasoby:DOIOpen Access
6
Referat konferencyjny
2023
Adam Piróg, Halina Kwaśnicka,
Snapshot Spectral Clustering - a costless approach to deep clustering ensembles generation. W: 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, 18-23 June 2023 : conference proceedings. Danvers, MA : IEEE, cop. 2023. s. 1-8. ISBN: 978-1-6654-8867-9; 978-1-6654-8868-6
Zasoby:DOI
7
Referat konferencyjny
2023
Marcin M Komarnicki, Halina Kwaśnicka, Michał W Przewoźniczek, Krzysztof Walkowiak,
Incremental recursive ranking grouping - a decomposition strategy for additively and nonadditively separable problems. W: GECCO’23 Companion : Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion, July 15-19, 2023, Lisbon, Portugal / ed. Luís Paquete. New York, NY : ACM, cop. 2023. s. 27-28. ISBN: 979-8-4007-0120-7
Zasoby:DOIOpen Access
8
Redakcja monografii i prac zbiorowych
2023
Halina Kwaśnicka, Nikhil Jain, Urszula Markowska-Kaczmar, Chee Peng Lim, Lakhmi C Jain,
Advances in smart healthcare paradigms and applications : outstanding women in healthcare. Vol. 1. Cham: Springer, cop. 2023. XII, 255 s. ISBN: 978-3-031-37305-3; 978-3-031-37306-0
(Intelligent Systems Reference Library, ISSN 1868-4394; vol. 244)
Zasoby:DOI
9
Artykuł
2023
Marcin M Komarnicki, Michał W Przewoźniczek, Halina Kwaśnicka, Krzysztof Walkowiak,
Incremental recursive ranking grouping for large scale global optimization. IEEE Transactions on Evolutionary Computation. 2023, vol. 27, nr 5, s. 1498-1513. ISSN: 1089-778X; 1941-0026
Zasoby:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSW
10
Referat konferencyjny
2021
Halina Kwaśnicka, Tsvetan Ovedenski,
Pix2Trips - a system supporting small groups of urban tourists. W: Proceedings of the 16th Conference on Computer Science and Intelligence Systems, September 2-5, 2021, online / eds. Maria Ganzha [i in.]. Warszawa : Polskie Towarzystwo Informatyczne ; New York City : IEEE, 2021. s. 141-145. ISBN: 978-83-959183-8-4; 978-83-959183-7-7; 978-83-959183-6-0
Zasoby:DOIURLSFX

All publications

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