E-mail: tomasz.kajdanowicz@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) » Departament of Artificial intelligence

Wybrzeże Wyspiańskiego 27, 50-370 Wrocław
building A-1, room 203 K

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Selected publications
1	Article 2024 Bartosz Marcinkowski, Maja Goschorska, Natalia Wileńska, Jakub Siuta, Tomasz Kajdanowicz, MIRAD: A Method for interpretable ransomware attack detection. IEEE Access. 2024, vol. 12, s. 133810-133820. ISSN: 2169-3536 Resources:DOISFX
2	Proceeding paper 2024 Albert K Sawczyn, Katsiaryna Viarenich, Konrad D Wojtasik, Aleksandra Domogała, Marcin Oleksy, Maciej Piasecki, Tomasz Kajdanowicz, Developing PUGG for Polish: A modern approach to KBQA, MRC, and IR dataset vonstruction. W: 62st Annual Meeting of the Association for Computational Linguistics, ACL 2024 : Proceedings of the Conference, August 11-16, 2024. Stroudsburg : Association for Computational Linguistics, cop. 2024. s. 10978-10996. ISBN: 979-8-89176-099-8 Resources:URL
3	Proceeding paper 2024 Piotr Bielak, Tomasz Kajdanowicz, Representation learning in multiplex graphs: Where and how to fuse information?. W: Computational Science - ICCS 2024 : 24th International Conference, Malaga, Spain, July 2-4, 2024 : proceedings. Pt. 6 / eds. Leonardo Franco [i in.]. Cham : Springer, cop. 2024. s. 3-18. ISBN: 978-3-031-63777-3; 978-3-031-63778-0 Resources:DOIURLSFX
4	Proceeding paper 2024 Denis P Janiak, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz, Enhancing out-of-distribution detection through stochastic embeddings in self-supervised learning. W: Computational Science - ICCS 2024 : 24th International Conference, Malaga, Spain, July 2-4, 2024 : Proceedings. Pt. 7 / eds. Leonardo Franco [i in.]. Cham : Springer, cop. 2024. s. 337-351. ISBN: 978-3-031-63785-8; 978-3-031-63783-4 Resources:DOISFX
5	Proceeding paper 2024 Albert K Sawczyn, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz, Empowering small-scale knowledge graphs: A strategy of leveraging general-purpose knowledge graphs for enriched embeddings. W: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation : LREC-COLING 2024, 20-25 May, 2024, Torino, Italia. Main Conference Proceedings / eds. Nicoletta Calzolari [i in.]. [Gyeongju : International Committee on Computational Linguistic, 2024]. s. 5768-5782. ISBN: 978-2-493814-10-4 Resources:URL
6	Proceeding paper 2024 Piotr Zieliński, Tomasz Kajdanowicz, RDIR: capturing temporally-invariant representations of multiple objects in videos. W: 2024 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2024, 4-8 January 2024 Waikoloa, Hawaii : proceedings. Piscataway, NJ : IEEE, cop. 2024. s. 588-597. ISBN: 979-8-3503-7028-7 Resources:DOI
7	Article 2024 Janusz A Hołyst, Philipp Mayr, Michael Thelwall, Ingo Frommholz, Shlomo Havlin, Alon Sela, Yoed N Kenett, Denis Helic, Aljoša Rehar, Sebastijan R Maček, Przemysław Kazienko, Tomasz Kajdanowicz, Przemysław Biecek, Julian Sienkiewicz, Protect our environment from information overload. Nature Human Behaviour. 2024, vol. 8, s. 402-403. ISSN: 2397-3374 Resources:DOIURLSFX
8	Proceeding paper 2023 Łukasz Augustyniak, Szymon Woźniak, Marcin Gruza, Piotr Gramacki, Krzysztof Rajda, Mikołaj Morzy, Tomasz Kajdanowicz, Massively multilingual corpus of sentiment datasets and multi-faceted sentiment classification benchmark. W: Advances in Neural Information Processing Systems : 37th Conference on Neural Information Processing Systems (NeurIPS 2023) : Virtual-only Conference / eds. Oh A. [i in.]. [San Diego, CA. : Neural Information Processing Systems Foundation], 2023. s. 1-25. Resources:URLSFX
9	Proceeding paper 2023 Mateusz A Wójcik, Witold Kościukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Domain-agnostic neural architecture for class incremental continual learning in document processing platform. W: The 61th Annual Meeting of the Association for Computational Linguistics: Industry Track : Proceedings of the Industry Track, July 10-12, 2023. Stroudsburg : Association for Computational Linguistics, cop. 2023. s. 527-537. ISBN: 978-1-959429-68-5 Resources:DOI
10	Proceeding paper 2023 Witold Kościukiewicz, Mateusz A Wójcik, Tomasz Kajdanowicz, Similarity-based memory enhanced joint entity and relation extraction. W: Computational Science - ICCS 2023 : 23rd International Conference Prague, Czech Republic, July 3-5, 2023 : proceedings. Pt. 2 / eds. Jiří Mikyška [i in.]. Cham : Springer, cop. 2023. s. 290-297. ISBN: 978-3-031-36020-6; 978-3-031-36021-3 Resources:DOISFX

All publications