Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jaroslaw Piersa"'
Autor:
Piotr Andruszkiewicz, Paweł Bujnowski, Zuzanna Bordzicka, Klaudia Firląg, Joanna Kolis, Michał Satława, Jaroslaw Piersa, Katarzyna Beksa, Katarzyna Zamłyńska, Christian Goltz
Publikováno v:
SemEval@ACL/IJCNLP
This paper presents a system used for SemEval-2021 Task 5: Toxic Spans Detection. Our system is an ensemble of BERT-based models for binary word classification, trained on a dataset extended by toxic comments modified and generated by two language mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::772056e676e4c32837741e8bdb0b071f
https://doi.org/10.18653/v1/2021.semeval-1.133
https://doi.org/10.18653/v1/2021.semeval-1.133
Autor:
Tymoteusz Krumholc, Kseniia Ryzhova, Katarzyna Beksa, Katarzyna Witkowska, Jaroslaw Piersa, Paweł Bujnowski, Hyung-Tak Choi
Publikováno v:
COLING (Industry)
The topic of this paper is neural multi-task training for text style transfer. We present an efficient method for neutral-to-style transformation using the transformer framework. We demonstrate how to prepare a robust model utilizing large paraphrase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5838e9cf5690880b71813b8cbeb2ce43
https://doi.org/10.18653/v1/2020.coling-industry.6
https://doi.org/10.18653/v1/2020.coling-industry.6
Autor:
Jaroslaw Piersa
Publikováno v:
ICTAI
In this work we propose simulated annealing based search algorithm for optimal ramified transportation route in R 2. The cost function of the transport network allows the system to merge small roads into larger highways, carry the goods together and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::011e996229a89e600437065be0681672
https://doi.org/10.1109/ictai.2014.104
https://doi.org/10.1109/ictai.2014.104
Autor:
Jaroslaw Piersa, Katarzyna Zając
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783642386572
ICAISC (1)
ICAISC (1)
Full paper available at Springerlink: http://link.springer.com/chapter/10.1007%2F978-3-642-38658-9_19 In this work we provide a spectral comparison of functional networks in fMRI data of brain activity and artificial energy-based neural model. The sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b75bf06cab67cbe3f5f57b58345c5bf5
https://doi.org/10.1007/978-3-642-38658-9_19
https://doi.org/10.1007/978-3-642-38658-9_19
Autor:
Jaroslaw Piersa, Tomasz Schreiber
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783642293467
ICAISC (1)
Artificial Intelligence and Soft Computing
Lecture Notes in Computer Science
ICAISC (1)
Artificial Intelligence and Soft Computing
Lecture Notes in Computer Science
In this work we study a simplified model of a neural activity flow in networks, whose connectivity is based on geometrical embedding, rather than being lattices or fully connected graphs. We present numerical results showing that as the spectrum (set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f9ca5bd8d0344e39159ac0626caa7b9
https://doi.org/10.1007/978-3-642-29347-4_17
https://doi.org/10.1007/978-3-642-29347-4_17
Autor:
Jaroslaw Piersa
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783642314636
PPAM (1)
Parallel Processing and Applied Mathematics
Lecture Notes in Computer Science
PPAM (1)
Parallel Processing and Applied Mathematics
Lecture Notes in Computer Science
Average path length is recognised as one of the vital characteristics of random graphs and complex networks. Despite a rather sparse structure, some cases were reported to have a relatively short lengths between every pair of nodes, making the whole
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2ca98f123a229924d46f12d41dd9216
https://doi.org/10.1007/978-3-642-31464-3_52
https://doi.org/10.1007/978-3-642-31464-3_52
Publikováno v:
IEEE transactions on neural networks. 21(11)
In this paper, we provide theoretical and numerical analysis of a geometric activity flow network model which is aimed at explaining mathematically the scale-free functional graph self-organization phenomena emerging in complex nervous systems at a m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::060a9745a22dd5a125b52ec5e0a82e64
https://pubmed.ncbi.nlm.nih.gov/20889428
https://pubmed.ncbi.nlm.nih.gov/20889428