Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Giziński, Stanisław"'
Autor:
Giziński, Stanisław, Kaczyńska, Paulina, Ruczyński, Hubert, Wiśnios, Emilia, Pieliński, Bartosz, Biecek, Przemysław, Sienkiewicz, Julian
Publikováno v:
Journal of Informetrics 18(4), 101572 (2024)
There exists a growing discourse around the domination of Big Tech on the landscape of artificial intelligence (AI) research, yet our comprehension of this phenomenon remains cursory. This paper aims to broaden and deepen our understanding of Big Tec
Externí odkaz:
http://arxiv.org/abs/2312.12881
Autor:
Piotrowski, Jan, Wachnicki, Marek, Perlik, Mateusz, Podolak, Jakub, Rucki, Grzegorz, Brzozowski, Michał, Olejnik, Paweł, Kozłowski, Julian, Nocoń, Tomasz, Kozieł, Jakub, Giziński, Stanisław, Sankowski, Piotr
X (formerly Twitter) has evolved into a contemporary agora, offering a platform for individuals to express opinions and viewpoints on current events. The majority of the topics discussed on Twitter are directly related to ongoing events, making it an
Externí odkaz:
http://arxiv.org/abs/2312.07599
Autor:
Wilczyński, Piotr, Żółkowski, Artur, Krzyziński, Mateusz, Wiśnios, Emilia, Pieliński, Bartosz, Giziński, Stanisław, Sienkiewicz, Julian, Biecek, Przemysław
This paper introduces HADES, a novel tool for automatic comparative documents with similar structures. HADES is designed to streamline the work of professionals dealing with large volumes of documents, such as policy documents, legal acts, and scient
Externí odkaz:
http://arxiv.org/abs/2302.13099
Autor:
Żółkowski, Artur, Krzyziński, Mateusz, Wilczyński, Piotr, Giziński, Stanisław, Wiśnios, Emilia, Pieliński, Bartosz, Sienkiewicz, Julian, Biecek, Przemysław
The number of standardized policy documents regarding climate policy and their publication frequency is significantly increasing. The documents are long and tedious for manual analysis, especially for policy experts, lawmakers, and citizens who lack
Externí odkaz:
http://arxiv.org/abs/2211.05852
Autor:
Giziński, Stanisław, Kaczyńska, Paulina, Ruczyński, Hubert, Wiśnios, Emilia, Pieliński, Bartosz, Biecek, Przemysław, Sienkiewicz, Julian
Publikováno v:
In Journal of Informetrics November 2024 18(4)
Autor:
Gizinski, Stanisław, Kuzba, Michał, Pielinski, Bartosz, Sienkiewicz, Julian, Łaniewski, Stanisław, Biecek, Przemysław
The growing number of AI applications, also for high-stake decisions, increases the interest in Explainable and Interpretable Machine Learning (XI-ML). This trend can be seen both in the increasing number of regulations and strategies for developing
Externí odkaz:
http://arxiv.org/abs/2108.06216
Autor:
Giziński, Stanisław, Preibisch, Grzegorz, Kucharski, Piotr, Tyrolski, Michał, Rembalski, Michał, Grzegorczyk, Piotr, Gambin, Anna
Publikováno v:
In Methods April 2024 224:1-9
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