Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Przemysław Kazienko"'
Autor:
Stanisław Saganowski, Joanna Komoszyńska, Maciej Behnke, Bartosz Perz, Dominika Kunc, Bartłomiej Klich, Łukasz D. Kaczmarek, Przemysław Kazienko
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-11 (2022)
Measurement(s) cardiac output measurement • Electroencephalography • Galvanic Skin Response • Temperature • acceleration • facial expressions Technology Type(s) photoplethysmogram • electroencephalogram (5 electrodes) • electrodermal ac
Externí odkaz:
https://doaj.org/article/54f44d7f0446415a95e05de1f1acf332
Autor:
Adam G. Polak, Bartłomiej Klich, Stanisław Saganowski, Monika A. Prucnal, Przemysław Kazienko
Publikováno v:
Sensors, Vol 22, Iss 18, p 7047 (2022)
Cardiac monitoring based on wearable photoplethysmography (PPG) is widespread because of its usability and low cost. Unfortunately, PPG is negatively affected by various types of disruptions, which could introduce errors to the algorithm that extract
Externí odkaz:
https://doaj.org/article/94a8cd1086454d3f8a69b8b2f4d25bf9
Autor:
Radosław Michalski, Boleslaw K. Szymanski, Przemysław Kazienko, Christian Lebiere, Omar Lizardo, Marcin Kulisiewicz
Publikováno v:
Complexity, Vol 2021 (2021)
Human relations are driven by social events—people interact, exchange information, share knowledge and emotions, and gather news from mass media. These events leave traces in human memory, the strength of which depends on cognitive factors such as
Externí odkaz:
https://doaj.org/article/68dc1b961edb4a15aeb96ef57f6f6f85
Autor:
Jarosław Jankowski, Piotr Bródka, Przemysław Kazienko, Boleslaw K. Szymanski, Radosław Michalski, Tomasz Kajdanowicz
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
Abstract Information spreading in complex networks is often modeled as diffusing information with certain probability from nodes that possess it to their neighbors that do not. Information cascades are triggered when the activation of a set of initia
Externí odkaz:
https://doaj.org/article/fc3132f200df4a5e816ba7bb88b8ea19
Publikováno v:
PLoS ONE, Vol 14, Iss 10, p e0224194 (2019)
In the world, in which acceptance and the identification with social communities are highly desired, the ability to predict the evolution of groups over time appears to be a vital but very complex research problem. Therefore, we propose a new, adapta
Externí odkaz:
https://doaj.org/article/ddff6a5cb7b94c05b9a26b772fc6cfda
Autor:
Stanisław Saganowski, Bogdan Gliwa, Piotr Bródka, Anna Zygmunt, Przemysław Kazienko, Jarosław Koźlak
Publikováno v:
Entropy, Vol 17, Iss 5, Pp 3053-3096 (2015)
Nowadays, sustained development of different social media can be observed worldwide. One of the relevant research domains intensively explored recently is analysis of social communities existing in social media as well as prediction of their future e
Externí odkaz:
https://doaj.org/article/b791fb8e4b184f388006e71b5059553f
Publikováno v:
Complexity, Vol 2017 (2017)
One of the most popular methods of estimating the complexity of networks is to measure the entropy of network invariants, such as adjacency matrices or degree sequences. Unfortunately, entropy and all entropy-based information-theoretic measures have
Externí odkaz:
https://doaj.org/article/59c2e58d4dd5443c80a89abffdad27fd
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
The data gathered in all kinds of web-based systems, which enable users to interact with each other, provides an opportunity to extract social networks that consist of people and relationships between them. The emerging structures are very complex du
Externí odkaz:
https://doaj.org/article/eab3146983984051b08065abfe0857d9
Autor:
Przemysław Kazienko, Julita Bielaniewicz, Marcin Gruza, Kamil Kanclerz, Konrad Karanowski, Piotr Miłkowski, Jan Kocoń
Publikováno v:
Information Fusion. 94:43-65
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::004437dc88950b5731dbee585ce37e22
https://doi.org/10.1016/j.inffus.2023.01.010
https://doi.org/10.1016/j.inffus.2023.01.010
Publikováno v:
Proceedings of the Twentieth ACM Conference on Embedded Networked Sensor Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa6f6c83c7e3e33017f60798f2bf1cf3
https://doi.org/10.1145/3560905.3567759
https://doi.org/10.1145/3560905.3567759