Zobrazeno 1 - 10
of 746
pro vyhledávání: '"P, Šedivý"'
Autor:
Štěpán Josef, Šedivý Jiří, Kuta Bohuslav, Tesařík Richard, Schaffelhoferová Dita, Petra Cihlářová, Šulda Mirek
Publikováno v:
Journal of Medical Case Reports, Vol 18, Iss 1, Pp 1-8 (2024)
Abstract Background Bacterial pneumonia is one of the most common causes of acute respiratory distress syndrome. In fulminant cases, when mechanical ventilation fails, veno-venous extracorporeal membrane oxygenation is required. However, this method
Externí odkaz:
https://doaj.org/article/68ea291dfcac4cec90cfb28cd0b809f5
Autor:
Pichl, Jan, Marek, Petr, Konrád, Jakub, Lorenc, Petr, Kobza, Ondřej, Zajíček, Tomáš, Šedivý, Jan
Publikováno v:
NAACL Demo Track (2022) 39-45
This paper presents a conversational AI platform called Flowstorm. Flowstorm is an open-source SaaS project suitable for creating, running, and analyzing conversational applications. Thanks to the fast and fully automated build process, the dialogues
Externí odkaz:
http://arxiv.org/abs/2212.09377
Autor:
Lenka Rossmeislová, Eva Krauzová, Michal Koc, Marek Wilhelm, Viktor Šebo, Zuzana Varaliová, Veronika Šrámková, Moniek Schouten, Petr Šedivý, Petr Tůma, Jan Kovář, Dominique Langin, Jan Gojda, Michaela Šiklová
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37875- (2024)
Fasting induces significant shifts in substrate utilization with signs of acute insulin resistance (IR), while obesity is associated with chronic IR. Nonetheless, both states substantially influence adipose tissue (AT) function. Therefore, in this in
Externí odkaz:
https://doaj.org/article/9a796c5a2d4649cebfae37b64651269d
Autor:
Lorenc, Petr, Gargiani, Tommaso, Pichl, Jan, Konrád, Jakub, Marek, Petr, Kobza, Ondřej, Šedivý, Jan
Conversational agents are usually designed for closed-world environments. Unfortunately, users can behave unexpectedly. Based on the open-world environment, we often encounter the situation that the training and test data are sampled from different d
Externí odkaz:
http://arxiv.org/abs/2204.10849
The high prevalence of depression in society has given rise to the need for new digital tools to assist in its early detection. To this end, existing research has mainly focused on detecting depression in the domain of social media, where there is a
Externí odkaz:
http://arxiv.org/abs/2204.10841
Autor:
Konrád, Jakub, Pichl, Jan, Marek, Petr, Lorenc, Petr, Ta, Van Duy, Kobza, Ondřej, Hýlová, Lenka, Šedivý, Jan
The open domain-dialogue system Alquist has a goal to conduct a coherent and engaging conversation that can be considered as one of the benchmarks of social intelligence. The fourth version of the system, developed within the Alexa Prize Socialbot Gr
Externí odkaz:
http://arxiv.org/abs/2109.07968
Publikováno v:
Acta Polytechnica, Vol 64, Iss 1 (2024)
Most of the problems associated with open cracks in reinforced concrete industrial floors do not arise from technological indiscipline in the execution or exceeding the permitted floor load, but from the geotechnical profile beneath the floor. In the
Externí odkaz:
https://doaj.org/article/0c68950e44c445d190e65fa8a1dca87b
Publikováno v:
The Prague Bulletin of Mathematical Linguistics 2021 116
The foundation for the research of summarization in the Czech language was laid by the work of Straka et al. (2018). They published the SumeCzech, a large Czech news-based summarization dataset, and proposed several baseline approaches. However, it i
Externí odkaz:
http://arxiv.org/abs/2104.10454
The intent recognition is an essential algorithm of any conversational AI application. It is responsible for the classification of an input message into meaningful classes. In many bot development platforms, we can configure the NLU pipeline. Several
Externí odkaz:
http://arxiv.org/abs/2011.09825
The third version of the open-domain dialogue system Alquist developed within the Alexa Prize 2020 competition is designed to conduct coherent and engaging conversations on popular topics. The main novel contribution is the introduction of a system l
Externí odkaz:
http://arxiv.org/abs/2011.03261