Zobrazeno 1 - 10
of 5 153
pro vyhledávání: '"A. Seeberger"'
Publikováno v:
ISCRAM 2024
Open Source Intelligence (OSINT) refers to intelligence efforts based on freely available data. It has become a frequent topic of conversation on social media, where private users or networks can share their findings. Such data is highly valuable in
Externí odkaz:
http://arxiv.org/abs/2409.01052
With the advancement of multimedia technologies, news documents and user-generated content are often represented as multiple modalities, making Multimedia Event Extraction (MEE) an increasingly important challenge. However, recent MEE methods employ
Externí odkaz:
http://arxiv.org/abs/2406.12420
Autor:
Wagner, Dominik, Lee, Seanie, Baumann, Ilja, Seeberger, Philipp, Riedhammer, Korbinian, Bocklet, Tobias
In this work, we optimize speculative sampling for parallel hardware accelerators to improve sampling speed. We notice that substantial portions of the intermediate matrices necessary for speculative sampling can be computed concurrently. This allows
Externí odkaz:
http://arxiv.org/abs/2406.11016
Automatic summarization of mass-emergency events plays a critical role in disaster management. The second edition of CrisisFACTS aims to advance disaster summarization based on multi-stream fact-finding with a focus on web sources such as Twitter, Re
Externí odkaz:
http://arxiv.org/abs/2402.09008
User-generated information content has become an important information source in crisis situations. However, classification models suffer from noise and event-related biases which still poses a challenging task and requires sophisticated task-adaptat
Externí odkaz:
http://arxiv.org/abs/2312.11020
Publikováno v:
Emerging Infectious Diseases, Vol 30, Iss 11, Pp 2333-2342 (2024)
Data on COVID-19 cases, deaths, hospitalizations, and vaccinations in Oklahoma, USA, have not been systematically described. The relationship between vaccination and COVID-19–related outcomes over time has not been investigated. We graphically desc
Externí odkaz:
https://doaj.org/article/bee5bda6a7614e8bb32a9a1f27dfe1c0
The CrisisFACTS Track aims to tackle challenges such as multi-stream fact-finding in the domain of event tracking; participants' systems extract important facts from several disaster-related events while incorporating the temporal order. We propose a
Externí odkaz:
http://arxiv.org/abs/2302.01148
Social media has become an important information source for crisis management and provides quick access to ongoing developments and critical information. However, classification models suffer from event-related biases and highly imbalanced label dist
Externí odkaz:
http://arxiv.org/abs/2211.11468
Autor:
Maria Weurlander, Linda Wänström, Astrid Seeberger, Annalena Lönn, Linda Barman, Håkan Hult, Robert Thornberg, Annika Wernerson
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Medical students experience emotional challenges during their undergraduate education, often related to work-based learning. Consequently, they may experience feelings of uncertainty and self-doubt, which can negatively affect the
Externí odkaz:
https://doaj.org/article/b880237582bf4b9a887ccb4747bd95d6
Autor:
Danglad-Flores, José, Sletten, Eric T., Reuber, Emelie E., Bienert, Klaus, Riegler, Hans, Seeberger, Peter H.
Publikováno v:
In Device 18 October 2024 2(10)