Zobrazeno 1 - 10
of 1 867
pro vyhledávání: '"A. Cerar"'
Autor:
Rožanec, Jože M., Petelin, Gašper, Costa, João, Bertalanič, Blaž, Cerar, Gregor, Guček, Marko, Papa, Gregor, Mladenić, Dunja
In many cases, a machine learning model must learn to correctly predict a few data points with particular values of interest in a broader range of data where many target values are zero. Zero-inflated data can be found in diverse scenarios, such as l
Externí odkaz:
http://arxiv.org/abs/2310.08088
Autor:
Abbas Ali Qayyum, Sabina Frljak, Morten Juhl, Gregor Poglajen, Gregor Zemljičl, Andraz Cerar, Thomas Litman, Annette Ekblond, Mandana Haack‐Sørensen, Lisbeth Drozd Højgaard, Jens Kastrup, Bojan Vrtovec
Publikováno v:
ESC Heart Failure, Vol 11, Iss 6, Pp 3882-3891 (2024)
Abstract Aims Allogeneic stem cell therapy is more logistically suitable compared with autologous cell therapy for large‐scale patient treatment. We aim to investigate the clinical safety and efficacy profile of the allogeneic adipose tissue derive
Externí odkaz:
https://doaj.org/article/4efbc44cf58741399740863e39dcfb5d
Autor:
Sandra Cerar
Publikováno v:
Slovenska pediatrija, Vol 31, Iss 3, Pp 155-162 (2024)
Bone is metabolically active tissue where bone formation and bone resorption processes occur throughout life. Bone mass consists of osteoid, mineral component, and bone cells. Bone mineralization is regulated by mineral availability, parathyroid horm
Externí odkaz:
https://doaj.org/article/e99aa24b2ed946c598865e515803474f
Autor:
Sandra Cerar
Publikováno v:
Slovenska pediatrija, Vol 31, Iss 3, Pp 155-162 (2024)
Kostnina je presnovno aktivno tkivo, v katerem se vseživljenj-sko vršijo procesi kostne izgradnje in razgradnje. Kostna masa sestoji iz osteoida, mineralnega dela in kostnih celic. Mineralizacijo kosti uravnavajo razpoložljivost mineralov, paratho
Externí odkaz:
https://doaj.org/article/49edb70b0f564782a66fc858a8362230
In recent years, the traditional feature engineering process for training machine learning models is being automated by the feature extraction layers integrated in deep learning architectures. In wireless networks, many studies were conducted in auto
Externí odkaz:
http://arxiv.org/abs/2308.03530
Non-intrusive load monitoring (NILM) is the process of obtaining appliance-level data from a single metering point, measuring total electricity consumption of a household or a business. Appliance-level data can be directly used for demand response ap
Externí odkaz:
http://arxiv.org/abs/2307.09244
Publikováno v:
Stem Cells International, Vol 2017 (2017)
Pathogenesis of AKI is complex and involves both local events in the kidney as well as systemic effects in the body that are interconnected and interdependent. Despite intensive investigations there is still no pharmacological agent that could provid
Externí odkaz:
https://doaj.org/article/881babb7a18243df9ae632c623e9f56c
The so-called black-box deep learning (DL) models are increasingly used in classification tasks across many scientific disciplines, including wireless communications domain. In this trend, supervised DL models appear as most commonly proposed solutio
Externí odkaz:
http://arxiv.org/abs/2305.10060
Autor:
Jan Rožanec, Natalija Kranjec, Ivana Obid, Andrej Steyer, Tjaša Cerar Kišek, Tom Koritnik, Mario Fafangel, An Galičič
Publikováno v:
Infectious Disease Reports, Vol 16, Iss 5, Pp 836-845 (2024)
Since COVID-19, mpox was the first emerging pathogen to have spread globally in 2022. Wastewater-based surveillance (WBS) has proven to be an efficient early warning system for detecting potential resurgences. This report aims to provide insight into
Externí odkaz:
https://doaj.org/article/71bfc7f5e7ff44b9a8c93c0f3d22caff
Location based services, already popular with end users, are now inevitably becoming part of new wireless infrastructures and emerging business processes. The increasingly popular Deep Learning (DL) artificial intelligence methods perform very well i
Externí odkaz:
http://arxiv.org/abs/2211.01759