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pro vyhledávání: '"Cerar, A."'
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
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
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
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
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
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
Autor:
Fortuna, Carolina, Mušić, Din, Cerar, Gregor, Čampa, Andrej, Kapsalis, Panagiotis, Mohorčič, Mihael
Artificial Intelligence (AI) technologies are moving from customized deployments in specific domains towards generic solutions horizontally permeating vertical domains and industries. For instance, decisions on when to perform maintenance of roads or
Externí odkaz:
http://arxiv.org/abs/2210.06956
Publikováno v:
Computer Communications, Volume 212, 1 December 2023, Pages 353-365
In recent years, much work has been done on processing of wireless spectrum data involving machine learning techniques in domain-related problems for cognitive radio networks, such as anomaly detection, modulation classification, technology classific
Externí odkaz:
http://arxiv.org/abs/2210.02899
The digital transformation of the energy infrastructure enables new, data driven, applications often supported by machine learning models. However, domain specific data transformations, pre-processing and management in modern data driven pipelines is
Externí odkaz:
http://arxiv.org/abs/2205.04267