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pro vyhledávání: '"Kocbek P"'
This review examines the development of abstractive NLP-based text summarization approaches and compares them to existing techniques for extractive summarization. A brief history of text summarization from the 1950s to the introduction of pre-trained
Externí odkaz:
http://arxiv.org/abs/2411.11635
Autor:
Stiglic, Gregor, Kopitar, Leon, Gosak, Lucija, Kocbek, Primoz, He, Zhe, Chakraborty, Prithwish, Meyer, Pablo, Bian, Jiang
Primary care professionals struggle to keep up to date with the latest scientific literature critical in guiding evidence-based practice related to their daily work. To help solve the above-mentioned problem, we employed generative artificial intelli
Externí odkaz:
http://arxiv.org/abs/2307.15715
Machine Learning (ML) models are often complex and difficult to interpret due to their 'black-box' characteristics. Interpretability of a ML model is usually defined as the degree to which a human can understand the cause of decisions reached by a ML
Externí odkaz:
http://arxiv.org/abs/2006.13815
Autor:
Nino Fijačko, Ruth Masterson Creber, Benjamin S. Abella, Primož Kocbek, Špela Metličar, Robert Greif, Gregor Štiglic
Publikováno v:
Resuscitation Plus, Vol 18, Iss , Pp 100584- (2024)
Aims: The aim of this study is to use generative artificial intelligence to perform bibliometric analysis on abstracts published at European Resuscitation Council (ERC) annual scientific congress and define trends in ERC guidelines topics over the la
Externí odkaz:
https://doaj.org/article/eed4782ff41e467b9c5edc6bcd69ce33
Autor:
Stiglic, Gregor, Kocbek, Primoz, Fijacko, Nino, Zitnik, Marinka, Verbert, Katrien, Cilar, Leona
Publikováno v:
WIREs Data Mining Knowl Discov (2020)
There is a need of ensuring machine learning models that are interpretable. Higher interpretability of the model means easier comprehension and explanation of future predictions for end-users. Further, interpretable machine learning models allow heal
Externí odkaz:
http://arxiv.org/abs/2002.08596
Publikováno v:
Nanomaterials, Vol 14, Iss 11, p 949 (2024)
Hydrophilic nanofibers offer promising potential for the delivery of drugs with diverse characteristics. Yet, the effects of different drugs incorporated into these nanofibers on their properties remain poorly understood. In this study, we systematic
Externí odkaz:
https://doaj.org/article/2974f509050341bc8cf448f205184b69
Akademický článek
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Autor:
Jelka Pirkovič, Luka Kocbek
Publikováno v:
Ars & Humanitas, Vol 17, Iss 1 (2023)
Dealing with interpretation, we first revisited the theoretical models of hermeneutics (hermeneutical cycle), semantics (triangle) and information sciences, as well as the model of heritage interpretation pedagogy. To design a more appropriate herita
Externí odkaz:
https://doaj.org/article/9732a6f383e34f58b56e5b26f859595c
Publikováno v:
Pharmaceutics, Vol 16, Iss 5, p 607 (2024)
The existing in vitro toxicological models lack translational potential, which makes difficult the application of gathered information to clinical usage. To tackle this issue, we built a model with four different types of primary liver cells: hepatic
Externí odkaz:
https://doaj.org/article/d554d1df8e5a4f3ba426b4cf0253d468
Akademický článek
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