Zobrazeno 1 - 10
of 771
pro vyhledávání: '"Štajduhar A"'
Autor:
Mladinov Mihovil, Sedmak Goran, Fuller Heidi R., Babić Leko Mirjana, Mayer Davor, Kirincich Jason, Štajduhar Andrija, Borovečki Fran, Hof Patrick R., Šimić Goran
Publikováno v:
Translational Neuroscience, Vol 7, Iss 1, Pp 139-150 (2016)
Schizophrenia is a complex polygenic disorder of unknown etiology. Over 3,000 candidate genes associated with schizophrenia have been reported, most of which being mentioned only once. Alterations in cognitive processing - working memory, metacogniti
Externí odkaz:
https://doaj.org/article/5229b6f198e74d4aa29c67d18956c28a
Background and objective: The usage of machine learning in medical diagnosis and treatment has witnessed significant growth in recent years through the development of computer-aided diagnosis systems that are often relying on annotated medical radiol
Externí odkaz:
http://arxiv.org/abs/2308.08517
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-31 (2024)
Abstract Background The use of machine learning in medical diagnosis and treatment has grown significantly in recent years with the development of computer-aided diagnosis systems, often based on annotated medical radiology images. However, the lack
Externí odkaz:
https://doaj.org/article/8469c6206b934eae8566b5df5cf4872a
Publikováno v:
Proceedings of the 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO)
Defensive Pass Interference (DPI) is one of the most impactful penalties in the NFL. DPI is a spot foul, yielding an automatic first down to the team in possession. With such an influence on the game, referees have no room for a mistake. It is also a
Externí odkaz:
http://arxiv.org/abs/2206.13222
Publikováno v:
Proceedings of the 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)
Creating large datasets of medical radiology images from several sources can be challenging because of the differences in the acquisition and storage standards. One possible way of controlling and/or assessing the image selection process is through m
Externí odkaz:
http://arxiv.org/abs/2206.12417
Autor:
Marko Curkovic, Filip Rubic, Ana Jozepovic, Milivoj Novak, Boris Filipovic-Grcic, Julije Mestrovic, Kristina Lah Tomulic, Branimir Peter, Diana Spoljar, Štefan Grosek, Sunčana Janković, Jurica Vukovic, Mirjana Kujundžić Tiljak, Andrija Štajduhar, Ana Borovecki
Publikováno v:
Frontiers in Pediatrics, Vol 12 (2024)
Background and aimThis study explores healthcare professionals’ perspectives on end-of-life care in pediatric intensive care units (ICUs) in Croatia, aiming to illuminate their experiences with such practices, underlying attitudes, and major decisi
Externí odkaz:
https://doaj.org/article/70e6221db9884198887b9a6bd7bcc130
Autor:
Otović, Erik, Njirjak, Marko, Jozinović, Dario, Mauša, Goran, Michelini, Alberto, Štajduhar, Ivan
Publikováno v:
Knowledge-Based Systems, Volume 239, 5 March 2022, 107976
In practice, it is very demanding and sometimes impossible to collect datasets of tagged data large enough to successfully train a machine learning model, and one possible solution to this problem is transfer learning. This study aims to assess how t
Externí odkaz:
http://arxiv.org/abs/2201.04449
In a recent study (Jozinovi\'c et al, 2020) we showed that convolutional neural networks (CNNs) applied to network seismic traces can be used for rapid prediction of earthquake peak ground motion intensity measures (IMs) at distant stations using onl
Externí odkaz:
http://arxiv.org/abs/2105.05075
Publikováno v:
Geophysical Journal International, 222(2), 1379-1389 (2020)
This study describes a deep convolutional neural network (CNN) based technique for the prediction of intensity measurements (IMs) of ground shaking. The input data to the CNN model consists of multistation 3C broadband and accelerometric waveforms re
Externí odkaz:
http://arxiv.org/abs/2002.06893
Autor:
Carter, Rachel Z., Siden, Ellie, Husband, Amber, Barwich, Doris, Soheilipour, Shimae, Kryworuchko, Jennifer, Sawatzky, Richard, Kazanjian, Arminee, Stajduhar, Kelli, Hassan, Eman
Publikováno v:
In PEC Innovation 15 December 2023 3