Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ardi Tampuu"'
Autor:
Siim Kurvits, Ainika Harro, Anu Reigo, Anne Ott, Sven Laur, Dage Särg, Ardi Tampuu, the Estonian Biobank Research Team, Kaur Alasoo, Jaak Vilo, Lili Milani, Toomas Haller, the PRECISE4Q consortium
Publikováno v:
European Journal of Medical Research, Vol 28, Iss 1, Pp 1-14 (2023)
Abstract Background Ischemic stroke (IS) is a major health risk without generally usable effective measures of primary prevention. Early warning signals that are easy to detect and widely available can save lives. Estonia has one nation-wide Electron
Externí odkaz:
https://doaj.org/article/91b631f5d36245ca9c561eb9c655b94f
Publikováno v:
Sensors, Vol 24, Iss 6, p 1963 (2024)
This study investigates the effects of speed variations and computational delays on the performance of end-to-end autonomous driving systems (ADS). Utilizing 1:10 scale mini-cars with limited computational resources, we demonstrate that different dri
Externí odkaz:
https://doaj.org/article/44fd9e6cb34b4c70beb70fc1047745f0
Publikováno v:
Sensors, Vol 23, Iss 5, p 2845 (2023)
The core task of any autonomous driving system is to transform sensory inputs into driving commands. In end-to-end driving, this is achieved via a neural network, with one or multiple cameras as the most commonly used input and low-level driving comm
Externí odkaz:
https://doaj.org/article/ac9cf9883c144fe6b4f5465a97033c8c
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
Perspective taking is the ability to take into account what the other agent knows. This skill is not unique to humans as it is also displayed by other animals like chimpanzees. It is an essential ability for social interactions, including efficient c
Externí odkaz:
https://doaj.org/article/ba5f49a784f249bc9fe539a1031ad380
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-11 (2018)
Abstract Background Detection of highly divergent or yet unknown viruses from metagenomics sequencing datasets is a major bioinformatics challenge. When human samples are sequenced, a large proportion of assembled contigs are classified as “unknown
Externí odkaz:
https://doaj.org/article/9a4752f23439408093c3101a5ad8d59d
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 2, p e1006822 (2019)
Place cells in the mammalian hippocampus signal self-location with sparse spatially stable firing fields. Based on observation of place cell activity it is possible to accurately decode an animal's location. The precision of this decoding sets a lowe
Externí odkaz:
https://doaj.org/article/9cbe27d7651a48b1be993d82b8dff57c
Publikováno v:
PLoS ONE, Vol 14, Iss 9, p e0222271 (2019)
Despite its clinical importance, detection of highly divergent or yet unknown viruses is a major challenge. When human samples are sequenced, conventional alignments classify many assembled contigs as "unknown" since many of the sequences are not sim
Externí odkaz:
https://doaj.org/article/06fc58a675884fbea7c811de7e833f3b
Autor:
Ardi Tampuu, Tambet Matiisen, Dorian Kodelja, Ilya Kuzovkin, Kristjan Korjus, Juhan Aru, Jaan Aru, Raul Vicente
Publikováno v:
PLoS ONE, Vol 12, Iss 4, p e0172395 (2017)
Evolution of cooperation and competition can appear when multiple adaptive agents share a biological, social, or technological niche. In the present work we study how cooperation and competition emerge between autonomous agents that learn by reinforc
Externí odkaz:
https://doaj.org/article/171258db9ebc4978b9e6129c8310a00e
Autonomous driving is of great interest to industry and academia alike. The use of machine learning approaches for autonomous driving has long been studied, but mostly in the context of perception. In this article, we take a deeper look on the so-cal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b21a809cb0cb158d061ca6c8fe55964a
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 2, p e1006822 (2019)
PLoS Computational Biology
PLoS Computational Biology
Place cells in the mammalian hippocampus signal self-location with sparse spatially stable firing fields. Based on observation of place cell activity it is possible to accurately decode an animal’s location. The precision of this decoding sets a lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f21969cd7b992330ea528843f9269709
http://europepmc.org/articles/PMC6407788?pdf=render
http://europepmc.org/articles/PMC6407788?pdf=render