Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Lukáš Adam"'
Autor:
Mathias Schneeweiss-Gleixner, Katharina Krenn, Mathias Petter, Patrick Haselwanter, Felix Kraft, Lukas Adam, Georg Semmler, Lukas Hartl, Emina Halilbasic, Nina Buchtele, Christoph Krall, Thomas Staudinger, Christian Zauner, Michael Trauner, Albert Friedrich Stättermayer
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Data on cholestasis and biliary injury in patients with COVID-19 are scarce. The primary aim of this study was to evaluate the prevalence of cholestasis and factors associated with its development and outcome in critically ill patients with
Externí odkaz:
https://doaj.org/article/3e33b0571bdd40a39d9f0371083c0921
Autor:
Miles Welbourn, Paul Sheriff, Pirinka Georgiev Tuttle, Lukas Adamowicz, Dimitrios Psaltos, Amey Kelekar, Jessica Selig, Andrew Messere, Winnie Mei, David Caouette, Sana Ghafoor, Mar Santamaria, Hao Zhang, Charmaine Demanuele, F. Isik Karahanoglu, Xuemei Cai
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Traditional measurements of gait are typically performed in clinical or laboratory settings where functional assessments are used to collect episodic data, which may not reflect naturalistic gait and activity patterns. The emergence of digit
Externí odkaz:
https://doaj.org/article/1f6d1228a3cd484caab3535030fc223d
Documenting how human pressure on wildlife changes over time is important to minimise potential adverse effects through implementing appropriate management and policy actions; however, obtaining objective measures of these changes and their potential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a4fd37f1afc61609d7626ffbf68e82e
https://doi.org/10.1101/2022.05.19.492636
https://doi.org/10.1101/2022.05.19.492636
Autor:
Lukáš Adam, Vaclav Macha
Publikováno v:
Optimization Methods and Software. 37:451-479
We consider the distributionally robust optimization and show that computing the distributional worst-case is equivalent to computing the projection onto the canonical simplex with additional linear inequality. We consider several distance functions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40a130e478805d038da91b287ddd019b
https://doi.org/10.1080/10556788.2020.1797023
https://doi.org/10.1080/10556788.2020.1797023
Publikováno v:
Ecological Modelling. 476:110223
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34e080a34b72a81ed4855ab0748e5e7b
https://doi.org/10.1016/j.ecolmodel.2022.110223
https://doi.org/10.1016/j.ecolmodel.2022.110223
Autor:
Katharina Krenn, Petra Höbart, Lukas Adam, Gregor Riemann, Finn Christiansen, Oliver Domenig, Roman Ullrich
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
IntroductionThe classical axis of the renin–angiotensin system (RAS) makes an important contribution to blood pressure regulation under general anesthesia via the vasopressor angiotensin II (Ang II). As part of the alternative RAS, angiotensin-conv
Externí odkaz:
https://doaj.org/article/cdc71c45da4d47f3b9f477219c9175e6
Publikováno v:
Parallel Problem Solving from Nature – PPSN XVI ISBN: 9783030581145
PPSN (2)
PPSN (2)
Hypervolume optimal \(\mu \)-distribution is a fundamental research topic which investigates the distribution of \(\mu \) solutions on the Pareto front for hypervolume maximization. It has been theoretically shown that the optimal distribution of \(\
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8e495459ec844a9b8e32e7fcfb31e46
https://doi.org/10.1007/978-3-030-58115-2_18
https://doi.org/10.1007/978-3-030-58115-2_18
Publikováno v:
Annals of Operations Research. 292:683-709
We consider stochastic programs with joint chance constraints with discrete random distribution. We reformulate the problem by adding auxiliary variables. Since the resulting problem has a non-regular feasible set, we regularize it by increasing the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59debc8ce271da03e46d691da8419a3a
https://doi.org/10.1007/s10479-018-3091-9
https://doi.org/10.1007/s10479-018-3091-9
Publikováno v:
Neurocomputing. 317:42-49
Feature reduction is nowadays an important topic in machine learning as it reduces the complexity of the final model and makes it easier to interpret. In some applications, the features arise from multiple sources and it is not so important to select
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf4ec140f9d87247cbd99e6d5f3f298d
https://doi.org/10.1016/j.neucom.2018.07.012
https://doi.org/10.1016/j.neucom.2018.07.012
Autor:
Xin Yao, Lukáš Adam
Publikováno v:
SSCI
Robust optimization over time (ROOT) refers to an optimization problem where its performance is evaluated over a period of future time. Most of the existing algorithms use particle swarm optimization combined with another method which predicts future
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e0ab0b27ed855f877bd70e05bbc248f
https://doi.org/10.1109/ssci44817.2019.9002697
https://doi.org/10.1109/ssci44817.2019.9002697