Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Djordje Miladinovic"'
Autor:
Sedef Kollarik, Inês Dias, Carlos G. Moreira, Dorita Bimbiryte, Djordje Miladinovic, Joachim M. Buhmann, Christian R. Baumann, Daniela Noain
Publikováno v:
Neurodegenerative Diseases, 22 (2)
Introduction: Sleep insufficiency or decreased quality have been associated with Alzheimer's disease (AD) already in its preclinical stages. Whether such traits are also present in rodent models of the disease has been poorly addressed, somewhat disa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::483b33ae1e45cce47390d5e749bb6924
https://pubmed.ncbi.nlm.nih.gov/36302349
https://pubmed.ncbi.nlm.nih.gov/36302349
Autor:
Sedef Kollarik, Carlos G. Moreira, Inês Dias, Dorita Bimbiryte, Djordje Miladinovic, Joachim M. Buhmann, Christian R. Baumann, Daniela Noain
Sleep insufficiency or decreased quality have been associated with Alzheimer’s disease (AD) already in its preclinical stages. Whether such traits are also present in rodent models of the disease has been poorly addressed, somewhat disabling the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bebec4b1d9a84d781e2c17a31d6bedd6
https://doi.org/10.1101/2021.10.25.465747
https://doi.org/10.1101/2021.10.25.465747
Autor:
Stefan Bauer, Malcolm Kohler, Ricards Marcinkevics, Nora Nowak, Pablo Martinez-Lozano Sinues, Martin Osswald, Thomas Gaisl, Renato Zenobi, Steven A. Brown, Joachim M. Buhmann, Djordje Miladinovic
Publikováno v:
Cell Reports, 37 (4)
Sleep is crucial to restore body functions and metabolism across nearly all tissues and cells, and sleep restriction is linked to various metabolic dysfunctions in humans. Using exhaled breath analysis by secondary electrospray ionization high-resolu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45399fa94b4fee8c855621fec267e15b
https://doi.org/10.5167/uzh-208485
https://doi.org/10.5167/uzh-208485
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence
arXiv
arXiv
Knowledge of the importance of input features towards decisions made by machine-learning models is essential to increase our understanding of both the models and the underlying data. Here, we present a new approach to estimating feature importance wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef3b5895a0bc7cd909367ec7c337a52a
http://arxiv.org/abs/1802.02195
http://arxiv.org/abs/1802.02195