TY - JOUR A1 - Schwabedal, Justus T. C. A1 - Sippel, Daniel A1 - Brandt, Moritz D. A1 - Bialonski, Stephan T1 - Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning N2 - Sleep scoring is a necessary and time-consuming task in sleep studies. In animal models (such as mice) or in humans, automating this tedious process promises to facilitate long-term studies and to promote sleep biology as a data-driven f ield. We introduce a deep neural network model that is able to predict different states of consciousness (Wake, Non-REM, REM) in mice from EEG and EMG recordings with excellent scoring results for out-of-sample data. Predictions are made on epochs of 4 seconds length, and epochs are classified as artifactfree or not. The model architecture draws on recent advances in deep learning and in convolutional neural networks research. In contrast to previous approaches towards automated sleep scoring, our model does not rely on manually defined features of the data but learns predictive features automatically. We expect deep learning models like ours to become widely applied in different fields, automating many repetitive cognitive tasks that were previously difficult to tackle. Y1 - 2018 U6 - https://doi.org/10.48550/arXiv.1809.08443 ER - TY - JOUR A1 - Grotendorst, Johannes A1 - Scott, Tony C. A1 - Aubert-Frécon, Monique A1 - Hadinger, Gisèle T1 - Asymptotically exact calculation of the exchange energies of one-active-electron diatomic ions with the surface integral method / Scott, Tony C. ; Aubert-Frécon, Monique ; Hadinger, Gisèle ; Andrae, Dirk ; Grotendorst, Johannes ; Morgan Ill, John D. JF - Journal of Physics B: Atomic, Molecular and Optival Physics. 37 (2004), H. 22 Y1 - 2004 SN - 0953-4075 SP - 4451 EP - 4469 ER - TY - JOUR A1 - Dikta, Gerhard T1 - Asymptotically efficient estimation under semi-parametric random censorship models JF - Journal of multivariate analysis N2 - We study the estimation of some linear functionals which are based on an unknown lifetime distribution. The observations are assumed to be generated under the semi-parametric random censorship model (SRCM), that is, a random censorship model where the conditional expectation of the censoring indicator given the observation belongs to a parametric family. Under this setup a semi-parametric estimator of the survival function was introduced by the author. If the parametric model assumption is correct, it is known that the estimated functional which is based on this semi-parametric estimator is asymptotically at least as efficient as the corresponding one which rests on the nonparametric Kaplan–Meier estimator. In this paper we show that the estimated functional which is based on this semi-parametric estimator is asymptotically efficient with respect to the class of all regular estimators under this semi-parametric model. Y1 - 2014 U6 - https://doi.org/10.1016/j.jmva.2013.10.002 SN - 1095-7243 (E-Journal); 0047-259X (Print) VL - 124 SP - 10 EP - 24 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Dikta, Gerhard A1 - Kühlheim, René A1 - Mendonca, Jorge A1 - Una-Alcarez, Jacobo de T1 - Asymptotic representation of presmoothed Kaplan–Meier integrals with covariates in a semiparametric censorship model JF - Journal of Statistical Planning and Inference Y1 - 2015 U6 - https://doi.org/10.1016/j.jspi.2015.12.001 SN - 0378-3758 VL - Vol. 171 SP - 10 EP - 37 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Dikta, Gerhard T1 - Asymptotic Normality Under the Koziol-Green Model JF - Communications in Statistics: Theory and Methods. 24 (1995), H. 6 Y1 - 1995 SN - 0361-0926 SP - 1537 EP - 1549 ER - TY - JOUR A1 - Bialonski, Stephan A1 - Lehnertz, Klaus T1 - Assortative mixing in functional brain networks during epileptic seizures JF - Chaos: An Interdisciplinary Journal of Nonlinear Science Y1 - 2013 U6 - https://doi.org/10.1063/1.4821915 VL - 23 IS - 3 SP - 033139 ER - TY - JOUR A1 - Siqueira, José R. Jr. A1 - Bäcker, Matthias A1 - Poghossian, Arshak A1 - Zucolotto, Valtencir A1 - Oliveira, Osvaldo N. Jr. A1 - Schöning, Michael Josef T1 - Associating biosensing properties with the morphological structure of multilayers containing carbon nanotubes on field-effect devices JF - Physica status solidi (a). 207 (2010), H. 4 Y1 - 2010 SN - 1862-6300 N1 - Special Issue: Engineering of Functional Interfaces EnFI 2009 SP - 781 EP - 786 ER - TY - JOUR A1 - Albracht, Kirsten A1 - Arampatzis, A. A1 - Baltzopoulos, V. T1 - Assessment of muscle volume and physiological cross-sectional area of the human triceps surae muscle in vivo JF - Journal of Biomechanics Y1 - 2008 U6 - https://doi.org/10.1016/j.jbiomech.2008.04.020 SN - 0021-9290 VL - 41 SP - 2211 EP - 2218 ER - TY - JOUR A1 - Bogoyavlenskiy, A. P. A1 - Digel, Ilya A1 - Berezin, V. E. T1 - Assessment of dot-blot ELISA sensitivity on membrane sorbent using various peroxidase substrates N2 - The sensitivity of the peroxidase reaction in dot-blot ELISA significantly depends on the substrate. The highest sensitivity is observed using benzidine and diamine- phenol combinations as the substrates due to the reaction of the coupled oxidation (NADI) KW - Enzyme-linked immunosorbent assay KW - Peroxidase KW - ELISA KW - phenols KW - naphtols KW - aromatic amines Y1 - 1997 ER - TY - THES A1 - Engelmann, Ulrich M. T1 - Assessing magnetic fluid hyperthermia : magnetic relaxation simulation, modeling of nanoparticle uptake inside pancreatic tumor cells and in vitro efficacy Y1 - 2019 SN - 978-3-945954-58-4 N1 - Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2019 PB - Infinite Science Publishing CY - Lübeck ER -