@article{ZienRaetschMikaetal.2000,
  author    = {Zien, Alexander and R{\"a}tsch, Gunnar and Mika, Sebastian and Sch{\"o}lkopf, Bernhard and Lengauer, Thomas and M{\"u}ller, Klaus-Robert},
  title     = {Engineering support vector machine kernels that recognize translation initiation sites},
  issn      = {1367-4803},
  year      = {2000},
  language  = {en}
}
@article{ZieheMuellerNolteetal.2000,
  author    = {Ziehe, Andreas and M{\"u}ller, Klaus-Robert and Nolte, G. and Mackert, B.-M. and Curio, Gabriel},
  title     = {Artifact reduction in magnetoneurography based on time-delayed second-order correlations},
  year      = {2000},
  language  = {en}
}
@article{ZieheKawanabeHarmeling2004,
  author    = {Ziehe, Andreas and Kawanabe, Motoaki and Harmeling, Stefan},
  title     = {Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation},
  issn      = {1532-4435},
  year      = {2004},
  abstract  = {We propose two methods that reduce the post-nonlinear blind source separation problem (PNL-BSS) to a linear BSS problem. The first method is based on the concept of maximal correlation: we apply the alternating conditional expectation (ACE) algorithm-a powerful technique from nonparametric statistics-to approximately invert the componentwise nonlinear functions. The second method is a Gaussianizing transformation, which is motivated by the fact that linearly mixed signals before nonlinear transformation are approximately Gaussian distributed. This heuristic, but simple and efficient procedure works as good as the ACE method. Using the framework provided by ACE, convergence can be proven. The optimal transformations obtained by ACE coincide with the sought-after inverse functions of the nonlinearitics. After equalizing the nonlinearities, temporal decorrelation separation (TDSEP) allows us to recover the source signals. Numerical simulations testing "ACE-TD" and "Gauss-TD" on realistic examples are performed with excellent results},
  language  = {en}
}
@phdthesis{Ziehe2005,
  author    = {Ziehe, Andreas},
  title     = {Blind source separation based on joint diagonalization of matrices with applications in biomedical signal processing},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-5694},
  school      = {Universit{\"a}t Potsdam},
  year      = {2005},
  abstract  = {This thesis is concerned with the solution of the blind source separation problem (BSS). The BSS problem occurs frequently in various scientific and technical applications. In essence, it consists in separating meaningful underlying components out of a mixture of a multitude of superimposed signals. In the recent research literature there are two related approaches to the BSS problem: The first is known as Independent Component Analysis (ICA), where the goal is to transform the data such that the components become as independent as possible. The second is based on the notion of diagonality of certain characteristic matrices derived from the data. Here the goal is to transform the matrices such that they become as diagonal as possible. In this thesis we study the latter method of approximate joint diagonalization (AJD) to achieve a solution of the BSS problem. After an introduction to the general setting, the thesis provides an overview on particular choices for the set of target matrices that can be used for BSS by joint diagonalization. As the main contribution of the thesis, new algorithms for approximate joint diagonalization of several matrices with non-orthogonal transformations are developed. These newly developed algorithms will be tested on synthetic benchmark datasets and compared to other previous diagonalization algorithms. Applications of the BSS methods to biomedical signal processing are discussed and exemplified with real-life data sets of multi-channel biomagnetic recordings.},
  subject      = {Signaltrennung},
  language  = {en}
}
@phdthesis{Zhou2008,
  author    = {Zhou, Wei},
  title     = {Access control model and policies for collaborative environments},
  address   = {Potsdam},
  pages     = {199 S. : graph. Darst.},
  year      = {2008},
  language  = {en}
}
@article{ZenderMetzlerLucke2014,
  author    = {Zender, Raphael and Metzler, Richard and Lucke, Ulrike},
  title     = {FreshUP-A pervasive educational game for freshmen},
  series = {Pervasive and mobile computing},
  volume    = {14},
  journal   = {Pervasive and mobile computing},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1574-1192},
  doi       = {10.1016/j.pmcj.2013.09.003},
  pages     = {47 -- 56},
  year      = {2014},
  abstract  = {Students beginning their studies at university face manifold problems such as orientation in a new environment and organizing their courses. This article presents the implementation and successful empirical evaluation of the pervasive browser-based educational game "FreshUP", which aims at helping to overcome the initial difficulties of freshmen. In contrast to a conventional scavenger hunt, mobile pervasive games like FreshUP, bridging in-game and real world activities, have the potential to provide help in a motivating manner using new technology which is currently becoming more and more common. (C) 2013 Elsevier B.V. All rights reserved.},
  language  = {en}
}
@phdthesis{Zarezadeh2012,
  author    = {Zarezadeh, Aliakbar},
  title     = {Distributed smart cameras : architecture and communication protocols},
  address   = {Potsdam},
  pages     = {135 S.},
  year      = {2012},
  language  = {en}
}
@phdthesis{Yang2013,
  author    = {Yang, Haojin},
  title     = {Automatic video indexing and retrieval using video ocr technology},
  address   = {Potsdam},
  pages     = {182 S.},
  year      = {2013},
  language  = {en}
}
@misc{XenikoudakisAhmedHarrisetal.2020,
  author    = {Xenikoudakis, Georgios and Ahmed, Mayeesha and Harris, Jacob Colt and Wadleigh, Rachel and Paijmans, Johanna L. A. and Hartmann, Stefanie and Barlow, Axel and Lerner, Heather and Hofreiter, Michael},
  title     = {Ancient DNA reveals twenty million years of aquatic life in beavers},
  series = {Current biology : CB},
  volume    = {30},
  journal   = {Current biology : CB},
  number    = {3},
  publisher = {Current Biology Ltd.},
  address   = {London},
  issn      = {0960-9822},
  doi       = {10.1016/j.cub.2019.12.041},
  pages     = {R110 -- R111},
  year      = {2020},
  abstract  = {Xenikoudakis et al. report a partial mitochondrial genome of the extinct giant beaver Castoroides and estimate the origin of aquatic behavior in beavers to approximately 20 million years. This time estimate coincides with the extinction of terrestrial beavers and raises the question whether the two events had a common cause.},
  language  = {en}
}
@article{WuebbelerZieheMackertetal.2000,
  author    = {W{\"u}bbeler, G. and Ziehe, Andreas and Mackert, B.-M. and M{\"u}ller, Klaus-Robert and Trahms, L. and Curio, Gabriel},
  title     = {Independent component analysis of noninvasively recorded cortical magnetic DC-fields in humans},
  year      = {2000},
  language  = {en}
}