@misc{KrahThulinFaiersteinetal.2019,
  author    = {Krah, Markus and Thulin, Mirjam and Faierstein, Morris M. and Drori, Danielle and Coors, Maria and Schramm, Netta and Driver, Cory and Holzman, Gitit and Zuckermann, Ghil'ad and Fishbane, Eitan P. and Gruenbaum, Caroline and Schirrmeister, Sebastian and Ferrari, Francesco and Stemberger, G{\"u}nter and Schm{\"o}lz-H{\"a}berlein, Michaela and M{\"u}ller, Judith and Schulz, Michael Karl and Meyer, Thomas and Artwińska, Anna and Walter, Simon},
  title     = {PaRDeS : Zeitschrift der Vereinigung f{\"u}r J{\"u}dische Studien = Transformative Translations in Jewish History and Culture},
  number    = {25},
  editor    = {Krah, Markus and Thulin, Mirjam and Pick, Bianca},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-468-5},
  issn      = {1614-6492},
  doi       = {10.25932/publishup-43262},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-432621},
  pages     = {198},
  year      = {2019},
  abstract  = {PaRDeS, die Zeitschrift der Vereinigung f{\"u}r J{\"u}dische Studien e. V., erforscht die fruchtbare kulturelle Vielfalt des Judentums sowie ihre Ber{\"u}hrungspunkte zur nichtj{\"u}dischen Umwelt in unterschiedlichen Bereichen. Daneben dient die Zeitschrift als Forum zur Positionierung der F{\"a}cher J{\"u}dische Studien und ­Judaistik innerhalb des wissenschaftlichen Diskurses sowie zur Diskussion ihrer historischen und gesellschaftlichen Verantwortung.},
  language  = {en}
}
@article{MullerRatschSonnenburgetal.2005,
  author    = {Muller, K. R. and Ratsch, G. and Sonnenburg, S. and Mika, Sebastian and Grimm, M. and Heinrich, N.},
  title     = {Classifying 'drug-likeness' with kernel-based learning methods},
  issn      = {1549-9596},
  year      = {2005},
  abstract  = {In this article we report about a successful application of modern machine learning technology, namely Support Vector Machines, to the problem of assessing the 'drug-likeness' of a chemical from a given set of descriptors of the Substance. We were able to drastically improve the recent result by Byvatov et al. (2003) on this task and achieved an error rate of about 7\% on unseen compounds using Support Vector Machines. We see a very high potential of such machine learning techniques for a variety of computational chemistry problems that occur in the drug discovery and drug design process},
  language  = {en}
}
@article{WalterRueckertVossetal.2009,
  author    = {Walter, Juliane K. and R{\"u}ckert, Christine and Voss, Martin and M{\"u}ller, Sebastian L. and Piontek, Joerg and Gast, Klaus and Blasig, Ingolf E.},
  title     = {The oligomerization of the coiled coil-domain of occluddin is redox sensitive},
  issn      = {0077-8923},
  doi       = {10.1111/j.1749-6632.2009.04058.x},
  year      = {2009},
  abstract  = {The transmembrane tight junction protein occludin is sensitive to oxidative stress. Occludin oligomerizes; however, its function in the tight junction is unknown. The cytosolic C-terminal tail contains a coiled coil-domain and forms dimers contributing to the oligomerization. The regulation of the oligomerization remains unclear. As the domain area contains sulfhydryl residues, we tested the hypothesis that the dimerization of the coiled coil-domain depends on these residues. We showed that the dimerization is modulated by the thiol concentration in the low-millimolar range, which is relevant both for physiological and pathophysiological conditions. Masking the sulfhydryl residues in the fragment by covalent binding of 4-vinyl pyridine prevented the dimerization but did not affect its helical structure and cylindric shape. The data demonstrate, for the first time, that disulfide bridge formation of murine cystein 408 is involved in the dimerization. This process is redox-sensitive but the secondary structure of the domain is not. It is concluded that the dimerization of occludin may play a regulatory role in the tight junction assembly under physiological and pathological conditions.},
  language  = {en}
}
@article{FabianKunzKonnegenetal.2012,
  author    = {Fabian, Benjamin and Kunz, Steffen and Konnegen, Marcel and M{\"u}ller, Sebastian and G{\"u}nther, Oliver},
  title     = {Access control for semantic data federations in industrial product-lifecycle management},
  series = {Computers in industry : an international, application oriented research journal},
  volume    = {63},
  journal   = {Computers in industry : an international, application oriented research journal},
  number    = {9},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0166-3615},
  doi       = {10.1016/j.compind.2012.08.015},
  pages     = {930 -- 940},
  year      = {2012},
  abstract  = {Information integration across company borders becomes increasingly important for the success of product lifecycle management in industry and complex supply chains. Semantic technologies are about to play a crucial role in this integrative process. However, cross-company data exchange requires mechanisms to enable fine-grained access control definition and enforcement, preventing unauthorized leakage of confidential data across company borders. Currently available semantic repositories are not sufficiently equipped to satisfy this important requirement. This paper presents an infrastructure for controlled sharing of semantic data between cooperating business partners. First, we motivate the need for access control in semantic data federations by a case study in the industrial service sector. Furthermore, we present an architecture for controlling access to semantic repositories that is based on our newly developed SemForce security service. Finally, we show the practical feasibility of this architecture by an implementation and several performance experiments.},
  language  = {en}
}
@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{RaetschSchoelkopfSmolaetal.2000,
  author    = {R{\"a}tsch, Gunnar and Sch{\"o}lkopf, B. and Smola, Alexander J. and Mika, Sebastian and Onoda, T. and M{\"u}ller, Klaus-Robert},
  title     = {Robust ensemble learning},
  isbn      = {0-262-19448-1},
  year      = {2000},
  language  = {en}
}
@book{RaetschSchoelkopfMikaetal.2000,
  author    = {R{\"a}tsch, Gunnar and Sch{\"o}lkopf, B. and Mika, Sebastian and M{\"u}ller, Klaus-Robert},
  title     = {SVM and boosting : one class},
  series = {GMD-Report},
  volume    = {119},
  journal   = {GMD-Report},
  publisher = {GMD-Forschungszentrum Informationstechnik},
  address   = {Sankt Augustin},
  pages     = {36 S.},
  year      = {2000},
  language  = {en}
}
@article{RaetschSchoelkopfSmolaetal.2000,
  author    = {R{\"a}tsch, Gunnar and Sch{\"o}lkopf, B. and Smola, Alexander J. and M{\"u}ller, Klaus-Robert and Mika, Sebastian},
  title     = {V-Arc : ensemble learning in the preence of outliers},
  year      = {2000},
  language  = {en}
}
@article{MikaRaetschWestonetal.2000,
  author    = {Mika, Sebastian and R{\"a}tsch, Gunnar and Weston, J. and Sch{\"o}lkopf, B. and Smola, Alexander J. and M{\"u}ller, Klaus-Robert},
  title     = {Invariant feature extraction and classification in kernel spaces},
  year      = {2000},
  language  = {en}
}
@article{RaetschSchoelkopfSmolaetal.2000,
  author    = {R{\"a}tsch, Gunnar and Sch{\"o}lkopf, B. and Smola, Alexander J. and Mika, Sebastian and Onoda, T. and M{\"u}ller, Klaus-Robert},
  title     = {Robust ensemble learning for data analysis},
  year      = {2000},
  language  = {en}
}