@article{25631, author = {{Moritzer, Elmar and Hillemeyer, Johannes}}, issn = {{1864-3450}}, journal = {{Joining Plastics}}, pages = {{40--46}}, title = {{{Experimental Investigations Into the Dimensioning of the Static Pull-Out Strength of the Screw Blind Rivet}}}, year = {{2019}}, } @article{25633, author = {{Schöppner, Volker and Resonnek, V.}}, issn = {{0023-5563}}, journal = {{Kunstsstoffe}}, pages = {{56--61}}, title = {{{Extruder optimier dich!}}}, year = {{2019}}, } @inproceedings{25634, author = {{Schöppner, Volker}}, booktitle = {{VDI Wissensforum - Schweißen von Kunststoffen}}, location = {{Paderborn (Deutschland)}}, title = {{{Grundlagen der Haftung in der Grenzfläche beim Kunststoffschweißprozess}}}, year = {{2019}}, } @article{25635, author = {{Moritzer, Elmar and Wortmann, M. and Frese, N. and Hes, L. and Golzhauser, A. and Ehrmann, A.}}, journal = {{JOURNAL OF INDUSTRIAL TEXTILES}}, number = {{49}}, pages = {{572--583}}, title = {{{Improved abrasion resistance of textile fabrics due to polymer coatings}}}, year = {{2019}}, } @inproceedings{25636, author = {{Moritzer, Elmar and Netzband, Dennis and Ujma, Andreas }}, booktitle = {{23rd International Congress on Acoustics}}, location = {{Aachen (Deutschland)}}, title = {{{Influences on structural intensity for injection mouldet thermoplastic parts}}}, year = {{2019}}, } @article{25637, author = {{Moritzer, Elmar and Mühlhoff, Frederik Marvin and Nordmeyer, T. and Böhnke, B. and Krampe, E. and Asad, S.}}, issn = {{1618-8357}}, journal = {{Wissenschaftlicher Arbeitskreis der Universitäts-Professoren der Kunststofftechnik}}, pages = {{54 -- 59}}, title = {{{Inline-Oberflächenaktivierung mittels Plasma für das 2K-Spritzgießen}}}, year = {{2019}}, } @book{19466, author = {{Seng, Eva- Maria}}, publisher = {{Deutscher Kunstverlag}}, title = {{{Städtebau 1800 bis 2010}}}, year = {{2019}}, } @article{19504, author = {{Dong, Chuan-Ding and Schumacher, Stefan}}, issn = {{1932-7447}}, journal = {{The Journal of Physical Chemistry C}}, keywords = {{pc2-ressources}}, pages = {{30863--30870}}, title = {{{Molecular Doping of PCPDT–BT Copolymers: Comparison of Molecular Complexes with and without Integer Charge Transfer}}}, doi = {{10.1021/acs.jpcc.9b09970}}, year = {{2019}}, } @article{19513, author = {{Ma, Xuekai and Kartashov, Yaroslav Y and Gao, Tingge and Schumacher, Stefan}}, issn = {{1367-2630}}, journal = {{New Journal of Physics}}, keywords = {{pc2-ressources}}, title = {{{Controllable high-speed polariton waves in a PT-symmetric lattice}}}, doi = {{10.1088/1367-2630/ab5a9b}}, year = {{2019}}, } @unpublished{19523, abstract = {{We study the problem of learning choice functions, which play an important role in various domains of application, most notably in the field of economics. Formally, a choice function is a mapping from sets to sets: Given a set of choice alternatives as input, a choice function identifies a subset of most preferred elements. Learning choice functions from suitable training data comes with a number of challenges. For example, the sets provided as input and the subsets produced as output can be of any size. Moreover, since the order in which alternatives are presented is irrelevant, a choice function should be symmetric. Perhaps most importantly, choice functions are naturally context-dependent, in the sense that the preference in favor of an alternative may depend on what other options are available. We formalize the problem of learning choice functions and present two general approaches based on two representations of context-dependent utility functions. Both approaches are instantiated by means of appropriate neural network architectures, and their performance is demonstrated on suitable benchmark tasks.}}, author = {{Pfannschmidt, Karlson and Gupta, Pritha and Hüllermeier, Eyke}}, booktitle = {{arXiv:1901.10860}}, title = {{{Learning Choice Functions: Concepts and Architectures}}}, year = {{2019}}, }