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  1.  20
    Augmenting tractable fragments of abstract argumentation.Wolfgang Dvořák,Sebastian Ordyniak &Stefan Szeider -2012 -Artificial Intelligence 186 (C):157-173.
  2.  15
    Computing optimal hypertree decompositions with SAT.André Schidler &Stefan Szeider -2023 -Artificial Intelligence 325 (C):104015.
  3.  11
    Backdoors to tractable answer set programming.Johannes Klaus Fichte &Stefan Szeider -2015 -Artificial Intelligence 220 (C):64-103.
  4.  12
    Algorithms and complexity results for persuasive argumentation.Eun Jung Kim,Sebastian Ordyniak &Stefan Szeider -2011 -Artificial Intelligence 175 (9-10):1722-1736.
  5.  20
    New width parameters for SAT and #SAT.Robert Ganian &Stefan Szeider -2021 -Artificial Intelligence 295 (C):103460.
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  6.  17
    Guarantees and limits of preprocessing in constraint satisfaction and reasoning.Serge Gaspers &Stefan Szeider -2014 -Artificial Intelligence 216 (C):1-19.
  7.  15
    Theory and applications of satisfiability testing-- SAT 2010: 13th international conference, SAT 2010 Edinburgh, UK, July 2010: proceedings.Ofer Strichman &Stefan Szeider (eds.) -2010 - Berlin: Springer.
    The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form.
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