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Dr. Sylvia Friese

Name:Dr. Sylvia Friese

Research Interests

Research Interests

  • Tree and forest transducers and automata
  • XML transformations


WS 10: Elements of Engineering Informatics I (Prof. Seidl)

WS 09: Einführung in die Informatik 2 (Prof. Seidl)

SS 09: Grundlagen: Algorithmen und Datenstrukturen (Prof. Seidl)

WS 08: Einführung in die Informatik 2 (Prof. Seidl)
              Vorkurs: Mathematik für Informatiker

WS 07: Diskrete Strukturen (Prof. Westermann)
              Vorkurs: Mathematik für Informatiker

SS 07: Grundlagen: Algorithmen und Datenstrukturen (Prof. Scheideler)

WS 06: Diskrete Strukturen (Prof. Westermann)

Publications of Sylvia Friese


  1. Sylvia Friese. On Normalization and Type Checking for Tree Transducers. PhD thesis, Institut für Informatik, Technische Universität München July 2011.

    Detail: Abstract Download: PDF Reference: Bibtex

Journal Articles

The following articles appeared in peer-reviewed journals. The copyright of these articles lies with the respective journals.

  1. Sylvia Friese, Helmut Seidl and Sebastian Maneth. Earliest Normal Form and Minimization for Bottom-Up Tree Transducers. International Journal of Foundations of Computer Science, 22(7):1607-1623, 2011.

    Detail: Abstract Download: PDF Reference: Bibtex

Conference Papers

The following papers were published in peer-reviewed conferences. The copyright of these papers lies with the respective publishers.

  1. Sebastian Maneth, Sylvia Friese and Helmut Seidl. Type-Checking Tree Walking Transducers. In Deepak D'Souza and Priti Shankar, editors, Modern applications of automata theory, volume 2 of IISc Research Monographs, 2010. To appear. World Scientific.

    Detail: Abstract Download: PDF Reference: Bibtex

  2. Sylvia Friese, Helmut Seidl and Sebastian Maneth. Minimization of Deterministic Bottom-Up Tree Transducers. In Yuan Gao, Hanlin Lu, Shinnosuke Seki and Sheng Yu, editors, Developments in Language Theory, volume 6224 of Lecture Notes in Computer Science, pages 185-196, 2010. Springer.

    Detail: Abstract Download: PDF Reference: Bibtex The original publication is available at www.springerlink.com

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