Ute Schmid

Ute Schmid, Michael Siebers, Dominik Seuß, Miriam Kunz, Stefan Lautenbacher: Applying Grammar Inference To Identify Generalized Patterns of Facial Expressions of Pain. Journal of Machine Learning Research - Proceedings Track 21: 183-188 (2012)

Ute Schmid: KI und Informatik. KI 26(1): 1-4 (2012)

Michael Siebers, Ute Schmid: Semi-analytic Natural Number Series Induction. KI 2012: 249-252

Ute Schmid, Marco Ragni, Cleotilde Gonzalez, Joachim Funke: The challenge of complexity for cognitive systems. Cognitive Systems Research 12(3-4): 211-218 (2011)

Ute Schmid, Emanuel Kitzelmann: Inductive rule learning on the knowledge level. Cognitive Systems Research 12(3-4): 237-248 (2011)

Marius Raab, Mark Wernsdorfer, Emanuel Kitzelmann, Ute Schmid: From Sensorimotor Graphs to Rules: An Agent Learns from a Stream of Experience. AGI 2011: 333-339

Christine Barthold, Anton Papst, Thomas Wittenberg, Christian Küblbeck, Stefan Lautenbacher, Ute Schmid, Sven Friedl: Tracking von Gesichtsmimik mit Hilfe von Gitterstrukturen zur Klassifikation von schmerzrelevanten Action Units. Bildverarbeitung für die Medizin 2010: 455-459

Martin Hofmann, Ute Schmid: Data-Driven Detection of Recursive Program Schemes. ECAI 2010: 1063-1064

Michael Siebers, Ute Schmid: Interleaving Forward Backward Feature Selection. KDIR 2010: 454-457

Ute Schmid, Martin Hofmann, Florian Bader, Tilmann Häberle, Thomas Schneider: Incident Mining Using Structural Prototypes. IEA/AIE (2) 2010: 327-336

Pierre Flener, Ute Schmid: Inductive Programming. Encyclopedia of Machine Learning 2010: 537-544

Pierre Flener, Ute Schmid: Programming by Demonstration. Encyclopedia of Machine Learning 2010: 805

Pierre Flener, Ute Schmid: Trace-Based Programming. Encyclopedia of Machine Learning 2010: 989

Ute Schmid, Emanuel Kitzelmann, Rinus Plasmeijer (Eds.): Approaches and Applications of Inductive Programming, Third International Workshop, AAIP 2009, Edinburgh, UK, September 4, 2009. Revised Papers. Lecture Notes in Computer Science 5812, Springer 2010, isbn 978-3-642-11930-9

Ute Schmid, Martin Hofmann, Emanuel Kitzelmann: Inductive Programming. KI 23(2): 38-41 (2009)

Martin Hofmann, Emanuel Kitzelmann, Ute Schmid: Porting IgorII from Maude to Haskell. AAIP 2009: 140-158

Neil Crossley, Emanuel Kitzelmann, Martin Hofmann, Ute Schmid: Evolutionary Programming Guided by Analytically Generated Seeds. IJCCI 2009: 198-203

Pierre Flener, Ute Schmid: An introduction to inductive programming. Artif. Intell. Rev. 29(1): 45-62 (2008)

Ute Schmid: Gasteditorial KI und Kognition. KI 22(1): 4 (2008)

Ute Schmid: Cognition and AI. KI 22(1): 5-7 (2008)

Ute Schmid: Interview with Ken Forbus. KI 22(1): 37-38 (2008)

Ute Schmid: KI und Kognition - Service. KI 22(1): 45 (2008)

Ute Schmid: Editorial. KI 22(2): 1 (2008)

Ute Schmid: KogWis 2008. KI 22(2): 78 (2008)

Martin Hofmann, Emanuel Kitzelmann, Ute Schmid: Analysis and Evaluation of Inductive Programming Systems in a Higher-Order Framework. KI 2008: 78-86

Sven-Eric Schelhorn, Jacqueline Griego, Ute Schmid: Transformational and derivational strategies in analogical problem solving. Cognitive Processing 8(1): 45-55 (2007)

Emanuel Kitzelmann, Ute Schmid: Inducing Constructor Systems from Example-Terms by Detecting Syntactical Regularities. Electr. Notes Theor. Comput. Sci. 174(1): 49-63 (2007)

Martin Hofmann, Andreas Hirschberger, Emanuel Kitzelmann, Ute Schmid: Inductive Synthesis of Recursive Functional Programs. KI 2007: 468-472

Emanuel Kitzelmann, Ute Schmid: Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach. Journal of Machine Learning Research 7: 429-454 (2006)

Helmar Gust, Kai-Uwe Kühnberger, Ute Schmid: Metaphors and heuristic-driven theory projection (HDTP). Theor. Comput. Sci. 354(1): 98-117 (2006)

Stephan Weller, Ute Schmid: Solving Proportional Analogies by E -Generalization. KI 2006: 64-75

Helmar Gust, Kai-Uwe Kühnberger, Ute Schmid: Ontological Aspects of Computing Analogies. ICCM 2004: 350-351

Ute Schmid: Inductive Synthesis of Functional Programs, Universal Planning, Folding of Finite Programs, and Schema Abstraction by Analogical Reasoning. Lecture Notes in Computer Science 2654, Springer 2003, isbn 3-540-40174-1

Ute Schmid: Inductive Synthesis of Functional Programs. KI 17(3): 75- (2003)

Ute Schmid: Mitteilungen der Gesellschaft fuer Kognitionswissenschaft e.V. Kognitionswissenschaft 9(4): 197 (2002)

Emanuel Kitzelmann, Ute Schmid, Martin Mühlpfordt, Fritz Wysotzki: Inductive Synthesis of Functional Programs. AISC 2002: 26-37

Ute Schmid, Marina Müller, Fritz Wysotzki: Integrating Function Application in State-Based Planning. KI 2002: 144-162

Ute Schmid, Fritz Wysotzki: Applying Inductive Program Synthesis to Macro Learning. AIPS 2000: 371-378

Sylvia Wiebrock, Lars Wittenburg, Ute Schmid, Fritz Wysotzki: Inference and Visualization of Spatial Relations. Spatial Cognition 2000: 212-224

Ute Schmid, Fritz Wysotzki: Induction of Recursive Program Schemes. ECML 1998: 214-225

Berry Claus, Klaus Eyferth, Carsten Gips, Robin Hörnig, Ute Schmid, Sylvia Wiebrock, Fritz Wysotzki: Reference Frames for Spatial Inference in Text Understanding. Spatial Cognition 1998: 241-266

Ute Schmid: Programmieren durch analoges Schließen . Kognitionswissenschaft 6(3): 127-134 (1997)

Ute Schmid: Erwerb rekursiver Programmiertechniken als Induktion von Konzepten und Regeln - ein kognitionswissenschaftlicher Zugang zum Erwerb kognitiver Fertigkeiten. DISKI 70, Infix 1994, isbn 978-3-929037-70-8, pp. 1-165