Die Mitarbeiter von Insota sind auch in der Forschung aktiv. Unsere Forschungsschwerpunkte liegen in den Fachgebieten Intelligente Datenanalyse, Data Mining, Machine Learning und Artificial Intelligence.
Im Folgenden finden Sie einen Auszug aus unseren Publikationen in renommierten wissenschaftlichen Journalen und bei internationalen Konferenzen.
Tobudic A., Widmer G.:
Relational IBL in Classical Music,
Machine Learning, 64:5-24, 2006.
Tobudic A., Widmer G.:
Learning to Play Like the Great Pianists,
in Kaelbling L.P. and Saffiotti A.(eds.), Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05), Edinburgh, Scotland, July 30-August 5, 2005, International Joint Conferences on Artificial Intelligence, pp.871-876, 2005.
Tobudic A., Widmer G.:
Relational IBL in Music with a New Structural Similarity Measure,
Proceedings of the 13th International Conference on Inductive Logic Programming (ILP 2003), Springer Verlag, Berlin, 2003.
Widmer G., Dixon S., Goebl W., Pampalk E., Tobudic A.:
In Search of the Horowitz Factor,
AI Magazine, 24(3), 111-130, 2003.
Madsen, S. T. and Widmer, G.:
Exploring Pianist Performance Styles with Evolutionary String Matching,
International Journal on Artificial Intelligence Tools, 15(4): 495-513 (Special Issue on Artificial Intelligence in Music and Art). World Scientific Publishing Company, 2006.
Madsen, S. T. and Widmer, G.:
Towards a Computational Model of Melody Identification in Polyphonic Music,
Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007), Hyderabad, India, 6-12 January 2007.
Madsen, S. T. and Widmer, G.:
Evolutionary Search for Musical Parallelism,
Applications of Evolutionary Computing, proceedings of the EvoWorkshops 2005, LNCS 3449 p. 488-497, Lausanne, Switzerland, 30 March - 1 April 2005. Springer Verlag.
Tobudic A., Widmer G.:
Case-based Relational Learning of Expressive Phrasing in Classical Music,
Proceedings of the 7th European Conference on Case-based Reasoning (ECCBR'04), Madrid, Spain, 2004.
Tobudic A., Widmer G.:
Learning to Play Mozart: Recent Improvements,
Proceedings of the IJCAI'03 Workshop on Methods for Automatic Music Performance and their Applications in a Public Rendering Contest, 18th Joint International Conference on Artificial Intelligence (IJCAI'03), Acapulco, Mexico, 2003.
Tobudic A., Widmer G.:
Playing Mozart Phrase by Phrase,
Proceedings of the 5th International Conference on Case-based Reasoning (ICCBR'03), Trondheim, Norway, 2003.
Widmer G., Dixon S., Flexer A., Goebl W., Knees P., Madsen S.T., Pampalk E., Pohle T., Schedl M., Tobudic A.:
The Machine Learning and Intelligent Music Processing Group at the Austrian Research Institute for Artificial Intelligence (OFAI), Vienna,
Proceedings of the 2005 International Computer Music Conference (ICMC2005), Barcelona, 169-172, 2005.
Widmer G., Tobudic A.:
Playing Mozart by Analogy: Learning Multi-level Timing and Dynamics Strategies,
Proceedings of the ICAD Workshop on Performance Rendering Systems, 8th International Conference on Auditory Display (ICAD'2002), Kyoto, Japan, 2002.
Widmer G., Dixon S., Goebl W., Stamatatos E., Tobudic A.:
Empirical Music Performance Research: OeFAI's Position,
MOSART Workshop on Current Research Directions in Computer Music, Audiovisual Institute, Pompeu Fabra University, Barcelona, Spain, 2001.
Widmer G., Tobudic A.:
Playing Mozart by Analogy: Learning Multi-level Timing and Dynamics Strategies,
Journal of New Music Research, 32(3), 259-268, 2003.
Madsen, S. T. and Widmer, G.:
Separating Voices in MIDI,
Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR 2006), Victoria, Canada, 8-12 October 2006.
Madsen, S. T., Typke, R. and Widmer, G.:
Automatic Reduction of MIDI Files Preserving Relevant Musical Content,
Proceedings of the 6th International Workshop on Adaptive Multimedia Retrieval (AMR'08), Berlin, June 2008.
Madsen, S. T. and Widmer, G.:
A Complexity-based Approach to Melody Track Identification in MIDI Files,
Proceedings of the International Workshop on Artificial Intelligence and Music (MUSIC-AI 2007) held in conjunction with the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007), Hyderabad, India, 6-12 January 2007.
Madsen, S. T. and Widmer, G.:
Exploring similarities in Music Performances with an Evolutionary Algorithm,
Proceedings of the 18th International FLAIRS Conference, Clearwater Beach, Florida, May 16-18, 2005. AAAI Press.
Madsen, S. T. and Widmer, G.:
Music complexity measures predicting the listening experience,
Proceedings of the 9th International Conference on Music Perception and Cognition, Bologna, August 22-26, 2006.
de Lima E. T., Madsen S.T., Dahia M., Widmer G., Ramalho G.:
Extracting Patterns from Guitar Accompaniment Data: Some Experimental Results,
Proceedings of the 10th Brazilian Symposium on Computer Music (SBCM 2005), Belo Horizonte, Brazil, 2005.
