Aleksander Øhrn

According to our database, Aleksander Øhrn authored at least 15 papers between 1997 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

R.ROSETTA: an interpretable machine learning framework.

Mateusz Garbulowski, Klev Diamanti, Karolina Smolinska, Nicholas Baltzer, Patricia Stoll, Susanne Bornelöv, Aleksander Øhrn, Lars Feuk, Jan Komorowski

BMC Bioinform., 2021

2005

Contextual Insight in Search: Enabling Technologies and Applications.

Aleksander Øhrn

Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

2004

Multidimensional Visualization and Navigation in Search Results.

Will Archer Arentz, Aleksander Øhrn

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

2000

Discernibility and Rough Sets in Medicine: Tools and Applications.

Aleksander Øhrn

PhD thesis, 2000

Minimal approximate hitting sets and rule templates.

Staal Amund Vinterbo, Aleksander Øhrn

Int. J. Approx. Reason., 2000

Knowledge Discovery and Data Mining, Volume 1 of IEE Professional Applications of Computing Series, Edited by M.A. Bramer, IEE, London, UK, 1999, ISBN 0-85296-767-5.

Aleksander Øhrn

Artif. Intell. Medicine, 2000

1999

Using Boolean reasoning to anonymize databases.

Aleksander Øhrn, Lucila Ohno-Machado

Artif. Intell. Medicine, 1999

Modelling prognostic power of cardiac tests using rough sets.

Henryk Jan Komorowski, Aleksander Øhrn

Artif. Intell. Medicine, 1999

Diagnosing Acute Appendicitis with Very Simple Classification Rules.

Aleksander Øhrn, Henryk Jan Komorowski

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Clinical Data Processing Tools: A Machine Learning Resource.

Lucila Ohno-Machado, Staal Amund Vinterbo, Aleksander Øhrn, Stephan Dreiseitl

Proceedings of the AMIA 1999, 1999

1998

Some Heuristics for Default Knowledge Discovery.

Tor-Kristian Jenssen, Henryk Jan Komorowski, Aleksander Øhrn

Proceedings of the Rough Sets and Current Trends in Computing, 1998

Comparison of multiple prediction models for ambulation following spinal cord injury.

Todd Rowland, Lucila Ohno-Machado, Aleksander Øhrn

Proceedings of the AMIA 1998, 1998

Building manageable rough set classifiers.

Aleksander Øhrn, Lucila Ohno-Machado, Todd Rowland

Proceedings of the AMIA 1998, 1998

Improving machine learning performance by removing redundant cases in medical data sets.

Lucila Ohno-Machado, Hamish S. F. Fraser, Aleksander Øhrn

Proceedings of the AMIA 1998, 1998

1997

Modelling cardiac patient set residuals using rough sets.

Aleksander Øhrn, Staal Amund Vinterbo, Piotr Szymanski, Jan Komorowski

Proceedings of the AMIA 1997, 1997