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Johannes Fürnkranz ^[1]

Johannes Fürnkranz,
an Austrian mathematician, computer scientist, and AI researcher, since 2004 Professor in knowledge engineering ^[2] at the TU Darmstadt. He holds a Ph.D. in 1997 from Vienna University of Technology under advisor Gerhard Widmer. His research spans various AI-fields, such as machine learning, data mining, and more recently Monte-Carlo tree search. He is editorial board member of various scientific AI-Periodical, such as the Journal of Artificial Intelligence Research (JAIR) ^[3], and is editor-in-chief of the bimonthly Data Mining and Knowledge Discovery journal.

Selected Publications

Johannes Fürnkranz (1996). Machine Learning in Computer Chess: The Next Generation. ICCA Journal, Vol. 19, No. 3, zipped ps
Johannes Fürnkranz (1997). Knowledge Discovery in Chess Databases: A Research Proposal. Technical Report OEFAI-TR-97-33, Austrian Research Institute for Artificial Intelligence, zipped ps, pdf ^[7]
Johannes Fürnkranz (1997). Pruning Algorithms for Rule Learning. Machine Learning, Vol. 27, pdf
Johannes Fürnkranz (1997). Efficient Pruning Methods for Relational Learning. Ph.D. thesis, TU Vienna, advisor Gerhard Widmer
Franz-Günter Winkler, Johannes Fürnkranz (1997). On Effort in AI Research: A Description Along Two Dimensions. Deep Blue versus Kasparov, AAAI Workshop
Franz-Günter Winkler, Johannes Fürnkranz (1998). A Hypothesis on the Divergence of AI Research. ICCA Journal, Vol. 21, No. 1, pdf
Johannes Fürnkranz, Bernhard Pfahringer (1998). Guest Editorial: First-Order Knowledge Discovery in Databases. Applied Artificial Intelligence, Vol. 12, No. 5
Johannes Fürnkranz (1998). Integrative Windowing. arXiv:cs/9805101

Johannes Fürnkranz (2000). Machine Learning in Games: A Survey. Austrian Research Institute for Artificial Intelligence, OEFAI-TR-2000-3, pdf
Johannes Fürnkranz, Bernhard Pfahringer, Hermann Kaindl, Stefan Kramer (2000). Learning to Use Operational Advice. ECAI-00, pdf
Johannes Fürnkranz, Miroslav Kubat (eds.) (2001). Machines that Learn to Play Games. Advances in Computation: Theory and Practice, Vol. 8,. NOVA Science Publishers
Michael Bowling, Johannes Fürnkranz, Thore Graepel, Ron Musick (2006). Machine learning and Games. Machine Learning, Vol. 63, No. 3
Johannes Fürnkranz (2007). Recent advances in machine learning and game playing. ÖGAI Journal, Vol. 26, No. 2, Computer Game Playing, pdf
Sacha Droste, Johannes Fürnkranz (2008). Learning of Piece Values for Chess Variants. Technical Report TUD–KE–2008-07, Knowledge Engineering Group, TU Darmstadt, pdf ^[8]
Sacha Droste, Johannes Fürnkranz (2008). Learning the Piece Values for three Chess Variants. ICGA Journal, Vol. 31, No. 4

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 * [[Sacha Droste]], [[Johannes Fürnkranz]] ('''2008'''). ''Learning the Piece Values for three Chess Variants''.  [[ICGA Journal#31_4|ICGA Journal, Vol. 31, No. 4]]
 ==2010 ...==
+* [[Johannes Fürnkranz]], [https://de.wikipedia.org/wiki/Eyke_H%C3%BCllermeier Eyke Hullermeier] (eds.) ('''2010'''). ''[https://link.springer.com/book/10.1007/978-3-642-14125-6 Preference Learning]''. [https://en.wikipedia.org/wiki/Springer_Science%2BBusiness_Media Springer]
 * [[Christian Wirth]], [[Johannes Fürnkranz]] ('''2015'''). ''[http://ieeexplore.ieee.org/document/6861960/ On Learning From Game Annotations]''. [[IEEE#TOCIAIGAMES|IEEE Transactions on Computational Intelligence and AI in Games]], Vol. 7, No. 3
 * [[Johannes Fürnkranz]] ('''2017'''). ''Machine Learning and Game Playing''. in [https://en.wikipedia.org/wiki/Claude_Sammut Claude Sammut], [https://en.wikipedia.org/wiki/Geoff_Webb Geoffrey I. Webb] (eds) ('''2017'''). ''[https://link.springer.com/referencework/10.1007%2F978-1-4899-7687-1 Encyclopedia of Machine Learning and Data Mining]''. [https://en.wikipedia.org/wiki/Springer_Science%2BBusiness_Media Springer], [https://en.wikipedia.org/wiki/Boston Boston, MA]