Ingo Mierswa

	2009
21		Ingo Mierswa: Rapid Miner. KI 23(2): 62-63 (2009)
	2008
20		Christian Bockermann, Ingo Mierswa, Katharina Morik: On the Automated Creation of Understandable Positive Security Models for Web Applications. LWA 2008: 12-17
19		Christian Bockermann, Ingo Mierswa, Katharina Morik: On the Automated Creation of Understandable Positive Security Models for Web Applications. PerCom 2008: 554-559
18		Ingo Mierswa, Katharina Morik: About the non-convex optimization problem induced by non-positive semidefinite kernel learning. Adv. Data Analysis and Classification 2(3): 241-258 (2008)
	2007
17		Ingo Mierswa: Controlling overfitting with multi-objective support vector machines. GECCO 2007: 1830-1837
16		Alexander Hinneburg, Ralf Klinkenberg, Ingo Mierswa, Stefan Posch, Steffen Neumann: Workshop on Knowledge Discovery, Data Mining, and Machine Learning and Workshop on Bioinformatics. LWA 2007: 12
15		Ingo Mierswa: Regularization through Multi-Objective Optimization. LWA 2007: 94-101
	2006
14		Michael Wurst, Katharina Morik, Ingo Mierswa: Localized Alternative Cluster Ensembles for Collaborative Structuring. ECML 2006: 485-496
13		Ingo Mierswa, Michael Wurst: Information preserving multi-objective feature selection for unsupervised learning. GECCO 2006: 1545-1552
12		Ingo Mierswa: Evolutionary learning with kernels: a generic solution for large margin problems. GECCO 2006: 1553-1560
11		Fabian Mörchen, Ingo Mierswa, Alfred Ultsch: Understandable models Of music collections based on exhaustive feature generation with temporal statistics. KDD 2006: 882-891
10		Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Martin Scholz, Timm Euler: YALE: rapid prototyping for complex data mining tasks. KDD 2006: 935-940
9		Ingo Mierswa, Michael Wurst: Sound Multi-objective Feature Space Transformation for Clustering. LWA 2006: 330-337
	2005
8		Ingo Mierswa, Michael Wurst: Efficient Case Based Feature Construction. ECML 2005: 641-648
7		Ingo Mierswa: Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants. GECCO 2005: 1985-1992
6		Ingo Mierswa, Katharina Morik: Method trees: building blocks for self-organizable representations of value series: how to evolve representations for classifying audio data. GECCO Workshops 2005: 293-300
5		Helge Homburg, Ingo Mierswa, Bülent Möller, Katharina Morik, Michael Wurst: A Benchmark Dataset for Audio Classification and Clustering. ISMIR 2005: 528-531
4		Ingo Mierswa, Katharina Morik: Merkmalsextraktion aus Audiodaten Evolutionäre Aufzucht von Methodenbäumen. Informatik Spektrum 28(5): 381-388 (2005)
3		Ingo Mierswa, Katharina Morik: Automatic Feature Extraction for Classifying Audio Data. Machine Learning 58(2-3): 127-149 (2005)
	2004
2		Ingo Mierswa: Automatic Feature Extraction from Large Time Series. GfKl 2004: 600-607
1		Ingo Mierswa: Automatic Feature Extraction from Large Time Series. LWA 2004: 187-192

Coauthor Index

1	Christian Bockermann	[19] [20]
2	Timm Euler	[10]
3	Alexander Hinneburg	[16]
4	Helge Homburg	[5]
5	Ralf Klinkenberg	[10] [16]
6	Bülent Möller	[5]
7	Fabian Mörchen	[11]
8	Katharina Morik	[3] [4] [5] [6] [14] [18] [19] [20]
9	Steffen Neumann	[16]
10	Stefan Posch	[16]
11	Martin Scholz	[10]
12	Alfred Ultsch	[11]
13	Michael Wurst	[5] [8] [9] [10] [13] [14]

Colors in the list of coauthors