Martin Holena

	2011
24		Martin Holena, David Linke, Lukás Bajer: Case study: constraint handling in evolutionary optimization of catalytic materials. GECCO (Companion) 2011: 333-340
	2010
23		Martin Holena, David Linke, Uwe Rodemerck, Lukás Bajer: Neural Networks as Surrogate Models for Measurements in Optimization Algorithms. ASMTA 2010: 351-366
22		Lukás Bajer, Martin Holena: Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks. IDEAL 2010: 251-258
21		David Stefka, Martin Holena: Dynamic classifier aggregation using fuzzy integral with interaction-sensitive fuzzy measure. ISDA 2010: 225-230
20		Martin Holena: Two ways of using artificial neural networks in knowledge discovery from chemical materials data. ITAT 2010: 17-24
19		Martin Holena, David Linke, Uwe Rodemerck: Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning. SEAL 2010: 220-229
18		Petr Hájek, Martin Holena, Jan Rauch: The GUHA method and its meaning for data mining. J. Comput. Syst. Sci. 76(1): 34-48 (2010)
	2009
17		David Stefka, Martin Holena: Classifier Aggregation using Local Classification Confidence. ICAART 2009: 173-178
16		David Stefka, Martin Holena: Dynamic Classifier Systems and Their Applications to Random Forest Ensembles. ICANNGA 2009: 458-468
15		Martin Holena, David Linke, Norbert Steinfeldt: Boosted Neural Networks in Evolutionary Computation. ICONIP (2) 2009: 131-140
14		Martin Holena: Boosted Surrogate Models in Evolutionary Optimization. ITAT 2009: 15-22
13		Martin Holena: Measures of ruleset quality for general rules extraction methods. Int. J. Approx. Reasoning 50(6): 867-879 (2009)
	2007
12		Martin Holena: Measures of Ruleset Quality Capable to Represent Uncertain Validity. ECSQARU 2007: 430-442
11		David Stefka, Martin Holena: The Use of Fuzzy t-Conorm Integral for Combining Classifiers. ECSQARU 2007: 755-766
	2006
10		Martin Holena: Piecewise-Linear Neural Networks and Their Relationship to Rule Extraction from Data. Neural Computation 18(11): 2813-2853 (2006)
	2004
9		Martin Holena: Fuzzy hypotheses testing in the framework of fuzzy logic. Fuzzy Sets and Systems 145(2): 229-252 (2004)
8		James N. Cawse, Manfred Baerns, Martin Holena: Efficient Discovery of Nonlinear Dependencies in a Combinatorial Catalyst Data Set. Journal of Chemical Information and Modeling 44(1): 143-146 (2004)
	2003
7		Petr Hájek, Martin Holena, Jan Rauch: The GUHA Method and Foundations of (Relational) Data Mining. Theory and Applications of Relational Structures as Knowledge Instruments 2003: 17-37
6		Petr Hájek, Martin Holena: Formal logics of discovery and hypothesis formation by machine. Theor. Comput. Sci. 292(2): 345-357 (2003)
	2002
5		Martin Holena: Extraction of Logical Rules from Data by Means of Piecewise-Linear Neural Networks. Discovery Science 2002: 192-205
	2000
4		Martin Holena: Observational Logic Integrates Data Mining Based on Statistics and Neural Networks. PKDD 2000: 440-445
	1998
3		Petr Hájek, Martin Holena: Formal Logics of Discovery and Hypothesis Formation by Machine. Discovery Science 1998: 291-302
	1994
2		Petra Drescher, Martin Holena, Rainer Kruschinski, Gernod Laufkötter: Integrating Frames, Rules and Uncertainty in a Database-Coupled Knowledge-Representation System. DEXA 1994: 703-712
1		Martin Holena: Wahl der Architektur eines neuronalen Netzes mittels der Theorie der Verbände. Fuzzy Days 1994: 365-373

Coauthor Index

1	Manfred Baerns	[8]
2	Lukás Bajer	[22] [23] [24]
3	James N. Cawse	[8]
4	Petra Drescher	[2]
5	Petr Hájek	[3] [6] [7] [18]
6	Rainer Kruschinski	[2]
7	Gernod Laufkötter	[2]
8	David Linke	[15] [19] [23] [24]
9	Jan Rauch	[7] [18]
10	Uwe Rodemerck	[19] [23]
11	David Stefka	[11] [16] [17] [21]
12	Norbert Steinfeldt	[15]

Colors in the list of coauthors

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