Walter A. Kosters

2008
36	EE	Tim K. Cocx, Walter A. Kosters, Jeroen F. J. Laros: Temporal Extrapolation within a Static Clustering. ISMIS 2008: 189-195
35	EE	Kees Joost Batenburg, Walter A. Kosters: A Reasoning Framework for Solving Nonograms. IWCIA 2008: 372-383
34	EE	Tim K. Cocx, Walter A. Kosters, Jeroen F. J. Laros: An Early Warning System for the Prediction of Criminal Careers. MICAI 2008: 77-89
33	EE	Hendrik Jan Hoogeboom, Walter A. Kosters, Jeroen F. J. Laros: Selection of DNA Markers. IEEE Transactions on Systems, Man, and Cybernetics, Part C 38(1): 26-32 (2008)
2007
32	EE	Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters: Clustering Improves the Exploration of Graph Mining Results. AIAI 2007: 13-20
31	EE	Joost Broekens, Walter A. Kosters, Fons J. Verbeek: On Affect and Self-adaptation: Potential Benefits of Valence-Controlled Action-Selection. IWINAC (1) 2007: 357-366
30	EE	Kai Ye, Walter A. Kosters, Adriaan P. IJzerman: An efficient, versatile and scalable pattern growth approach to mine frequent patterns in unaligned protein sequences. Bioinformatics 23(6): 687-693 (2007)
29	EE	Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters: Clustering Co-occurrence of Maximal Frequent Patterns in Streams CoRR abs/0705.0588: (2007)
28	EE	Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters: Clustering with Lattices in the Analysis of Graph Patterns CoRR abs/0705.0593: (2007)
27	EE	Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters: Mining Patterns with a Balanced Interval CoRR abs/0705.1110: (2007)
2006
26	EE	Jeroen S. de Bruin, Tim K. Cocx, Walter A. Kosters, Jeroen F. J. Laros, Joost N. Kok: Data Mining Approaches to Criminal Career Analysis. ICDM 2006: 171-177
25	EE	Kees Joost Batenburg, Walter A. Kosters: A Neural Network Approach to Real-Time Discrete Tomography. IWCIA 2006: 389-403
24	EE	Tim K. Cocx, Walter A. Kosters: A Distance Measure for Determining Similarity Between Criminal Investigations. Industrial Conference on Data Mining 2006: 511-525
23	EE	Edgar H. de Graaf, Jeannette M. de Graaf, Walter A. Kosters: Consecutive Support: Better Be Close! CoRR abs/cs/0606024: (2006)
2005
22		Kees Joost Batenburg, Walter A. Kosters: Neural Networks for Discrete Tomography. BNAIC 2005: 21-27
21		Edgar H. de Graaf, Walter A. Kosters: Efficient Feature Detection for Sequence Classification in a Receptor Database. BNAIC 2005: 81-88
20	EE	Jeannette M. de Graaf, Renée X. de Menezes, Judith M. Boer, Walter A. Kosters: Frequent Itemsets for Genomic Profiling. CompLife 2005: 104-116
2004
19	EE	Jeroen Eggermont, Joost N. Kok, Walter A. Kosters: Detecting and Pruning Introns for Faster Decision Tree Evolution. PPSN 2004: 1071-1080
18	EE	Jeroen Eggermont, Joost N. Kok, Walter A. Kosters: Genetic Programming for data classification: partitioning the search space. SAC 2004: 1001-1005
17	EE	Hendrik Jan Hoogeboom, Walter A. Kosters: Tetris and decidability. Inf. Process. Lett. 89(6): 267-272 (2004)
16	EE	Ron Breukelaar, Erik D. Demaine, Susan Hohenberger, Hendrik Jan Hoogeboom, Walter A. Kosters, David Liben-Nowell: Tetris is hard, even to approximate. Int. J. Comput. Geometry Appl. 14(1-2): 41-68 (2004)
15	EE	Hendrik Jan Hoogeboom, Walter A. Kosters: How to Construct Tetris Configurations. Int. J. Intell. Games & Simulation 3(2): 97-105 (2004)
14	EE	Michiel C. van Wezel, Walter A. Kosters: Nonmetric multidimensional scaling: Neural networks versus traditional techniques. Intell. Data Anal. 8(6): 601-613 (2004)
2003
13	EE	Walter A. Kosters, Wim Pijls: Apriori, A Depth First Implementation. FIMI 2003
12	EE	Walter A. Kosters, Wim Pijls, Viara Popova: Complexity Analysis of Depth First and FP-Growth Implementations of APRIORI. MLDM 2003: 284-292
2001
11	EE	Michiel C. van Wezel, Walter A. Kosters, Peter van der Putten, Joost N. Kok: Nonmetric Multidimensional Scaling with Neural Networks. IDA 2001: 145-155
10	EE	Jeannette M. de Graaf, Walter A. Kosters, Jeroen J. W. Witteman: Interesting Fuzzy Association Rules in Quantitative Databases. PKDD 2001: 140-151
9		Thomas Bäck, Jeannette M. de Graaf, Joost N. Kok, Walter A. Kosters: Theory of Genetic Algorithms. Current Trends in Theoretical Computer Science 2001: 546-578
8		Joost N. Kok, Walter A. Kosters: Natural Data Mining Techniques. Current Trends in Theoretical Computer Science 2001: 603-613
2000
7	EE	Maurits D. Out, Walter A. Kosters: A Bayesian approach to combined neural networks forecasting. ESANN 2000: 323-328
6		Joost N. Kok, Walter A. Kosters: Natural Data Mining Techniques. Bulletin of the EATCS 71: 133-142 (2000)
1999
5	EE	Walter A. Kosters, Elena Marchiori, Ard A. J. Oerlemans: Mining Clusters with Association Rules. IDA 1999: 39-50
4	EE	Walter A. Kosters, Joost N. Kok, Patrik Floréen: Fourier Analysis of Genetic Algorithms. Theor. Comput. Sci. 229(1): 143-175 (1999)
1998
3		Michiel C. van Wezel, Walter A. Kosters, Joost N. Kok: Maximum Likelihood Weights for a Linear Ensemble of Regression Neural Networks. ICONIP 1998: 498-501
1997
2		Michiel C. van Wezel, Joost N. Kok, Walter A. Kosters: Two neural network methods for multidimensional scaling. ESANN 1997
1992
1		Jeannette M. de Graaf, Walter A. Kosters: Expected Heights in Heaps. BIT 32(4): 570-579 (1992)

Coauthor Index

1	Thomas Bäck	[9]
2	Kees Joost Batenburg	[22] [25] [35]
3	Judith M. Boer	[20]
4	Ron Breukelaar	[16]
5	Joost Broekens	[31]
6	Jeroen S. de Bruin	[26]
7	Tim K. Cocx	[24] [26] [34] [36]
8	Erik D. Demaine	[16]
9	Jeroen Eggermont	[18] [19]
10	Patrik Floréen	[4]
11	Edgar H. de Graaf	[21] [23] [27] [28] [29] [32]
12	Jeannette M. de Graaf	[1] [9] [10] [20] [23]
13	Susan Hohenberger	[16]
14	Hendrik Jan Hoogeboom	[15] [16] [17] [33]
15	Adriaan P. IJzerman	[30]
16	Joost N. Kok	[2] [3] [4] [6] [8] [9] [11] [18] [19] [26] [27] [28] [29] [32]
17	Jeroen F. J. Laros	[26] [33] [34] [36]
18	David Liben-Nowell	[16]
19	Elena Marchiori	[5]
20	Renée X. de Menezes	[20]
21	Ard A. J. Oerlemans	[5]
22	Maurits D. Out	[7]
23	Wim Pijls	[12] [13]
24	Viara Popova	[12]
25	Peter van der Putten	[11]
26	Fons J. Verbeek	[31]
27	Michiel C. van Wezel	[2] [3] [11] [14]
28	Jeroen J. W. Witteman	[10]
29	Kai Ye	[30]

Colors in the list of coauthors