A. J. Feelders

2007
19	EE	A. J. Feelders, Robert van Straalen: Parameter Learning for Bayesian Networks with Strict Qualitative Influences. IDA 2007: 48-58
2006
18	EE	A. J. Feelders, Jevgenijs Ivanovs: Discriminative Scoring of Bayesian Network Classifiers: a Comparative Study. Probabilistic Graphical Models 2006: 75-82
17	EE	A. J. Feelders, Linda C. van der Gaag: Learning Bayesian network parameters under order constraints. Int. J. Approx. Reasoning 42(1-2): 37-53 (2006)
2005
16		A. Fazel Famili, Joost N. Kok, José María Peña, Arno Siebes, A. J. Feelders: Advances in Intelligent Data Analysis VI, 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings Springer 2005
15	EE	Arno Siebes, Muhammad Subianto, A. J. Feelders: Instability of Classifiers on Categorical Data. ICDM 2005: 769-772
14	EE	Eveline M. Helsper, Linda C. van der Gaag, A. J. Feelders, Willie Loeffen, Petra L. Geenen, Armin Elbers: Bringing order into bayesian-network construction. K-CAP 2005: 121-128
13	EE	A. J. Feelders, Linda C. van der Gaag: Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences. UAI 2005: 193-200
12	EE	Michael Egmont-Petersen, A. J. Feelders, Bart Baesens: Confidence intervals for probabilistic network classifiers. Computational Statistics & Data Analysis 49(4): 998-1019 (2005)
2004
11	EE	Linda C. van der Gaag, Hans L. Bodlaender, A. J. Feelders: Monotonicity in Bayesian Networks. UAI 2004: 569-576
2003
10	EE	A. J. Feelders, Martijn Pardoel: Pruning for Monotone Classification Trees. IDA 2003: 1-12
2002
9	EE	Rob Potharst, A. J. Feelders: Classification trees for problems with monotonicity constraints. SIGKDD Explorations 4(1): 1-10 (2002)
2001
8	EE	Robert Castelo, A. J. Feelders, Arno Siebes: MAMBO: Discovering Association Rules Based on Conditional Independencies. IDA 2001: 289-298
2000
7	EE	A. J. Feelders: Prior Knowledge in Economic Applications of Data Mining. PKDD 2000: 395-400
1999
6		A. J. Feelders: Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation. PKDD 1999: 329-334
1998
5		A. J. Feelders, Soong Chang, Geoffrey J. McLachlan: Mining in the Presence of Selectivity Bias and its Application to Reject Inference. KDD 1998: 199-203
4	EE	Jack P. C. Kleijnen, A. J. Feelders, Russell C. H. Cheng: Bootstrapping and Validation of Metamodels in Simulation. Winter Simulation Conference 1998: 701-705
1996
3		A. J. Feelders: Data mining and related techniques. EUROSIM 1996: 521-527
2		A. J. Feelders: Learning from Biased Data Using Mixture Models. KDD 1996: 102-107
1995
1		A. J. Feelders, A. J. F. le Loux, J. W. van't Zand: Data Mining for Loan Evaluation at ABN AMRO: A Case Study. KDD 1995: 106-111

Coauthor Index

1	Bart Baesens	[12]
2	Hans L. Bodlaender	[11]
3	Robert Castelo	[8]
4	Soong Chang	[5]
5	Russell C. H. Cheng	[4]
6	Michael Egmont-Petersen	[12]
7	Armin Elbers	[14]
8	Fazel Famili (A. Fazel Famili)	[16]
9	Linda C. van der Gaag	[11] [13] [14] [17]
10	Petra L. Geenen	[14]
11	Eveline M. Helsper	[14]
12	Jevgenijs Ivanovs	[18]
13	Jack P. C. Kleijnen	[4]
14	Joost N. Kok	[16]
15	Willie Loeffen	[14]
16	A. J. F. le Loux	[1]
17	Geoffrey J. McLachlan	[5]
18	Martijn Pardoel	[10]
19	José María Peña	[16]
20	Rob Potharst	[9]
21	Arno Siebes	[8] [15] [16]
22	Robert van Straalen	[19]
23	Muhammad Subianto	[15]
24	J. W. van't Zand	[1]

Colors in the list of coauthors