| 2007 | IDA | Parameter Learning for Bayesian Networks with Strict Qualitative Influences. | A. J. Feelders, Robert van Straalen |
| 2005 | ICDM | Instability of Classifiers on Categorical Data. | Arno Siebes, Muhammad Subianto, A. J. Feelders |
| 2005 | UAI | Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences. | A. J. Feelders, Linda C. van der Gaag |
| 2004 | UAI | Monotonicity in Bayesian Networks. | Linda C. van der Gaag, Hans L. Bodlaender, A. J. Feelders |
| 2003 | IDA | Pruning for Monotone Classification Trees. | A. J. Feelders, Martijn Pardoel |
| 2001 | IDA | MAMBO: Discovering Association Rules Based on Conditional Independencies. | Robert Castelo, A. J. Feelders, Arno Siebes |
| 1998 | KDD | Mining in the Presence of Selectivity Bias and its Application to Reject Inference. | A. J. Feelders, Soong Chang, Geoffrey J. McLachlan |
| 1998 | WSC | Bootstrapping and Validation of Metamodels in Simulation. | Jack P. C. Kleijnen, A. J. Feelders, Russell C. H. Cheng |
| 1996 | KDD | Learning from Biased Data Using Mixture Models. | A. J. Feelders |
| 1995 | AISTATS | On the Statistical Comparison of Inductive Learning Methods. | A. J. Feelders, W. J. H. Verkooijen |
| 1995 | KDD | Data Mining for Loan Evaluation at ABN AMRO: A Case Study. | A. J. Feelders, A. J. F. le Loux, J. W. van't Zand |