| 2021 | EMNLP | Generating Realistic Natural Language Counterfactuals. | Marcel Robeer, Floris Bex, Ad Feelders |
| 2020 | IIWAS | Tailored Graph Embeddings for Entity Alignment on Historical Data. | Jurian Baas, Mehdi Dastani, Ad Feelders |
| 2016 | IJCNN | Exploiting monotonicity constraints to reduce label noise: An experimental evaluation. | Ad Feelders, Tijmen Kolkman |
| 2015 | ICWE | A Quantitative Comparison of Semantic Web Page Segmentation Approaches. | Robert Kreuzer, Jurriaan Hage, Ad Feelders |
| 2015 | SDM | Exceptional Model Mining with Tree-Constrained Gradient Ascent. | Thomas E. Krak, Ad Feelders |
| 2014 | ECAI | Real-time Adaptive Problem Detection in Poultry. | Steven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers |
| 2014 | IDA | Real-Time Adaptive Residual Calculation for Detecting Trend Deviations in Systems with Natural Variability. | Steven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers |
| 2014 | SDM | Exploiting Monotonicity Constraints in Active Learning for Ordinal Classification. | Pieter Soons, Ad Feelders |
| 2012 | ICDM | Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data. | Michael Mampaey, Siegfried Nijssen, Ad Feelders, Arno J. Knobbe |
| 2012 | KDD | Different slopes for different folks: mining for exceptional regression models with cook's distance. | Wouter Duivesteijn, Ad Feelders, Arno J. Knobbe |
| 2012 | LAK | Probability estimation and a competence model for rule based e-tutoring systems. | Diederik M. Roijers, Johan Jeuring, Ad Feelders |
| 2012 | SDM | Active Learning with Monotonicity Constraints. | Nicola Barile, Ad Feelders |
| 2011 | DIS | Monotone Instance Ranking with mira. | Nicola Barile, Ad Feelders |
| 2011 | ECSQARU | When Learning Naive Bayesian Classifiers Preserves Monotonicity. | Barbara F. I. Pieters, Linda C. van der Gaag, Ad Feelders |
| 2011 | ICDM | On Generating All Optimal Monotone Classifications. | Luite Stegeman, Ad Feelders |
| 2010 | ICDM | Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach. | Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, Matthijs van Leeuwen |
| 2010 | ICDM | Monotone Relabeling in Ordinal Classification. | Ad Feelders |
| 2009 | IDA | Isotonic Classification Trees. | Rmon van de Kamp, Ad Feelders, Nicola Barile |
| 2008 | ICDM | Nonparametric Monotone Classification with MOCA. | Nicola Barile, Ad Feelders |
| 2007 | UAI | A new parameter Learning Method for Bayesian Networks with Qualitative Influences. | Ad Feelders |
| 2005 | AISTATS | Learning Bayesian Network Models from Incomplete Data using Importance Sampling. | Carsten Riggelsen, Ad Feelders |