| Methodological and practical aspects of data mining A Feelders, H Daniels, M Holsheimer Information & Management 37 (5), 271-281, 2000 | 303 | 2000 |
| Monotone and partially monotone neural networks H Daniels, M Velikova IEEE Transactions on Neural Networks 21 (6), 906-917, 2010 | 212 | 2010 |
| Application of MLP networks to bond rating and house pricing H Daniels, B Kamp Neural Computing & Applications 8, 226-234, 1999 | 115 | 1999 |
| Estimating structural exchange rate models by artificial neural networks J Plasmans, W Verkooijen, H Daniels Applied Financial Economics 8 (5), 541-551, 1998 | 67 | 1998 |
| Data-driven fraud detection in international shipping R Triepels, H Daniels, A Feelders Expert Systems with Applications 99, 193-202, 2018 | 48 | 2018 |
| Derivation of monotone decision models from noisy data HAM Daniels, MV Velikova IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2006 | 48 | 2006 |
| differentiability properties of the pressure in lattice systems H Daniels, A van Enter communications of mathematical physics 71, 65-76, 1980 | 42 | 1980 |
| A general model for automated business diagnosis AJ Feelders, HAM Daniels European Journal of Operational Research 130 (3), 623-637, 2001 | 40 | 2001 |
| Comparison of universal approximators incorporating partial monotonicity by structure A Minin, M Velikova, B Lang, H Daniels Neural Networks 23 (4), 471-475, 2010 | 35 | 2010 |
| Causal reasoning and explanation in dynamic economic systems R Berndsen, H Daniels Journal of Economic Dynamics and Control 18 (1), 251-271, 1994 | 29 | 1994 |
| Derivation of monotone decision models from non-monotone data HAM Daniels, MV Velikova | 24 | 2003 |
| Decision trees for monotone price models M Velikova, H Daniels Computational Management Science 1, 231-244, 2004 | 23 | 2004 |
| Explanation of exceptional values in multi-dimensional business databases EAM Caron, HAM Daniels European Journal of Operational Research 188 (3), 884-897, 2008 | 22 | 2008 |
| Qualitative dynamics and causality in a Keynesian model R Berndsen, H Daniels IFAC Proceedings Volumes 22 (5), 513-520, 1989 | 19 | 1989 |
| Detection and explanation of anomalous payment behavior in real-time gross settlement systems R Triepels, H Daniels, R Heijmans Enterprise Information Systems: 19th International Conference, ICEIS 2017 …, 2018 | 17 | 2018 |
| Uncovering document fraud in maritime freight transport based on probabilistic classification R Triepels, A Feelders, H Daniels Computer Information Systems and Industrial Management: 14th IFIP TC 8 …, 2015 | 16 | 2015 |
| Solving partially monotone problems with neural networks M Velikova, H Daniels, A Feelders Proceedings of the International Conference on Neural Networks, Vienna, Austria, 2006 | 16 | 2006 |
| Project selection based on intellectual capital scorecards H Daniels, H Noordhuis Intelligent Systems in Accounting, Finance & Management: International …, 2005 | 16 | 2005 |
| Anomaly detection in real-time gross settlement systems R Triepels, H Daniels, R Heijmans International Conference on Enterprise Information Systems 2, 433-441, 2017 | 13 | 2017 |
| Identification of organization name variants in large databases using rule-based scoring and clustering: With a case study on the web of science database E Caron, H Daniels | 13 | 2016 |
