| Regression conformal prediction with random forests U Johansson, H Boström, T Löfström, H Linusson Machine learning 97, 155-176, 2014 | 194 | 2014 |
| The truth is in there-rule extraction from opaque models using genetic programming. U Johansson, R König, L Niklasson FLAIRS, 658-663, 2004 | 100 | 2004 |
| Trade-off between accuracy and interpretability for predictive in silico modeling U Johansson, C Sönströd, U Norinder, H Boström Future 3 (6), 647-663, 2011 | 99 | 2011 |
| Evolving decision trees using oracle guides U Johansson, L Niklasson 2009 IEEE Symposium on Computational Intelligence and Data Mining, 238-244, 2009 | 81 | 2009 |
| Accuracy vs. comprehensibility in data mining models U Johansson, L Niklasson, R König Proceedings of the seventh international conference on information fusion 1 …, 2004 | 77 | 2004 |
| On the calibration of aggregated conformal predictors H Linusson, U Norinder, H Boström, U Johansson, T Löfström Conformal and probabilistic prediction and applications, 154-173, 2017 | 67 | 2017 |
| Rule extraction from trained neural networks using genetic programming U Johansson, R König, L Niklasson 13th International Conference on Artificial Neural Networks, 13-16, 2003 | 62 | 2003 |
| Conformal Prediction Using Decision Trees U Johansson, H Boström, T Löfström International Conference Data Mining (ICDM), 2013 | 61 | 2013 |
| Accelerating difficulty estimation for conformal regression forests H Boström, H Linusson, T Löfström, U Johansson Annals of Mathematics and Artificial Intelligence 81, 125-144, 2017 | 60 | 2017 |
| G-REX: A versatile framework for evolutionary data mining R Konig, U Johansson, L Niklasson 2008 IEEE International Conference on Data Mining Workshops, 971-974, 2008 | 56 | 2008 |
| Mondrian conformal predictive distributions H Boström, U Johansson, T Löfström Conformal and Probabilistic Prediction and Applications, 24-38, 2021 | 48 | 2021 |
| Interpretable regression trees using conformal prediction U Johansson, H Linusson, T Löfström, H Boström Expert systems with applications 97, 394-404, 2018 | 42 | 2018 |
| Obtaining accurate and comprehensible data mining models: An evolutionary approach U Johansson Institute of Technology, Linköping University, 2007 | 38 | 2007 |
| Efficient conformal predictor ensembles H Linusson, U Johansson, H Boström Neurocomputing 397, 266-278, 2020 | 35 | 2020 |
| Bias reduction through conditional conformal prediction T Löfström, H Boström, H Linusson, U Johansson Intelligent Data Analysis 19 (6), 1355-1375, 2015 | 35 | 2015 |
| Effective utilization of data in inductive conformal prediction using ensembles of neural networks T Löfström, U Johansson, H Boström The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013 | 35* | 2013 |
| Building neural network ensembles using genetic programming U Johansson, T Lofstrom, R Konig, L Niklasson The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 35 | 2006 |
| Mondrian conformal regressors H Boström, U Johansson Conformal and Probabilistic Prediction and Applications, 114-133, 2020 | 34 | 2020 |
| Mining trackman golf data U Johansson, R König, P Brattberg, A Dahlbom, M Riveiro 2015 International Conference on Computational Science and Computational …, 2015 | 34 | 2015 |
| The importance of diversity in neural network ensembles-an empirical investigation U Johansson, T Lofstrom, L Niklasson 2007 International Joint Conference on Neural Networks, 661-666, 2007 | 33 | 2007 |
Tuwe LöfströmDepartment of Computing, Jönköping School of Engineering, Jönköping UniversityVerified email at ju.se