| Regression conformal prediction with random forests U Johansson, H Boström, T Löfström, H Linusson Machine learning 97, 155-176, 2014 | 115 | 2014 |
| The truth is in there-rule extraction from opaque models using genetic programming. U Johansson, R König, L Niklasson FLAIRS conference 1, 2004 | 75 | 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 | 70 | 2011 |
| Evolving decision trees using oracle guides U Johansson, L Niklasson 2009 IEEE Symposium on Computational Intelligence and Data Mining, 238-244, 2009 | 69 | 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 | 69 | 2004 |
| 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 | 58 | 2003 |
| Conformal Prediction Using Decision Trees U Johansson, H Boström, T Löfström International Conference Data Mining (ICDM), 2013 | 52 | 2013 |
| 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 | 50 | 2017 |
| 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 | 43 | 2017 |
| Obtaining accurate and comprehensible data mining models: An evolutionary approach U Johansson Institute of Technology, Linköping University, 2007 | 36 | 2007 |
| 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 | 33 | 2008 |
| 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 | 30* | 2013 |
| Interpretable regression trees using conformal prediction U Johansson, H Linusson, T Löfström, H Boström Expert systems with applications 97, 394-404, 2018 | 29 | 2018 |
| 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 | 29 | 2007 |
| 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 | 26 | 2006 |
| Automatically balancing accuracy and comprehensibility in predictive modeling U Johansson, R Konig, L Niklasson 2005 7th International Conference on Information Fusion 2, 7 pp., 2005 | 26 | 2005 |
| Mining trackman golf data U Johansson, R König, P Brattberg, A Dahlbom, M Riveiro 2015 International Conference on Computational Science and Computational …, 2015 | 24 | 2015 |
| High-frequency equity index futures trading using recurrent reinforcement learning with candlesticks P Gabrielsson, U Johansson 2015 IEEE Symposium Series on Computational Intelligence, 734-741, 2015 | 22 | 2015 |
| On the use of accuracy and diversity measures for evaluating and selecting ensembles of classifiers T Löfström, U Johansson, H Boström 2008 Seventh International Conference on Machine Learning and Applications …, 2008 | 22 | 2008 |
| Bias reduction through conditional conformal prediction T Löfström, H Boström, H Linusson, U Johansson Intelligent Data Analysis 19 (6), 1355-1375, 2015 | 21 | 2015 |
Tuwe LöfströmDepartment of Computing, Jönköping School of Engineering, Jönköping UniversityVerified email at ju.se
