| Regression conformal prediction with random forests U Johansson, H Boström, T Löfström, H Linusson Machine learning 97 (1), 155-176, 2014 | 242 | 2014 |
| 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 | 119 | 2011 |
| The truth is in there-rule extraction from opaque models using genetic programming. U Johansson, R König, L Niklasson FLAIRS, 658-663, 2004 | 110 | 2004 |
| Evolving decision trees using oracle guides U Johansson, L Niklasson 2009 IEEE Symposium on Computational Intelligence and Data Mining, 238-244, 2009 | 88 | 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 | 83 | 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 | 80 | 2017 |
| Accelerating difficulty estimation for conformal regression forests H Boström, H Linusson, T Löfström, U Johansson Annals of Mathematics and Artificial Intelligence 81 (1), 125-144, 2017 | 69 | 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 | 68 | 2008 |
| Conformal Prediction Using Decision Trees U Johansson, H Boström, T Löfström International Conference Data Mining (ICDM), 2013 | 66 | 2013 |
| 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 | 60 | 2003 |
| Mondrian conformal predictive distributions H Boström, U Johansson, T Löfström Conformal and Probabilistic Prediction and Applications, 24-38, 2021 | 55 | 2021 |
| Mondrian conformal regressors H Boström, U Johansson Conformal and probabilistic prediction and applications, 114-133, 2020 | 48 | 2020 |
| Interpretable regression trees using conformal prediction U Johansson, H Linusson, T Löfström, H Boström Expert systems with applications 97, 394-404, 2018 | 45 | 2018 |
| Bias reduction through conditional conformal prediction T Löfström, H Boström, H Linusson, U Johansson Intelligent Data Analysis 19 (6), 1355-1375, 2015 | 45 | 2015 |
| Efficient conformal predictor ensembles H Linusson, U Johansson, H Boström Neurocomputing 397, 266-278, 2020 | 44 | 2020 |
| Obtaining accurate and comprehensible data mining models: An evolutionary approach U Johansson Institute of Technology, Linköping University, 2007 | 40 | 2007 |
| A meta survey of quality evaluation criteria in explanation methods H Löfström, K Hammar, U Johansson International Conference on Advanced Information Systems Engineering, 55-63, 2022 | 38 | 2022 |
| Model-agnostic nonconformity functions for conformal classification U Johansson, H Linusson, T Löfström, H Boström 2017 International Joint Conference on Neural Networks (IJCNN), 2072-2079, 2017 | 38 | 2017 |
| 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 | 35 | 2015 |
| Efficiency comparison of unstable transductive and inductive conformal classifiers H Linusson, U Johansson, H Boström, T Löfström IFIP International conference on artificial intelligence applications and …, 2014 | 35 | 2014 |
Tuwe LöfströmDepartment of Computing, Jönköping School of Engineering, Jönköping UniversityVerified email at ju.se
