Regression conformal prediction with random forests U Johansson, H Boström, T Löfström, H Linusson Machine learning 97, 155-176, 2014 | 171 | 2014 |
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 | 62 | 2017 |
Conformal Prediction Using Decision Trees T Johansson, Ulf, Boström, Henrik, Löfström International Conforence on Data Mining - ICDM, 330-339, 2013 | 56* | 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 | 54 | 2017 |
Interpretable regression trees using conformal prediction U Johansson, H Linusson, T Löfström, H Boström Expert systems with applications 97, 394-404, 2018 | 39 | 2018 |
Mondrian conformal predictive distributions H Boström, U Johansson, T Löfström Conformal and Probabilistic Prediction and Applications, 24-38, 2021 | 32 | 2021 |
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 | 32 | 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 | 31 | 2006 |
Bias reduction through conditional conformal prediction T Löfström, H Boström, H Linusson, U Johansson Intelligent Data Analysis 19 (6), 1355-1375, 2015 | 29 | 2015 |
Efficiency comparison of unstable transductive and inductive conformal classifiers H Linusson, U Johansson, H Boström, T Löfström Artificial Intelligence Applications and Innovations: AIAI 2014 Workshops …, 2014 | 28 | 2014 |
Evolved decision trees as conformal predictors U Johansson, R König, T Löfström, H Boström 2013 IEEE Congress on Evolutionary Computation, 1794-1801, 2013 | 23 | 2013 |
Rule Extraction from Opaque Models--A Slightly Different Perspective U Johansson, T Lofstrom, R Konig, C Sonstrod, L Niklasson 2006 5th International Conference on Machine Learning and Applications …, 2006 | 23 | 2006 |
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 | 21 | 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 | 19 | 2013 |
Why not use an oracle when you got one U Johansson, T Löfström, R König, L Niklasson Neural Information Processing-Letters and Reviews 10 (8-9), 227-236, 2006 | 19 | 2006 |
Calibrating probability estimation trees using venn-abers predictors U Johansson, T Löfström, H Boström Proceedings of the 2019 SIAM International Conference on Data Mining, 28-36, 2019 | 17 | 2019 |
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 | 17 | 2017 |
Ensemble member selection using multi-objective optimization T Lofstrom, U Johansson, H Bostrom 2009 IEEE Symposium on Computational Intelligence and Data Mining, 245-251, 2009 | 17 | 2009 |
Rule extraction with guarantees from regression models U Johansson, C Sönströd, T Löfström, H Boström Pattern Recognition 126, 108554, 2022 | 16 | 2022 |
On Effectively Creating Ensembles of Classifiers: Studies on Creation Strategies, Diversity and Predicting with Confidence T Löfström Computer and System Sciences, Stockholm University, 2015 | 16* | 2015 |