| Regression conformal prediction with random forests U Johansson, H Boström, T Löfström, H Linusson Machine learning 97 (1), 155-176, 2014 | 242 | 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 | 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 |
| Conformal Prediction Using Decision Trees U Johansson, H Boström, T Löfström International Conforence on Data Mining - ICDM, 330-339, 2013 | 66 | 2013 |
| Mondrian conformal predictive distributions H Boström, U Johansson, T Löfström Conformal and Probabilistic Prediction and Applications, 24-38, 2021 | 55 | 2021 |
| 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 |
| 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 |
| 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 |
| 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 | 34 | 2007 |
| Calibrated explanations: With uncertainty information and counterfactuals H Löfström, T Löfström, U Johansson, C Sönströd Expert Systems with Applications 246, 123154, 2024 | 29 | 2024 |
| Rule extraction with guarantees from regression models U Johansson, C Sönströd, T Löfström, H Boström Pattern Recognition 126, 108554, 2022 | 29 | 2022 |
| 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 | 29 | 2006 |
| Classification with reject option using conformal prediction H Linusson, U Johansson, H Boström, T Löfström Pacific-Asia Conference on Knowledge Discovery and Data Mining, 94-105, 2018 | 27 | 2018 |
| Evolved decision trees as conformal predictors U Johansson, R König, T Löfström, H Boström 2013 IEEE Congress on Evolutionary Computation, 1794-1801, 2013 | 27 | 2013 |
| Multimodal fine-grained grocery product recognition using image and OCR text T Pettersson, M Riveiro, T Löfström Machine Vision and Applications 35 (4), 79, 2024 | 24 | 2024 |
| 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 | 24 | 2006 |
| Signed-error conformal regression H Linusson, U Johansson, T Löfström Pacific-Asia Conference on Knowledge Discovery and Data Mining, 224-236, 2014 | 23 | 2014 |
| 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 |
| 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 | 21 | 2013 |
Ulf JohanssonProfessor of Computer Science, Jönköping UniversityVerified email at ju.se
