| Regression conformal prediction with random forests U Johansson, H Boström, T Löfström, H Linusson Machine learning 97, 155-176, 2014 | 203 | 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 | 69 | 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 | 61 | 2017 |
| Interpretable regression trees using conformal prediction U Johansson, H Linusson, T Löfström, H Boström Expert systems with applications 97, 394-404, 2018 | 41 | 2018 |
| Efficient conformal predictor ensembles H Linusson, U Johansson, H Boström Neurocomputing 397, 266-278, 2020 | 39 | 2020 |
| Bias reduction through conditional conformal prediction T Löfström, H Boström, H Linusson, U Johansson Intelligent Data Analysis 19 (6), 1355-1375, 2015 | 39 | 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 | 30 | 2014 |
| Multi-output random forests H Linusson University of Borås/School of Business and IT, 2013 | 30 | 2013 |
| 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 | 29 | 2017 |
| Classification with reject option using conformal prediction H Linusson, U Johansson, H Boström, T Löfström Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 20 | 2018 |
| Modifications to p-values of conformal predictors L Carlsson, E Ahlberg, H Boström, U Johansson, H Linusson International Symposium on Statistical Learning and Data Sciences, 251-259, 2015 | 20 | 2015 |
| Signed-error conformal regression H Linusson, U Johansson, T Löfström Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia …, 2014 | 20 | 2014 |
| Handling small calibration sets in mondrian inductive conformal regressors U Johansson, E Ahlberg, H Boström, L Carlsson, H Linusson, C Sönströd International Symposium on Statistical Learning and Data Sciences, 271-280, 2015 | 18 | 2015 |
| Regression trees for streaming data with local performance guarantees U Johansson, C Sönströd, H Linusson, H Boström 2014 IEEE International Conference on Big Data (Big Data), 461-470, 2014 | 17 | 2014 |
| Accurate hit estimation for iterative screening using venn–abers predictors R Buendia, T Kogej, O Engkvist, L Carlsson, H Linusson, U Johansson, ... Journal of Chemical Information and Modeling 59 (3), 1230-1237, 2019 | 14 | 2019 |
| Venn predictors for well-calibrated probability estimation trees U Johansson, T Löfström, H Sundell, H Linusson, A Gidenstam, ... Conformal and Probabilistic Prediction and Applications, 3-14, 2018 | 14 | 2018 |
| Green accelerated Hoeffding tree E Garcia-Martin, A Bifet, N Lavesson, R König, H Linusson arXiv preprint arXiv:2205.03184, 2022 | 12 | 2022 |
| Reliable confidence predictions using conformal prediction H Linusson, U Johansson, H Boström, T Löfström Pacific-Asia Conference on Knowledge Discovery and Data Mining, 77-88, 2016 | 12 | 2016 |
| Efficient conformal regressors using bagged neural nets U Johansson, C Sönströd, H Linusson 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 12 | 2015 |
| Nonconformity measures and ensemble strategies: An analysis of conformal predictor efficiency and validity H Linusson Department of Computer and Systems Sciences, Stockholm University, 2021 | 11 | 2021 |
Ulf JohanssonProfessor of Computer Science, Jönköping UniversityBestätigte E-Mail-Adresse bei ju.se