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Tuwe Löfström
Tuwe Löfström
Department of Computing, Jönköping School of Engineering, Jönköping University
Dirección de correo verificada de ju.se - Página principal
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Regression conformal prediction with random forests
U Johansson, H Boström, T Löfström, H Linusson
Machine learning 97, 155-176, 2014
1712014
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
622017
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
542017
Interpretable regression trees using conformal prediction
U Johansson, H Linusson, T Löfström, H Boström
Expert systems with applications 97, 394-404, 2018
392018
Mondrian conformal predictive distributions
H Boström, U Johansson, T Löfström
Conformal and Probabilistic Prediction and Applications, 24-38, 2021
332021
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
322007
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
312006
Bias reduction through conditional conformal prediction
T Löfström, H Boström, H Linusson, U Johansson
Intelligent Data Analysis 19 (6), 1355-1375, 2015
302015
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
282014
Evolved decision trees as conformal predictors
U Johansson, R König, T Löfström, H Boström
2013 IEEE Congress on Evolutionary Computation, 1794-1801, 2013
232013
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
232006
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
212008
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
192013
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
192006
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
172019
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
172017
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
172009
Rule extraction with guarantees from regression models
U Johansson, C Sönströd, T Löfström, H Boström
Pattern Recognition 126, 108554, 2022
162022
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
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Artículos 1–20