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Ulf Johansson
Ulf Johansson
Professor of Computer Science, Jönköping University
Verified email at ju.se
Title
Cited by
Cited by
Year
Regression conformal prediction with random forests
U Johansson, H Boström, T Löfström, H Linusson
Machine learning 97, 155-176, 2014
1562014
The truth is in there-rule extraction from opaque models using genetic programming.
U Johansson, R König, L Niklasson
FLAIRS conference 1, 2004
892004
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
862011
Evolving decision trees using oracle guides
U Johansson, L Niklasson
2009 IEEE Symposium on Computational Intelligence and Data Mining, 238-244, 2009
762009
Accuracy vs. comprehensibility in data mining models
U Johansson, L Niklasson, R König
Proceedings of the seventh international conference on information fusion 1 …, 2004
742004
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
622003
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
592017
Conformal Prediction Using Decision Trees
U Johansson, H Boström, T Löfström
International Conference Data Mining (ICDM), 2013
552013
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
512017
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
432008
Obtaining accurate and comprehensible data mining models: An evolutionary approach
U Johansson
Institute of Technology, Linköping University, 2007
382007
Interpretable regression trees using conformal prediction
U Johansson, H Linusson, T Löfström, H Boström
Expert systems with applications 97, 394-404, 2018
362018
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
33*2013
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
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
302007
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
292015
Mining trackman golf data
U Johansson, R König, P Brattberg, A Dahlbom, M Riveiro
2015 International Conference on Computational Science and Computational …, 2015
272015
Automatically balancing accuracy and comprehensibility in predictive modeling
U Johansson, R Konig, L Niklasson
2005 7th International Conference on Information Fusion 2, 7 pp., 2005
272005
Efficient conformal predictor ensembles
H Linusson, U Johansson, H Boström
Neurocomputing 397, 266-278, 2020
262020
Bias reduction through conditional conformal prediction
T Löfström, H Boström, H Linusson, U Johansson
Intelligent Data Analysis 19 (6), 1355-1375, 2015
262015
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