Tony Lindgren
Tony Lindgren
Department of Computer and System Sciences
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Methods for rule conflict resolution
T Lindgren
European Conference on Machine Learning, 262-273, 2004
Resolving rule conflicts with double induction
T Lindgren, H Boström
Intelligent Data Analysis 8 (5), 457-468, 2004
Planning flexible maintenance for heavy trucks using machine learning models, constraint programming, and route optimization
J Biteus, T Lindgren
SAE International Journal of Materials and Manufacturing 10 (3), 306-315, 2017
Resolving rule conflicts with double induction
T Lindgren, H Boström
International Symposium on Intelligent Data Analysis, 60-67, 2003
Classification with intersecting rules
T Lindgren, H Boström
International Conference on Algorithmic Learning Theory, 395-402, 2002
Learning decision trees from histogram data using multiple subsets of bins
RB Gurung, T Lindgren, H Boström
The Twenty-Ninth International Flairs Conference, 2016
Conformal prediction using random survival forests
H Bostr, L Asker, R Gurung, I Karlsson, T Lindgren, P Papapetrou
2017 16th IEEE International Conference on Machine Learning and Applications …, 2017
Learning decision trees from histogram data
RB Gurung, T Lindgren, H Boström
11th International Conference on Data Mining (DMIN'15), Las Vegas, Nevada …, 2015
On handling conflicts between rules with numerical features
T Lindgren
Proceedings of the 2006 ACM symposium on Applied computing, 37-41, 2006
Anytime inductive logic programming.
T Lindgren
Computers and Their Applications, 439-442, 2000
Predicting NOx sensor failure in heavy duty trucks using histogram-based random forests
RB Gurung, T Lindgren, H Boström
Int. J. Prognostics Health Manage. 8 (1), 1-14, 2017
Improving the maintenance planning of heavy trucks using constraint programming
T Lindgren, H Warnquist, M Eineborg
Proceedings of the 12th international workshop on constraint modelling and …, 2013
Open government ideologies in post-soviet countries
T Lindgren, L Ekenberg, J Nouri, A Talantsev, K Hansson
International Journal of Electronic Governance 8 (3), 256-272, 2016
Learning random forest from histogram data using split specific axis rotation
R Gurung, T Lindgren, H Boström
International Journal of Machine Learning and Computing 8 (1), 74-79, 2018
Model Based Sampling-Fitting an Ensemble of Models into a Single Model
T Lindgren
2015 International Conference on Computational Science and Computational …, 2015
Expert guided adaptive maintenance
T Lindgren, J Biteus
European Conference of the Prognostics and Health Management Society, Nantes …, 2014
An Interactive Visual Tool Enhance Understanding of Random Forest Prediction
RB Gurung, T Lindgren, H Boström
Archives of Data Science, Series A, 2020
A Methodology for Prognostics Under the Conditions of Limited Failure Data Availability
GD Ranasinghe, T Lindgren, M Girolami, AK Parlikad
IEEE Access 7, 183996-184007, 2019
On data driven organizations and the necessity of interpretable models
T Lindgren
International Conference on Smart Grid and Internet of Things, 121-130, 2018
Randomized separate and conquer rule induction
T Lindgren
Proceedings of the International Conference on Compute and Data Analysis …, 2017
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Artiklar 1–20