Tony Lindgren
Tony Lindgren
Department of Computer and System Sciences
Verified email at - Homepage
Cited by
Cited by
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
Methods for rule conflict resolution
T Lindgren
Machine Learning: ECML 2004: 15th European Conference on Machine Learning …, 2004
Resolving rule conflicts with double induction
T Lindgren, H Boström
Intelligent Data Analysis 8 (5), 457-468, 2004
Conformal prediction using random survival forests
H Bostrom, 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 using multiple subsets of bins
RB Gurung, T Lindgren, H Boström
The Twenty-Ninth International Flairs Conference, 2016
Resolving rule conflicts with double induction
T Lindgren, H Boström
IDA, 60-67, 2003
Classification with intersecting rules
T Lindgren, H Boström
ALT, 395-402, 2002
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
Z-miner: an efficient method for mining frequent arrangements of event intervals
Z Lee, T Lindgren, P Papapetrou
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Predicting NOx sensor failure in heavy duty trucks using histogram-based random forests
RB Gurung, T Lindgren, H Bostr
International Journal of Prognostics and Health Management 8 (1), 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
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
Open government ideologies in post-soviet countries
K Hansson, A Talantsev, J Nouri, L Ekenberg, T Lindgren
International Journal of Electronic Governance 8 (3), 244-264, 2016
Explaining random forest predictions with association rules
H Boström, RB Gurung, T Lindgren, U Johansson
Archives of Data Science, Series A (Online First) 5 (1), A05, 2018
Anytime inductive logic programming.
T Lindgren
CATA, 439-442, 2000
Example-based feature tweaking using random forests
T Lindgren, P Papapetrou, I Samsten, L Asker
2019 IEEE 20th International Conference on Information Reuse and Integration …, 2019
APS failure at Scania trucks data set
T Lindgren, J Biteus
Model Based Sampling-Fitting an Ensemble of Models into a Single Model
T Lindgren
2015 International Conference on Computational Science and Computational …, 2015
On handling conflicts between rules with numerical features
T Lindgren
Proceedings of the 2006 ACM symposium on Applied computing, 37-41, 2006
On data driven organizations and the necessity of interpretable models
T Lindgren
Smart Grid and Internet of Things: Second EAI International Conference …, 2019
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