Takip et
Tony Lindgren
Tony Lindgren
Department of Computer and System Sciences
dsv.su.se üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
442017
Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning
LA Bull, D Di Francesco, M Dhada, O Steinert, T Lindgren, AK Parlikad, ...
Computer‐Aided Civil and Infrastructure Engineering 38 (7), 821-848, 2023
38*2023
Methods for rule conflict resolution
T Lindgren
European Conference on Machine Learning, 262-273, 2004
352004
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
232020
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
19*2017
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
172018
Resolving rule conflicts with double induction
T Lindgren, H Boström
Intelligent Data Analysis 8 (5), 457-468, 2004
172004
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
152019
Z-Time: efficient and effective interpretable multivariate time series classification
Z Lee, T Lindgren, P Papapetrou
Data mining and knowledge discovery 38 (1), 206-236, 2024
142024
Resolving rule conflicts with double induction
T Lindgren, H Boström
International Symposium on Intelligent Data Analysis, 60-67, 2003
142003
Learning Decision Trees from Histogram Data Using Multiple Subsets of Bins.
RB Gurung, T Lindgren, H Boström
FLAIRS, 430-435, 2016
132016
Classification with intersecting rules
T Lindgren, H Boström
Algorithmic Learning Theory: 13th International Conference, ALT 2002 Lübeck …, 2002
132002
Weibull recurrent neural networks for failure prognosis using histogram data
M Dhada, AK Parlikad, O Steinert, T Lindgren
Neural Computing and Applications 35 (4), 3011-3024, 2023
122023
APS failure at Scania trucks data set
T Lindgren, J Biteus
UCI Machine Learning Repository: APS Failure at Scania Trucks Data Set …, 2016
12*2016
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
112017
Scania component x dataset: A real-world multivariate time series dataset for predictive maintenance
Z Kharazian, T Lindgren, S Magnússon, O Steinert, OA Reyna
arXiv preprint arXiv:2401.15199, 2024
102024
Measuring the burden of (un) fairness using counterfactuals
A Kuratomi, E Pitoura, P Papapetrou, T Lindgren, P Tsaparas
Joint European conference on machine learning and knowledge discovery in …, 2022
92022
Learning decision trees from histogram data
RB Gurung, T Lindgren, H Boström
11th International Conference on Data Mining (DMIN'15), Las Vegas, Nevada …, 2015
82015
Anytime inductive logic programming.
T Lindgren
CATA, 439-442, 2000
82000
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
72019
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20