Kamu erişimi zorunlu olan makaleler - Isak SamstenDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 1
An investigation of interpretable deep learning for adverse drug event prediction
J Rebane, I Karlsson, P Papapetrou
2019 IEEE 32nd International Symposium on Computer-Based Medical Systems …, 2019
Zorunlu olanlar: Swedish Research Council
Bir yerde sunuluyor: 12
A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records
F Bagattini, I Karlsson, J Rebane, P Papapetrou
BMC medical informatics and decision making 19, 1-20, 2019
Zorunlu olanlar: Swedish Research Council
Explainable time series tweaking via irreversible and reversible temporal transformations
I Karlsson, J Rebane, P Papapetrou, A Gionis
2018 IEEE International Conference on Data Mining (ICDM), 207-216, 2018
Zorunlu olanlar: Academy of Finland, European Commission
Locally and globally explainable time series tweaking
I Karlsson, J Rebane, P Papapetrou, A Gionis
Knowledge and Information Systems 62 (5), 1671-1700, 2020
Zorunlu olanlar: Academy of Finland, European Commission
Exploiting complex medical data with interpretable deep learning for adverse drug event prediction
J Rebane, I Samsten, P Papapetrou
Artificial Intelligence in Medicine 109, 101942, 2020
Zorunlu olanlar: Swedish Research Council
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
Zorunlu olanlar: Swedish Research Council
Goldeneye++: A closer look into the black box
A Henelius, K Puolamäki, I Karlsson, J Zhao, L Asker, H Boström, ...
Statistical Learning and Data Sciences: Third International Symposium, SLDS …, 2015
Zorunlu olanlar: Finnish Funding Agency for Innovation
Assessing the clinical validity of attention-based and SHAP temporal explanations for adverse drug event predictions
J Rebane, I Samsten, P Pantelidis, P Papapetrou
2021 IEEE 34th International Symposium on Computer-Based Medical Systems …, 2021
Zorunlu olanlar: Swedish Research Council
SMILE: a feature-based temporal abstraction framework for event-interval sequence classification
J Rebane, I Karlsson, L Bornemann, P Papapetrou
Data mining and knowledge discovery 35 (1), 372-399, 2021
Zorunlu olanlar: Swedish Research Council
Mining disproportional itemsets for characterizing groups of heart failure patients from administrative health records
I Karlsson, P Papapetrou, L Asker, H Boström, HE Persson
Proceedings of the 10th International Conference on PErvasive Technologies …, 2017
Zorunlu olanlar: Swedish Research Council
Semigeometric tiling of event sequences
A Henelius, I Karlsson, P Papapetrou, A Ukkonen, K Puolamäki
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
Zorunlu olanlar: Academy of Finland, Finnish Funding Agency for Innovation
Kapminer: Mining ordered association rules with constraints
I Karlsson, P Papapetrou, L Asker
International Symposium on Intelligent Data Analysis, 149-161, 2017
Zorunlu olanlar: Swedish Research Council
Learning from Administrative Health Registries
J Rebane, I Karlsson, L Asker, H Boström, P Papapetrou
The 2nd Workshop on Data Science for Social Good, 2017
Zorunlu olanlar: Swedish Research Council
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