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Pål Vegard Johnsen
Pål Vegard Johnsen
PhD
Dirección de correo verificada de sintef.no
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A new method for exploring gene–gene and gene–environment interactions in GWAS with tree ensemble methods and SHAP values
PV Johnsen, S Riemer-Sørensen, AT DeWan, ME Cahill, M Langaas
BMC bioinformatics 22, 1-29, 2021
442021
Inferring feature importance with uncertainties with application to large genotype data
PV Johnsen, I Strümke, M Langaas, AT DeWan, S Riemer-Sørensen
PLOS Computational Biology 19 (3), e1010963, 2023
32023
Inferring feature importance with uncertainties in high-dimensional data
PV Johnsen, I Strümke, S Riemer-Sørensen, AT DeWan, M Langaas
arXiv preprint arXiv:2109.00855, 2021
12021
Recency-Weighted Temporally-Segmented Ensemble for Time-Series Modeling
PV Johnsen, E Bøhn, S Eidnes, F Remonato, S Riemer-Sørensen
arXiv preprint arXiv:2403.02150, 2024
2024
SafetyCage: A misclassification detector for feed-forward neural networks
PV Johnsen, F Remonato
Northern Lights Deep Learning Conference 2024, 2023
2023
Saddlepoint approximations to score test statistics in logistic regression for analyzing genome‐wide association studies
PV Johnsen, Ø Bakke, T Bjørnland, AT DeWan, M Langaas
Statistics in Medicine 42 (16), 2746-2759, 2023
2023
Explainability and validity of statistical methods for genome-wide association studies: Extending Shapley-based explanation methods and adapting saddlepoint approximations
PV Johnsen
NTNU, 2022
2022
Saddlepoint approximations in binary genome-wide association studies
PV Johnsen, Ø Bakke, T Bjørnland, AT DeWan, M Langaas
arXiv preprint arXiv:2110.04025, 2021
2021
Stochastic modelling and analysis of neutral tumor evolution.-Can neutral tumor evolution be inferred from real data?
PV Johnsen
NTNU, 2018
2018
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