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Pål V. Johnsen

Pål Vegard Johnsen

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Journal Articles

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2023
[j2]
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  - journals/ploscb/JohnsenSLDR23
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  - https://dblp.org/rec/journals/ploscb/JohnsenSLDR23
Pål Vegard Johnsen, Inga Strümke, Mette Langaas, Andrew Thomas DeWan, Signe Riemer-Sørensen:
Inferring feature importance with uncertainties with application to large genotype data. PLoS Comput. Biol. 19(3) (2023)
2021
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  - journals/bmcbi/JohnsenRDCL21
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Pål V. Johnsen, Signe Riemer-Sørensen, Andrew Thomas DeWan, Megan E. Cahill, Mette Langaas:
A new method for exploring gene-gene and gene-environment interactions in GWAS with tree ensemble methods and SHAP values. BMC Bioinform. 22(1): 230 (2021)

Conference and Workshop Papers

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2024
[c1]
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  - conf/nldl/JohnsenR24
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Pål Vegard Johnsen, Filippo Remonato:
SafetyCage: A misclassification detector for feed-forward neural networks. NLDL 2024: 113-119

Informal and Other Publications

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2024
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  - journals/corr/abs-2403-02150
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Pål V. Johnsen, Eivind Bøhn, Sølve Eidnes, Filippo Remonato, Signe Riemer-Sørensen:
Recency-Weighted Temporally-Segmented Ensemble for Time-Series Modeling. CoRR abs/2403.02150 (2024)
2021
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  dblp key:
  - journals/corr/abs-2109-00855
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Pål Vegard Johnsen, Inga Strümke, Signe Riemer-Sørensen, Andrew Thomas DeWan, Mette Langaas:
Inferring feature importance with uncertainties in high-dimensional data. CoRR abs/2109.00855 (2021)

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