2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ML2024
Recency-Weighted Temporally-Segmented Ensemble for Time-Series Modeling
Pål V. Johnsen, Eivind Bøhn, Sølve Eidnes +2
Time-series modeling in process industries faces the challenge of dealing with complex, multi-faceted, and evolving data characteristics. Conventional single model approaches often…
cs.LG2021★ 2 cited
Inferring feature importance with uncertainties in high-dimensional data
Pål Vegard Johnsen, Inga Strümke, Signe Riemer-Sørensen +2
Estimating feature importance is a significant aspect of explaining data-based models. Besides explaining the model itself, an equally relevant question is which features are impor…