Developing a Hybrid Data-Driven, Mechanistic Virtual Flow Meter - a Case Study. - Mathilde Hotvedt; Bjarne A. Grimstad; Lars Imsland (CoRR, 2020)

Identifiability and interpretability of hybrid, gray-box models. - Mathilde Hotvedt; Bjarne A. Grimstad; Lars Imsland (CoRR, 2020)

Bayesian neural networks for virtual flow metering: An empirical study. - Bjarne A. Grimstad; Mathilde Hotvedt; Anders T. Sandnes; Odd Kolbjørnsen; Lars Struen Imsland (Appl. Soft Comput., 2021)

On gray-box modeling for virtual flow metering. - Mathilde Hotvedt; Bjarne A. Grimstad; Dag Ljungquist; Lars Imsland (CoRR, 2021)

When is gray-box modeling advantageous for virtual flow metering? - Mathilde Hotvedt; Bjarne A. Grimstad; Dag Ljungquist; Lars Imsland (CoRR, 2021)

Passive learning to address nonstationarity in virtual flow metering applications. - Mathilde Hotvedt; Bjarne A. Grimstad; Lars Struen Imsland (Expert Syst. Appl., 2022)

On a hybrid approach to model learning applied to virtual flow metering. - Mathilde Hotvedt (2022)