Laura E. Brown
About
Laura E. Brown has authored 21 papers that have received a total of 1.2k indexed citations.
This includes 11 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 4 papers in Information Systems. The topics of these papers are Bayesian Modeling and Causal Inference (6 papers), Machine Learning and Algorithms (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Laura E. Brown is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Machine Learning and Algorithms (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers) and collaborates with scholars based in United States, Greece and Canada. Laura E. Brown's co-authors include Ioannis Tsamardinos, Constantin Aliferis, Zhenlin Wang, Wei Kuang and Joshua M. Pearce and has published in prestigious journals such as Renewable Energy, Environmental Research and IEEE Transactions on Industry Applications
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