Search Results for author: Rui Seabra

Found 3 papers, 1 papers with code

Inferring the Graph of Networked Dynamical Systems under Partial Observability and Spatially Colored Noise

no code implementations18 Dec 2023 Augusto Santos, Diogo Rente, Rui Seabra, José M. F. Moura

In a Networked Dynamical System (NDS), each node is a system whose dynamics are coupled with the dynamics of neighboring nodes.

Time Series

Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise

1 code implementation10 Dec 2023 Augusto Santos, Diogo Rente, Rui Seabra, José M. F. Moura

To address the challenge of noise correlation and partial observability, we assign to each pair of nodes a feature vector computed from the time series data of observed nodes.

Causal Inference Time Series

Harnessing the Benefits of Open Electronics in Science

no code implementations30 Jun 2021 Michael Oellermann, Jolle W. Jolles, Diego Ortiz, Rui Seabra, Tobias Wenzel, Hannah Wilson, Richelle Tanner

Freely and openly shared low-cost electronic applications, known as open electronics, have sparked a new open-source movement, with much un-tapped potential to advance scientific research.

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