output
20142026
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

74 papers

cs.HC2026★ 4 cited

"Piecing Data Connections Together Like a Puzzle": Effects of Increasing Task Complexity on the Effectiveness of Data Storytelling Enhanced Visualisations

Mikaela Elizabeth Milesi, Paola Mejia-Domenzain, Laura Brandl +6

The emerging concept of data storytelling (DS) suggests that enhancing visualisations with annotations and narratives can make complex data more insightful than conventional visual…

econ.EM2026

Regression with Observational Multilayered Network Data

Juan Estrada, Kim Huynh, David Jacho-Chavez +1

A novel method to estimate social effect coefficients in the popular so-called linear-in-means regression model in the Social Sciences is presented here that utilizes non-experimen…

econ.EM2026★ 1 cited

Estimating Social Effects with Randomized and Observational Network Data

TszKin Julian Chan, Juan Estrada, Kim Huynh +3

This paper introduces an innovative approach to identifying and estimating the parameters of interest in the widely recognized linear-in-means regression model under conditions whe…

cs.SE2026★ 1 cited

From Reflection to Repair: A Scoping Review of Dataset Documentation Tools

Pedro Reynolds-Cuéllar, Marisol Wong-Villacres, Adriana Alvarado Garcia +1

Dataset documentation is widely recognized as essential for the responsible development of automated systems. Despite growing efforts to support documentation through different kin…

cs.CV2026★ 1 cited

Multi-encoder ConvNeXt Network with Smooth Attentional Feature Fusion for Multispectral Semantic Segmentation

Leo Thomas Ramos, Angel D. Sappa

This work proposes MeCSAFNet, a multi-branch encoder-decoder architecture for land cover segmentation in multispectral imagery. The model separately processes visible and non-visib…

physics.flu-dyn2026★ 1 cited

Assessing engineering wake models against operational data: insights from the Lillgrund wind farm wake steering campaign

Diego Siguenza-Alvarado, Matthew Harrison, Mohammadreza Mohammadi +4

Validating engineering wake models under real-world operational conditions is essential for improving wind farm performance predictions. This study uses a unique dataset from the L…