Author

A. Barrett

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Open access Sep 2026

Ten rules to increase the usability of earth observation mission datasets

Publicly-funded Earth Observation (EO) missions present unprecedented challenges and opportunities for observing our changing planet and applying the knowledge gained to benefit society. As EO mission data continue to grow in volume and complexity, a paradigm shift in how we make that data available and engage data use...

J. Scheick, A. Barrett, Z. Fair et al. · Earth Science Informatics · 0 citations

#machine learning Preprint Sep 2026

Uncertainty-Aware Learning from Multi-Expert Interval Targets

Many machine learning (ML) applications rely on expert labels, and qualified experts may provide different but plausible interpretations of the same observation. Such variation across expert labels may reflect genuine disagreement or ambiguity rather than annotation error. When individual experts additionally report in...

Samira Alkaee Taleghan, Younghyun Koo, A. Barrett et al. · 0 citations

#machine learning Preprint Sep 2026

Multi-Label Proportion Learning for Sea-Ice Type Prediction

This paper proposes a two-module framework where first Multiple Instance Learning is used for water--ice classification, and then a multi-label proportion learning (MLPL) is introduced for ice-type composition prediction, and extends this framework with a multimodal model that integrates SAR imagery with AMSR2 brightne...

Samira Alkaee Taleghan, Younghyun Koo, A. Barrett et al. · 0 citations