1 citations · 1 across the 8 of their papers we have counts for
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Active Learning Driven Materials Discovery for Low Thermal Conductivity Rare-Earth Pyrochlore for Thermal Barrier Coatings
Amiya Chowdhury, Acacio Rincon Romero, Grazziela Figueredo +1
High-Entropy/multicomponent rare-earth oxides (HECs and MCCs) show promise as alternative materials for thermal barrier coatings (TBC) with the ability to tailor properties based o…
Placental contractions in uncomplicated pregnancies
Louise Dewick, Amy L Turnbull, Kate F Walker +11
In 2020 we first described placental contractions, and we have now undertaken a study to characterise them and seek features that might automatically separate them from uterine con…
Helix 1.0: An Open-Source Framework for Reproducible and Interpretable Machine Learning on Tabular Scientific Data
Eduardo Aguilar-Bejarano, Daniel Lea, Karthikeyan Sivakumar +8
Helix is an open-source, extensible, Python-based software framework to facilitate reproducible and interpretable machine learning workflows for tabular data. It addresses the grow…
A Unified Framework for Semi-Supervised Image Segmentation and Registration
Ruizhe Li, Grazziela Figueredo, Dorothee Auer +3
Semi-supervised learning, which leverages both annotated and unannotated data, is an efficient approach for medical image segmentation, where obtaining annotations for the whole da…