most citedLeveraging Data Mining, Active Learning, and Domain Adaptation in a Multi-Stage, Machine Learning-Driven Approach for the Efficient Discovery of Advanced Acidic Oxygen Evolution Electrocatalysts

2 citations · 2 across the 2 of their papers we have counts for

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2 papers

cond-mat.mtrl-sci2024★ 2 cited

Leveraging Data Mining, Active Learning, and Domain Adaptation in a Multi-Stage, Machine Learning-Driven Approach for the Efficient Discovery of Advanced Acidic Oxygen Evolution Electrocatalysts

Rui Ding, Jianguo Liu, Kang Hua +5

Developing advanced catalysts for acidic oxygen evolution reaction (OER) is crucial for sustainable hydrogen production. This study introduces a novel, multi-stage machine learning…

cs.CL2024

Adaptive Data Augmentation for Aspect Sentiment Quad Prediction

Wenyuan Zhang, Xinghua Zhang, Shiyao Cui +3

Aspect sentiment quad prediction (ASQP) aims to predict the quad sentiment elements for a given sentence, which is a critical task in the field of aspect-based sentiment analysis.…