14 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.AI2024★ 2 cited
Large Language Models are Interpretable Learners
Ruochen Wang, Si Si, Felix Yu +3
The trade-off between expressiveness and interpretability remains a core challenge when building human-centric predictive models for classification and decision-making. While symbo…
cs.LG2018★ 14 cited
Cost-Sensitive Learning for Predictive Maintenance
Stephan Spiegel, Fabian Mueller, Dorothea Weismann +1
In predictive maintenance, model performance is usually assessed by means of precision, recall, and F1-score. However, employing the model with best performance, e.g. highest F1-sc…