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DeepRepViz: Identifying Confounders in Deep Learning Model Predictions
In conclusion, the DeepRepViz framework provides a systematic approach to test for potential confounders such as age, sex, and imaging artifacts and improves the transparency of DL models for neuroimaging studies.
The Utility of Discourse Parsing Features for Predicting Argumentation Structure
Research on argumentation mining from text has frequently discussed relationships to discourse parsing, but few empirical results are available so far.
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