Abstract: A typical semi-supervised learning-based scheme is based on training a single model for labeled data. For unlabeled data, it uses the pseudo-labeling method to obtain labels. However, the ...
Abstract: This paper proposes combining deep neural network classifiers while simultaneously optimizing the networks. The proposed combination scheme enhances the accuracy of each classifier, which, ...
Manuscript: Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience Pre-print: Simple Behavioral Analysis (SimBA) – an open source toolkit for ...
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