AI Engineering for Semi-Supervised Learning

In this section, publications about software engineering for artificial intelligence where specific reference is made to semi-supervised learning are listed.

According to Chat-GPT, semi-supervised learning is a mix of supervised and unsupervised learning, where the model is trained on a small amount of labeled data and a large amount of unlabeled data. This is useful when labeled data is scarce or expensive to obtain. Examples: image classification, text classification.

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Publications will be added soon…

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Publications will be added soon…

Thank you for your understanding.