AI Engineering for Transfer Learning

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

According to Chat-GPT, transfer learning involves taking a pre-trained model (trained on a large dataset) and fine-tuning it for a specific task or domain with a smaller dataset. This is helpful for tasks with limited labeled data.
Examples: using a pre-trained image classifier (e.g., ResNet) for a specific application like medical imaging.

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Publications will be added soon…

Thank you for your understanding.

Publications will be added soon…

Thank you for your understanding.