14 datasets found

The dataset used in this study is a large-scale fMRI dataset acquired from 499 healthy adults. The dataset contains task-evoked fMRI data, which is preprocessed and registered...

The dataset used in the paper is a combination of logged data and randomized experiment data.

This paper proposes a novel continuous transfer learning setting with a time evolving target domain.

The dataset is used for transfer learning and feature extraction.

SHiFT is a search engine for transfer learning that allows users to efficiently and flexibly search for pre-trained models.

The dataset used in the paper is a grid world navigation task with four actions: up, down, left, or right. Transitions are stochastic and with a 5% probability the agent moves...

The dataset used in this paper for one-shot transfer learning of physics-informed neural networks.

Heritage-Health-Transfer: A modified version of the Heritage Health dataset, focusing on transfer tasks.

ACS-Transfer: A modified version of the ACS dataset, focusing on transfer tasks.

A dataset used for estimating Fusarium head blight severity based on transfer learning.

This study proposes a framework for developing a novel deep learning-based map-matching model in the limited ground-truth data environment.

The dataset used for short-term wind speed prediction using transfer learning.

The dataset used for transfer learning tasks.

Transfer Learning is concerned with the application of knowledge gained from solving a problem to a different but related problem domain. In this paper, we propose a method and...