WiMi also plans to combine the attentional autoencoder network with other advanced recommendation technologies to further enhance recommendation effectiveness.

On the basis of the extracted cancer risk variables, a deep learning model was developed for BRISK to aid in predicting malignancy. Figure 2 illustrates a schematic diagram of the model, which ...

The team proposed a novel representation learning method based on serial autoencoders for personalized recommendation.

WiMi's attentional autoencoder network is a technical framework for efficient recommendation systems that combine autoencoders and attention mechanisms to improve the accuracy and efficiency of ...

Deep learning is utilized in WiMi's deep learning-based multi-view hybrid recommendation system for feature learning and recommendation model construction.

Facebook is open-sourcing DLRM, a deep learning-based recommendation model that achieves state-of-the-art results in personalization.

Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...

The autoencoder network model for HIV classification, proposed in this paper, thus outperforms the conventional feedforward neural network models and is a much better classifier. Current Science is a ...