To overcome these problems, in this paper a metaheuristics-based lightweight deep learning network (MLNet) is proposed. Initially, the hyper-parameters tuning problem of convolutional neural network ...

In this study, we developed a multi‐layered network expansion (MLnet) model to predict protein modifiers that are common to a group of diseases and, therefore, may have broader pathophysiological ...

The overall structure of the MLNet model roughly consists of several components (shown in Figure 2): image feature extraction, text embedding, multimodal fusion embedding, and label prediction. We ...