In cases where we do not account for such information, we do not need to generate such dictionaries. For example, we can build a dictionary for the contexts/samples dictionary by using the metadata in the AnnData object. In this example dataset, we can find samples in the column “sample_...
To alleviate the shortcomings intrinsic to pure unsupervised approaches, the combined method we propose makes use of an optimized word embedding model to create dictionaries of specialized clinical vocabulary semi-automatically (step 4 in Fig.1). Using a vector distance measure such as cosine, relevan...
Features such as horror, aggression, and work are derived from the LIWC, Laswell, and GI dictionaries, providing a comprehensive view of the various topics prevalent in the text. An overview of these feature sets, along with some examples of each, is given in Figure 1. The proposed ...
2×2 - - - - Stride - 1 2 1 2 - - - - Input Size 224 × 224 × 3 224 × 224 × 3 112 × 112 × 64 112 × 112 × 64 56 × 56 × 128 56 × 56 × 128 128 × 56 × 56 256 In this network, two convolutional and pooling layers are designed to extract the features....