… Chinese herbal medicines were included in a unified … the deeper prescriptions construction
models on ImageNet2012 [49… of prescription generation, than typical double pipeline deeper …

… transfer learning model for the Twitter ADR NER task. Our model applies adversarial learning
to transfer … will dominate the training process of the model. Therefore, a scale parameter α …

… technique by utilizing the popular conventional convolution … Transfer learning mainly deals
with training a model on one … For generating high-performance training and validation of …

… We found that these models can understand medical images… This information was used to
establish model creation … , exploring, and combating the novel virus through innovative DL …

… -level representations that enable transfer learning (eg, BERT, … developed models with
several traditional machine learning, … used in this study was pre-trained using a corpus of books (…

… With the aim of generating this hierarchical structure, we firstly … to train the models in the
traditional ML pipelines analyzed in … In contrast to this idea, our novel methodology proposes …

… non-responders using traditional machine learning methods … deep Transfer Learning (TL)
strategy so that CNN models have … utilize keras methods for model creation and training. These …

… knowledge sources for the generation of appropriate clinical … In recent months, deep transfer
learning models such as … the book which organizes diseases by different medical specialties…

… On the basis of this principle, traditional machine learning … to integrate the feature creation
and prediction stages into a … The transfer layer will output a vector of transfer value which …

… With the advent of next-generation sequencing technology, … with herbs or ingredients in
multiple cell types or animal models… For the two novel features added in HERB, experiments and …