… The key search terms included a combination of the three major themes: ‘deep learning’, ‘…
deep learning models for clinical outcome prediction or diagnosis using a combination of …

… In Section 3, we describe the achievements of deep learning schemes in various computer
… be found about combining shallow methods and deep learning frameworks [35], ie take a …

… that a novel combination of classical parallel imaging techniques with deep neural networks
… First, we present a brief introduction to parallel MR imaging and review some deep learning …

… However, the effect of deep learning coupling with ensemble learning models in flood … three
deep learning coupling with ensemble learning models by combining the deep learning (DL) …

… the extracted fold-specific features by deep learning. For the purpose of extracting the fold-specific
features of different folds by deep learning techniques, we collected 19 772 proteins …

… The idea of combining CRFs and DNNs have achieved state-of-the-art results in a number …
literature on combining the modeling power of CRFs with the representation-learning ability of …

… This paper, for the first time, proposes a bespoke gated recurrent neural network combining
… The proposed algorithm is implemented on the Theano deep learning platform and tested …

… can be considered in deep learning model by combining other fusion … combination or
cross-model combination (model can be CNN, RNN, LSTM, RBM, etc.) to realize the deep learning …

… The gains of combining model-based optimization and deep learning are demonstrated
using experimental results in various applications, ranging from biomedical imaging to digital …

… This paper presents a number of models that use a combination of automatic extraction and
handcrafted separation of features along with a group of analyses it had trained accordingly. …