… model’s performance will not good enough with poor explainability. In this paper, the proposed
two-stage deep transfer learning … , a novel corresponding two-stage model for effective …

… 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 …

… medicine books, including case records books (case records … machine learning models and
deep learning models. We … five elements (including generation, restriction, subjugation, and …

… brid ontology-XLNet transfer learning model for sentencelevel … evaluating the features and
generating the semantic sense … This paper presents a novel approach for sentiment analysis, …

… Then, we applied transfer learning to fine-tune the model … -1 model, resulting in the
second-generation model, COVIDVS-2. … that our model can successfully discover novel antiviral …

… -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 (…

… 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 …

… 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 …

… medical support when they notice mucormycosis symptoms. This paper proposes a novel
ensemble deep-learning model … compared to the traditional deep learning models. An image …