10 天前 - … outperforms state-of-the-art deep learning methods … deep learning for recommender
systems,” in Proceedings of the 1st workshop on deep learning for recommender systems…

10 天前 - … with other state-of-the-art-review-aided … review of existing methods in recommender
systems, covering knowledge transfer methods, deep learning-based recommender systems…

13 天前 - … This study reviewed state-of-the-art articles to understand … machine learning
models, particularly natural language pocessing, to develop recommender systems to recommend …

28 天前 - … The first two categories mainly rely on the traditional machine learning, whereas
the last one exploits the state-of-theart deep learning models. At the end, the standard methods …

31 天前 - … International recommendations mandate panel- based biomarker testing for all
advanced cases of NSCLC. However, analogous to uptake of many other state of the art cancer …

42 天前 - … state-of-the-art frameworks related to deepfakes to understand how emerging
machine learning and deep learning … Finally, we provide policy recommendations based on …

47 天前 - … a comparative analysis of several state-of-the-art hybrid recommendation systems
in terms of … recommendation systems, such as deep learning-based models, context-aware …

51 天前 - … deep-learning models that can be deployed on resource-constrained devices. While
a few surveys … This survey reviews the state-of-the-art efficient deep learning approaches …

66 天前 - … Recommender systems address this by using deep … rating predictions comparable
to state-of-theart technologies. … (NLP) algorithms and deep learning models provide valuable …

67 天前 - … Data extraction captured study characteristics, AI/machine learning methods, data
… review will provide an overview of stateof-the-art applications of AI and machine learning …