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Found 7 papers, 4 papers with code
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
In today's digital age, Convolutional Neural Networks (CNNs), a subset of Deep Learning (DL), are widely used for various computer vision tasks such as image classification, object detection, and image segmentation.
Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks
These findings underscore the efficacy of the proposed loss functions in dynamic network modeling.
A Novel Experts Advice Aggregation Framework Using Deep Reinforcement Learning for Portfolio Management
We have proposed a new method using experts signals and historical price data to feed into our reinforcement learning framework.
Multi-View Approach to Suggest Moderation Actions in Community Question Answering Sites
Our results clearly demonstrate the high influence of our feature generation components on the overall success of the classifier.
RPS: Portfolio Asset Selection using Graph based Representation Learning
Portfolio optimization is one of the essential fields of focus in finance.
Under the Skin of Foundation NFT Auctions
Non Fungible Tokens (NFTs) have gained a solid foothold within the crypto community, and substantial amounts of money have been allocated to their trades.
Predicting Subjective Features of Questions of QA Websites using BERT
Community Question-Answering websites, such as StackOverflow and Quora, expect users to follow specific guidelines in order to maintain content quality.
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