Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated ...
The research team introduced an enhanced SED method based on semi-supervised learning (SSL), incorporating Enhanced Feature ...
Overview: The Java ecosystem now offers a wide variety of ML frameworks - from lightweight toolkits for data mining to ...
This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...
Abstract: With the rapid proliferation of crowd mobility data produced by ubiquitous mobile devices equipped with spatial positioning modules, deep neural networks (DNNs) have become widely applied in ...
Abstract: Accurate and early breast cancer detection is critical for improving patient outcomes. In this study, we propose PatchCascade-ViT, a novel self-supervised Vision Transformer (ViT) framework ...
Academy members will be asked to pick from 201 documentary features, 86 international features and 35 animated features. By Scott Feinberg Executive Editor of Awards The documentary feature and ...
1 School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China 2 College of Information Science and Technology, Nanjing Forestry University, Nanjing, China ...
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