A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

Abstract: With the rapid development of deep learning technology, as one of the core tasks in the field of computer vision, the accuracy of image classification has been significantly improved.

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

AI for Science Institute (CUAISci), Cornell University, Ithaca, New York 14853, United States Systems Engineering, College of Engineering, Cornell University, Ithaca, New York 14853, United States AI ...

Introduction: Rapid and scalable classification of SARS-CoV-2 genomes from spike-gene sequences can support real-time genomic surveillance in contexts where whole-genome data or high-end computing ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...

Abstract: In hyperspectral image (HSI) classification, each pixel is assigned a land cover type. In recent years, convolutional neural network (CNN)-based HSI classification methods have significantly ...

1 Chongqing University-University of Cincinnati Joint Co-op Institute, Chongqing University, Chongqing, China 2 College of Computer Science, Sichuan University, Chengdu, Sichuan, China This study ...