Results 231 to 240 of about 552,282 (301)

What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks

, 2015
Patrick W. Gallagher, Shuai Tang, Zhuowen Tu   +2 more
openalex   +2 more sources

B‐EPIC: A Transformer‐Based Language Model for Decoding B Cell Immunodominance Patterns

Advanced Science, EarlyView.
B‐Epic: Achieving high‐accuracy B cell epitope prediction through Transformer architecture. Comprehensive validation demonstrates B‐Epic's robust performance across diverse datasets. B‐Epic facilitates vaccine development for H. pylori and EBV, addressing critical public health challenges.
Jun‐Ze Liang, Youtao Wang, Cong Sun, Tao Liu, Zengfeng Wu, Lipeng Chen, Lina Chen, Penglin Li, Zhengkang Li, Cangui Zhang, Bingyun Lu, Ye Chen, Bing Gu, Qian Zhong, Xin Wei Wang, Mu‐Sheng Zeng, Jinping Liu   +16 more
wiley   +1 more source

Sign language recognition based on dual-channel star-attention convolutional neural network. [PDF]

Sci Rep
Qin J, Wang M.
europepmc   +1 more source

Convolutional Neural Network-based System for Vehicle Front-Side Detection

, 2015
Young-Kyu Park, Je-Kang Park, Han-Ik On, Dong‐Joong Kang   +3 more
openalex   +2 more sources

SpaBatch: Deep Learning‐Based Cross‐Slice Integration and 3D Spatial Domain Identification in Spatial Transcriptomics

Advanced Science, EarlyView.
SpaBatch is an end‐to‐end multi‐slice spatial transcriptomics data integration framework. It simultaneously performs embedding learning, spatial feature denoising and reconstruction, batch effect correction, and spatial domain optimization, effectively correcting batch effects and achieving accurate 3D spatial domain identification.
Jinyun Niu, Donghai Fang, Jinyu Chen, Yi Xiong, Juan Liu, Wenwen Min   +5 more
wiley   +1 more source

Auto-segmentation of cerebral cavernous malformations using a convolutional neural network. [PDF]

BMC Med Imaging
Chou CJ, Yang HC, Lee CC, Jiang ZH, Chen CJ, Wu HM, Lin CF, Lai IC, Peng SJ.   +8 more
europepmc   +1 more source

Instant Learning: Parallel Deep Neural Networks and Convolutional Bootstrapping

, 2015
Andrew Simpson
openalex   +2 more sources

A Generative Framework for Predicting Antiferromagnets

Advanced Science, EarlyView.
This work establishes a design paradigm for antiferromagnets (AFM), accelerating next‐generation spintronic material discovery. By integrating a crystal diffusion variational autoencoder with data augmentation, crystal graph convolutional neural networks, and a genetic algorithm, latent vectors are updated toward AFM property spaces, expanding ...
Jianhu Gong, Zhengming Zhang, Zhenyu Fan, Hanghang Fu, Hongchang Wang, Dunhui Wang   +5 more
wiley   +1 more source

Breast cancer pathology image recognition based on convolutional neural network. [PDF]

PLoS One
Fang W, Tang S, Yan D, Dai X, Zhang W, Xiong J.   +5 more
europepmc   +1 more source