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	Predicting continuum breakdown with deep neural networks 期刊论文 JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 489, 页码: 112278 作者: Xiao TB(肖天白); Schotthoefer, Steffen; Frank, Martin 收藏 \| 浏览/下载：14/0 \| 提交时间：2023/09/05 Computational fluid dynamics Kinetic theory Boltzmann equation Multi-scale method Deep learning
	Medical lesion segmentation by combining multimodal images with modality weighted UNet 期刊论文 MEDICAL PHYSICS, 2022 作者: Zhu, Xiner; Wu, Yichao; Hu, Haoji; Zhuang, Xianwei; Yao, Jincao 收藏 \| 浏览/下载：25/0 \| 提交时间：2022/05/16 attention deep neural networks medical image segmentation multimodality fusion
	RVFace: Reliable Vector Guided Softmax Loss for Face Recognition 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2337-2351 作者: Wang, Xiaobo; Wang, Shuo; Liang, Yanyan; Gu, Liang; Lei, Zhen 收藏 \| 浏览/下载：11/0 \| 提交时间：2022/06/06 Deep face recognition noisy labels detection margin-based softmax loss mining-based softmax loss discriminative feature learning
	Deep Neural Network Self-Distillation Exploiting Data Representation Invariance 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 257-269 作者: Xu, Ting-Bing; Liu, Cheng-Lin 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/02/16 Training Nonlinear distortion Data models Neural networks Knowledge engineering Network architecture Generalization error network compression representation invariance self-distillation (SD)
	Deep InterBoost networks for small-sample image classification 期刊论文 NEUROCOMPUTING, 2021, 卷号: 456, 页码: 492-503 作者: Li, Xiaoxu; Chang, Dongliang; Ma, Zhanyu; Tan, Zheng-Hua; Xue, Jing-Hao 收藏 \| 浏览/下载：6/0 \| 提交时间：2021/10/14 Ensemble learning Deep neural network Small-sample image classification Overfitting
	Semi-Supervised Convolutional Long Short-Term Memory Neural Networks for Time Series Land Cover Classification 期刊论文 REMOTE SENSING, 2021, 卷号: 13, 期号: 17, 页码: 18 作者: Shen, Jing; Tao, Chao; Qi, Ji; Wang, Hao 收藏 \| 浏览/下载：51/0 \| 提交时间：2021/11/05 image classification Long Short-Term Memory neural network (LSTM) remote sensing semi-supervised learning time series analysis
	Incremental Concept Learning via Online Generative Memory Recall 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3206-3216 作者: Li, Huaiyu; Dong, Weiming; Hu, Bao-Gang 收藏 \| 浏览/下载：37/0 \| 提交时间：2021/08/15 Task analysis Learning systems Neural networks Feature extraction Visualization Knowledge engineering Training Catastrophic forgetting continual learning generative adversarial networks (GANs)
	DeepDigest: Prediction of Protein Proteolytic Digestion with Deep Learning 期刊论文 ANALYTICAL CHEMISTRY, 2021, 卷号: 93, 期号: 15, 页码: 6094-6103 作者: Yang, Jinghan; Gao, Zhiqiang; Ren, Xiuhan; Sheng, Jie; Xu, Ping 收藏 \| 浏览/下载：11/0 \| 提交时间：2021/10/26
	Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者: Liu, Yixin; Li, Zhao; Pan, Shirui; Gong, Chen; Zhou, Chuan 收藏 \| 浏览/下载：4/0 \| 提交时间：2022/04/02 Anomaly detection Task analysis Graph neural networks Unsupervised learning Predictive models Pattern matching Training Anomaly detection attributed networks contrastive self-supervised learning graph neural networks (GNNs) unsupervised learning
	Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者: Wang, Guanan; Hu, Qinghao; Yang, Yang; Cheng, Jian; Hou, Zeng-Guang 收藏 \| 浏览/下载：39/0 \| 提交时间：2022/01/27 Data models Semantics Force Computational modeling Hash functions Binary codes Training data Adversarial learning (AL) deep learning hashing

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