Search Results - "Wei, Shen"

SeqKit: A Cross-Platform and Ultrafast Toolkit for FASTA/Q File Manipulation by Shen, Wei, Le, Shuai, Li, Yan, Hu, Fuquan

“…FASTA and FASTQ are basic and ubiquitous formats for storing nucleotide and protein sequences. Common manipulations of FASTA/Q file include converting,…”
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Fusion protein linkers: Property, design and functionality by Chen, Xiaoying, Zaro, Jennica L., Shen, Wei-Chiang

“…As an indispensable component of recombinant fusion proteins, linkers have shown increasing importance in the construction of stable, bioactive fusion…”
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Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions by Shen, Wei, Wang, Jianyong, Han, Jiawei

“…The large number of potential applications from bridging web data with knowledge bases have led to an increase in the entity linking research. Entity linking…”
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Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples by Wei, Xiu-Shen, Wang, Peng, Liu, Lingqiao, Shen, Chunhua, Wu, Jianxin

“…Humans are capable of learning a new fine-grained concept with very little supervision, e.g., few exemplary images for a species of bird, yet our best deep…”
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DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks by Wang, Junpeng, Gou, Liang, Shen, Han-Wei, Yang, Hao

“…Deep Q-Network (DQN), as one type of deep reinforcement learning model, targets to train an intelligent agent that acquires optimal actions while interacting…”
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Fine-Grained Image Analysis With Deep Learning: A Survey by Wei, Xiu-Shen, Song, Yi-Zhe, Aodha, Oisin Mac, Wu, Jianxin, Peng, Yuxin, Tang, Jinhui, Yang, Jian, Belongie, Serge

“…Fine-grained image analysis (FGIA) is a longstanding and fundamental problem in computer vision and pattern recognition, and underpins a diverse set of…”
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Chinese business at the dawn of its domestic emissions trading scheme: incentives and barriers to participation in carbon trading by Shen, Wei

“…This article explores the incentives and challenges for Chinese business companies in participating in carbon emissions trading schemes (ETSs). Based on…”
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Osteocyte-Related Cytokines Regulate Osteoclast Formation and Bone Resorption by Kitaura, Hideki, Marahleh, Aseel, Ohori, Fumitoshi, Noguchi, Takahiro, Shen, Wei-Ren, Qi, Jiawei, Nara, Yasuhiko, Pramusita, Adya, Kinjo, Ria, Mizoguchi, Itaru

“…The process of bone remodeling is the result of the regulated balance between bone cell populations, namely bone-forming osteoblasts, bone-resorbing…”
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Scalable Algorithms for Multi-Instance Learning by Wei, Xiu-Shen, Wu, Jianxin, Zhou, Zhi-Hua

“…Multi-instance learning (MIL) has been widely applied to diverse applications involving complicated data objects, such as images and genes. However, most…”
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GANViz: A Visual Analytics Approach to Understand the Adversarial Game by Wang, Junpeng, Gou, Liang, Yang, Hao, Shen, Han-Wei

“…Generative models bear promising implications to learn data representations in an unsupervised fashion with deep learning. Generative Adversarial Nets (GAN) is…”
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Visualization and Visual Analysis of Ensemble Data: A Survey by Wang, Junpeng, Hazarika, Subhashis, Li, Cheng, Shen, Han-Wei

“…Over the last decade, ensemble visualization has witnessed a significant development due to the wide availability of ensemble data, and the increasing…”
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Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization by Wei, Xiu-Shen, Xie, Chen-Wei, Wu, Jianxin, Shen, Chunhua

“…•To the best of our knowledge, Mask-CNN is the first end-to-end model that selects deep convolutional descriptors for object recognition, especially for…”
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Evaluating the diagnostic performance of a large language model‐powered chatbot for providing immunohistochemistry recommendations in dermatopathology by McCrary, Myles R., Galambus, Justine, Chen, Wei‐Shen

“…Background Large language model (LLM)‐powered chatbots such as ChatGPT have numerous applications. However, their effectiveness in dermatopathology has not…”
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Silver Nanoparticles: Synthesis, Characterization, Properties, Applications, and Therapeutic Approaches by Zhang, Xi-Feng, Liu, Zhi-Guo, Shen, Wei, Gurunathan, Sangiliyandi

“…Recent advances in nanoscience and nanotechnology radically changed the way we diagnose, treat, and prevent various diseases in all aspects of human life…”
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Post stroke depression and risk of stroke recurrence and mortality: A systematic review and meta-analysis by Cai, Wa, Mueller, Christoph, Li, Yi-Jing, Shen, Wei-Dong, Stewart, Robert

“…Post stroke depression is a significant neuropsychiatric manifestation, predicting a range of poor outcomes. There are several studies investigating the…”
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DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation by Wang, Junpeng, Gou, Liang, Zhang, Wei, Yang, Hao, Shen, Han-Wei

“…Deep Neural Networks (DNNs) have been extensively used in multiple disciplines due to their superior performance. However, in most cases, DNNs are considered…”
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Spatiotemporal differentiation of urban-rural income disparity and its driving force in the Yangtze River Economic Belt during 2000-2017 by Chen, Lingling, Shen, Wei

“…The income imbalance between urban and rural areas has seriously affected social fairness and justice and has become a key factor restricting the sustainable…”
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Corticosteroids as Adjunctive Therapy in the Treatment of Influenza: An Updated Cochrane Systematic Review and Meta-analysis by Lansbury, Louise E, Rodrigo, Chamira, Leonardi-Bee, Jo, Nguyen-Van-Tam, Jonathan, Shen Lim, Wei

“…OBJECTIVES:Corticosteroids may be beneficial in sepsis, but uncertainty remains over their effects in severe influenza. This systematic review updates the…”
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Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval by Wei, Xiu-Shen, Luo, Jian-Hao, Wu, Jianxin, Zhou, Zhi-Hua

“…Deep convolutional neural network models pre-trained for the ImageNet classification task have been successfully adopted to tasks in other domains, such as…”
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Uncertainty Visualization Using Copula-Based Analysis in Mixed Distribution Models by Hazarika, Subhashis, Biswas, Ayan, Han-Wei Shen

“…Distributions are often used to model uncertainty in many scientific datasets. To preserve the correlation among the spatially sampled grid locations in the…”
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