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检索条件"机构=Division of Computing and Software Systems"
66 条 记 录,以下是1-10 订阅
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Beyond current boundaries: Integrating deep learning and AlphaFold for enhanced protein structure prediction from low-resolution cryo-EM maps
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Computational Biology and Chemistry 2025年 119卷 108494页
作者: Xin Ma Dong Si Division of Computing and Software Systems University of Washington Bothell 18115 Campus Way NE Bothell 98011 WA USA
Constructing atomic models from cryo-electron microscopy (cryo-EM) maps is a crucial yet intricate task in structural biology. While advancements in deep learning, such as convolutional neural networks (CNNs) and grap... 详细信息
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Using DragPushing to Refine Concept Index for Text Categorization
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Journal of Computer Science & Technology 2006年 第4期21卷 592-596页
作者: 程学旗 谭松波 Lilian Tang Division of Intelligent Software Systems Institute of Computing Technology Chinese Academy of SciencesBeijing 100080 P.R. China Department of Computing University of Surrey U.K.
Concept index (CI) is a very fast and efficient feature extraction (FE) algorithm for text classification. The key approach in CI scheme is to express each document as a function of various concepts (centroids) ... 详细信息
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Chinese Landmark Recognition
Chinese Landmark Recognition
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2020 International Conference on computing, Networking and Communications, ICNC 2020
作者: Wu, Hao Chen, Min University of Washington Bothell Division of Computing and Software Systems School of STEM United States
Landmark recognition is a useful yet challenging task due to the lack of large annotated landmark datasets. Previous related work often neglects non-English speaking areas, such as Chinese landmarks. Tests using comme... 详细信息
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Interpretable Deep Learning Models With Concept Whitening Layers
Interpretable Deep Learning Models With Concept Whitening La...
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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
作者: Boddam, Megana Kim, Wooyoung University of Washington Bothell Division of Computing and Software Systems School of Stem BothellWA United States
Deep Learning models, such as convolutional neural networks (CNN), are hard to interpret due to their complex, nonlinear, and high-dimensional algorithms. We focused on interpreting CNNs for predicting Hepatocellular ... 详细信息
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Maintaining stream statistics over multiscale sliding windows
Maintaining stream statistics over multiscale sliding window...
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作者: Jiao, Yishan Institute of Computing Technology Chinese Academy of Sciences Division of Intelligent Software Systems Institute of Computing Technology Chinese Academy of Sciences Zhongguancun Beijing China
In this article, we propose a new multiscale sliding window model which differentiates data items in different time periods of the data stream, based on a reasonable monotonicity of resolution assumption. Our model, a... 详细信息
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BrainGrid+Workbench: High-performance/high-quality neural simulation
BrainGrid+Workbench: High-performance/high-quality neural si...
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2017 International Joint Conference on Neural Networks, IJCNN 2017
作者: Stiber, Michael Kawasaki, Fumitaka Davis, Delmar B. Asuncion, Hazeline U. Lee, Jewel Yun-Hsuan Boyer, Destiny Computing and Software Systems Division School of Science Technology Engineering and Mathematics University of Washington Bothell BothellWA98011 United States
Availability of affordable hardware that in effect enables desktop supercomputing has enabled more ambitious neural simulations driven by more complex software. However, this opportunity comes with costs, in terms of ... 详细信息
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software and data provenance as a basis for eScience workflow  17
Software and data provenance as a basis for eScience workflo...
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17th IEEE International Conference on eScience, eScience 2021
作者: Conquest, Joseph Stiber, Michael University of Washington Bothell Computing and Software Systems Division School of Science Technology Engineering and Mathematics BothellWA98011 United States
While tracking data and software provenance is necessary in eScience, and often implemented in scientific workflow management tools, such tools generally don't provide graphical UIs that use provenance to guide wo... 详细信息
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DeepTracer-Denoising: Deep Learning for 3D Electron Density Map Denoising
DeepTracer-Denoising: Deep Learning for 3D Electron Density ...
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2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
作者: Guan, Haowen Si, Dong New York University Center of Data Science New York City United States University of Washington Bothell Division of Computing and Software Systems Bothell United States
Cryo-electron microscopy (Cryo-EM) is widely used in molecular structure determination and drug discovery. Experimental cryo-EM images suffer from the noises introduced by electron beam dose and sample preparation. Al... 详细信息
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iCare - An AI - Powered Virtual Assistant for Mental Health
iCare - An AI - Powered Virtual Assistant for Mental Health
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IEEE International Conference on Healthcare Informatics (ICHI)
作者: Remya Mavila Sugam Jaiswal Raghav Naswa Weichao Yuwen Bill Erdly Dong Si Computing and Software Systems Division University of Washington Bothell USA
Currently, mental health issues are increasing among individuals. Sharing feelings with someone who cares plays a key role in resolving these issues. Virtual assistants that can simulate human conversations using arti... 详细信息
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Identification of Essential Genes with NemoProfile and Various Machine Learning Models  16th
Identification of Essential Genes with NemoProfile and Vario...
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16th International Symposium on Bioinformatics Research and Applications, ISBRA 2020
作者: Wang, Yangxiao Kim, Wooyoung Division of Computing and Software Systems School of Science Technology Engineering and Mathematics University of Washington Bothell 18115 Campus Way NE BothellWA98011-8246 United States
Genes are sequences of nucleotide in DNA that encode proteins. Essential genes are a type of genes that are critical and indispensable for an organism’s survival. Many network-based algorithms have been developed to ... 详细信息
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