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Shuiwang Ji

Showing results (31-40 of 71) with videos related to

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Biopolymers|June 15, 2012
A machine learning approach for the identification of protein secondary structure elements from electron cryo-microscopy density mapsDong Si, Shuiwang Ji, Kamal Al Nasr, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 6, 2020
Interpreting Image Classifiers by Generating Discrete MasksHao Yuan, Lei Cai, Xia Hu, et al.
Arxiv|September 10, 2024
Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language ModelsCong Fu, Xiner Li, Blake Olson, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 27, 2022
Self-Supervised Learning of Graph Neural Networks: A Unified ReviewYaochen Xie, Zhao Xu, Jingtun Zhang, et al.
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|May 18, 2018
Deep Convolutional Neural Networks for Detecting Secondary Structures in Protein Density Maps from Cryo-Electron MicroscopyRongjian Li, Dong Si, Tao Zeng, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 6, 2021
Deep Low-Shot Learning for Biological Image Classification and Visualization From Limited Training SamplesLei Cai, Zhengyang Wang, Rob Kulathinal, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 14, 2017
Feature Selection Based on Structured Sparsity: A Comprehensive StudyJie Gui, Zhenan Sun, Shuiwang Ji, et al.
BMC Bioinformatics|May 8, 2015
Deep convolutional neural networks for annotating gene expression patterns in the mouse brainTao Zeng, Rongjian Li, Ravi Mukkamala, et al.
Bioinformatics (Oxford, England)|July 18, 2008
Automated annotation of Drosophila gene expression patterns using a controlled vocabularyShuiwang Ji, Liang Sun, Rong Jin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|February 18, 2022
Towards Improved and Interpretable Deep Metric Learning via Attentive GroupingXinyi Xu, Zhengyang Wang, Cheng Deng, et al.
Pageof 8

Showing results (31-40 of 71) with videos related to

Sort By:
Pageof 8
Biopolymers|June 15, 2012
A machine learning approach for the identification of protein secondary structure elements from electron cryo-microscopy density mapsDong Si, Shuiwang Ji, Kamal Al Nasr, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 6, 2020
Interpreting Image Classifiers by Generating Discrete MasksHao Yuan, Lei Cai, Xia Hu, et al.
Arxiv|September 10, 2024
Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language ModelsCong Fu, Xiner Li, Blake Olson, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 27, 2022
Self-Supervised Learning of Graph Neural Networks: A Unified ReviewYaochen Xie, Zhao Xu, Jingtun Zhang, et al.
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|May 18, 2018
Deep Convolutional Neural Networks for Detecting Secondary Structures in Protein Density Maps from Cryo-Electron MicroscopyRongjian Li, Dong Si, Tao Zeng, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 6, 2021
Deep Low-Shot Learning for Biological Image Classification and Visualization From Limited Training SamplesLei Cai, Zhengyang Wang, Rob Kulathinal, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 14, 2017
Feature Selection Based on Structured Sparsity: A Comprehensive StudyJie Gui, Zhenan Sun, Shuiwang Ji, et al.
BMC Bioinformatics|May 8, 2015
Deep convolutional neural networks for annotating gene expression patterns in the mouse brainTao Zeng, Rongjian Li, Ravi Mukkamala, et al.
Bioinformatics (Oxford, England)|July 18, 2008
Automated annotation of Drosophila gene expression patterns using a controlled vocabularyShuiwang Ji, Liang Sun, Rong Jin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|February 18, 2022
Towards Improved and Interpretable Deep Metric Learning via Attentive GroupingXinyi Xu, Zhengyang Wang, Cheng Deng, et al.
Pageof 8