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A Deep Learning Based Data Fusion Method for Degradation Modeling and Prognostics
Wang, Feng, Du, Juan, Zhao, Yang, Tang, Tao, Shi, Jianjun
Published in IEEE transactions on reliability (01.06.2021)
Published in IEEE transactions on reliability (01.06.2021)
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Journal Article
Quantitative recommendation of fault diagnosis algorithms based on multi-order random graph convolution under case-learning paradigm
Lu, Chen, Zou, Xinyu, Sun, Lulu, Zhao, Zhengduo, Tao, Laifa, Ding, Yu, Ma, Jian
Published in Advanced engineering informatics (01.03.2025)
Published in Advanced engineering informatics (01.03.2025)
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Journal Article
Cox-Sage: enhancing Cox proportional hazards model with interpretable graph neural networks for cancer prognosis
Mao, Ruijun, Wan, Li, Zhou, Minghao, Li, Dongxi
Published in Briefings in bioinformatics (04.03.2025)
Published in Briefings in bioinformatics (04.03.2025)
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Journal Article
Topological Tumor Graphs: A Graph-Based Spatial Model to Infer Stromal Recruitment for Immunosuppression in Melanoma Histology
Failmezger, Henrik, Muralidhar, Sathya, Rullan, Antonio, de Andrea, Carlos E., Sahai, Erik, Yuan, Yinyin
Published in Cancer research (Chicago, Ill.) (01.03.2020)
Published in Cancer research (Chicago, Ill.) (01.03.2020)
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Journal Article
Prognostic Kalman Filter Based Bayesian Learning Model for Data Accuracy Prediction
Karthik, S., Singh Bhadoria, Robin, Gon Lee, Jeong, Kumar Sivaraman, Arun, Samanta, Sovan, Balasundaram, A., Kumar Chaurasia, Brijesh, Ashokkumar, S.
Published in Computers, materials & continua (2022)
Published in Computers, materials & continua (2022)
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Journal Article
A Generic Indirect Deep Learning Approach for Multisensor Degradation Modeling
Wang, Di, Liu, Kaibo, Zhang, Xi
Published in IEEE transactions on automation science and engineering (01.07.2022)
Published in IEEE transactions on automation science and engineering (01.07.2022)
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Journal Article
Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction
Pei, Hong, Si, Xiaosheng, Li, Tianmei, Zhang, Zhengxin, Lei, Yaguo
Published in IEEE transaction on neural networks and learning systems (01.12.2024)
Published in IEEE transaction on neural networks and learning systems (01.12.2024)
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Journal Article
Causal graph-based spatial–temporal attention network for RUL prediction of complex systems
Zheng, Shuwen, Liu, Jie, Chen, Yunxia, Fan, Yu, Xu, Dan
Published in Computers & industrial engineering (01.03.2025)
Published in Computers & industrial engineering (01.03.2025)
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Journal Article
Prediction and interpretation of cancer survival using graph convolution neural networks
Ramirez, Ricardo, Chiu, Yu-Chiao, Zhang, SongYao, Ramirez, Joshua, Chen, Yidong, Huang, Yufei, Jin, Yu-Fang
Published in Methods (San Diego, Calif.) (01.08.2021)
Published in Methods (San Diego, Calif.) (01.08.2021)
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Journal Article
FUNMarker: Fusion Network-Based Method to Identify Prognostic and Heterogeneous Breast Cancer Biomarkers
Li, Xingyi, Xiang, Ju, Wang, Jianxin, Li, Jinyan, Wu, Fang-Xiang, Li, Min
Published in IEEE/ACM transactions on computational biology and bioinformatics (01.11.2021)
Published in IEEE/ACM transactions on computational biology and bioinformatics (01.11.2021)
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Journal Article
Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual
Lei, Du, Pinaya, Walter H. L., Young, Jonathan, Amelsvoort, Therese, Marcelis, Machteld, Donohoe, Gary, Mothersill, David O., Corvin, Aiden, Vieira, Sandra, Huang, Xiaoqi, Lui, Su, Scarpazza, Cristina, Arango, Celso, Bullmore, Ed, Gong, Qiyong, McGuire, Philip, Mechelli, Andrea
Published in Human brain mapping (01.04.2020)
Published in Human brain mapping (01.04.2020)
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Journal Article
Efficient ℓ 0 ‐norm feature selection based on augmented and penalized minimization
Li, Xiang, Xie, Shanghong, Zeng, Donglin, Wang, Yuanjia
Published in Statistics in medicine (10.02.2018)
Published in Statistics in medicine (10.02.2018)
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Journal Article