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Prediction of potential miRNA–disease associations based on stacked autoencoder
Wang, Chun-Chun, Li, Tian-Hao, Huang, Li, Chen, Xing
Published in Briefings in bioinformatics (10.03.2022)
Published in Briefings in bioinformatics (10.03.2022)
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A model-based collaborate filtering algorithm based on stacked AutoEncoder
Yu, Miao, Quan, Tianqi, Peng, Qinglong, Yu, Xu, Liu, Lei
Published in Neural computing & applications (01.02.2022)
Published in Neural computing & applications (01.02.2022)
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Semisupervised Stacked Autoencoder With Cotraining for Hyperspectral Image Classification
Zhou, Shaoguang, Xue, Zhaohui, Du, Peijun
Published in IEEE transactions on geoscience and remote sensing (01.06.2019)
Published in IEEE transactions on geoscience and remote sensing (01.06.2019)
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A Computational-Based Method for Predicting Drug-Target Interactions by Using Stacked Autoencoder Deep Neural Network
Wang, Lei, You, Zhu-Hong, Chen, Xing, Xia, Shi-Xiong, Liu, Feng, Yan, Xin, Zhou, Yong, Song, Ke-Jian
Published in Journal of computational biology (01.03.2018)
Published in Journal of computational biology (01.03.2018)
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δ-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting
Zhou, Teng, Han, Guoqiang, Xu, Xuemiao, Lin, Zhizhe, Han, Chu, Huang, Yuchang, Qin, Jing
Published in Neurocomputing (Amsterdam) (19.07.2017)
Published in Neurocomputing (Amsterdam) (19.07.2017)
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Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging
Zabalza, Jaime, Ren, Jinchang, Zheng, Jiangbin, Zhao, Huimin, Qing, Chunmei, Yang, Zhijing, Du, Peijun, Marshall, Stephen
Published in Neurocomputing (Amsterdam) (12.04.2016)
Published in Neurocomputing (Amsterdam) (12.04.2016)
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Transfer learning based on improved stacked autoencoder for bearing fault diagnosis
Luo, Shuyang, Huang, Xufeng, Wang, Yanzhi, Luo, Rongmin, Zhou, Qi
Published in Knowledge-based systems (28.11.2022)
Published in Knowledge-based systems (28.11.2022)
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High-Voltage Circuit Breaker Fault Diagnosis Using a Hybrid Feature Transformation Approach Based on Random Forest and Stacked Autoencoder
Ma, Suliang, Chen, Mingxuan, Wu, Jianwen, Wang, Yuhao, Jia, Bowen, Jiang, Yuan
Published in IEEE transactions on industrial electronics (1982) (01.12.2019)
Published in IEEE transactions on industrial electronics (1982) (01.12.2019)
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Classification and diagnosis of cervical cancer with softmax classification with stacked autoencoder
Adem, Kemal, Kiliçarslan, Serhat, Cömert, Onur
Published in Expert systems with applications (01.01.2019)
Published in Expert systems with applications (01.01.2019)
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Hourly PM2.5 concentration forecast using stacked autoencoder model with emphasis on seasonality
Bai, Yun, Li, Yong, Zeng, Bo, Li, Chuan, Zhang, Jin
Published in Journal of cleaner production (01.07.2019)
Published in Journal of cleaner production (01.07.2019)
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Prediction of miRNA–Disease Associations by Cascade Forest Model Based on Stacked Autoencoder
Hu, Xiang, Yin, Zhixiang, Zeng, Zhiliang, Peng, Yu
Published in Molecules (Basel, Switzerland) (27.06.2023)
Published in Molecules (Basel, Switzerland) (27.06.2023)
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