Probabilistic Autoencoder Using Fisher Information by Johannes Zacherl, Philipp Frank, Torsten A. Enßlin

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Efficacy of Smoothing Algorithms to Enhance Detection of Visual Field Progression in Glaucoma by Vahid Mohammadzadeh, MD, Leyan Li, MS, Zhe Fei, PhD, Tyler Davis, MS, Esteban Morales, MS, Kara Wu, BS, Elise Lee Ma, MD, PhD, Abdelmonem Afifi, PhD, Kouros Nouri-Mahdavi, MD, MS, Joseph Caprioli, MD

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Reinforcement Learning With Vision-Proprioception Model for Robot Planar Pushing by Lin Cong, Hongzhuo Liang, Philipp Ruppel, Yunlei Shi, Michael Görner, Norman Hendrich, Jianwei Zhang

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Data Augmentation for a Virtual-Sensor-Based Nitrogen and Phosphorus Monitoring by Thulane Paepae, Pitshou N. Bokoro, Kyandoghere Kyamakya

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Diversifying Emotional Dialogue Generation via Selective Adversarial Training by Bo Li, Huan Zhao, Zixing Zhang

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Deep generative model for probabilistic wind speed and wind power estimation at a wind farm by Andrés A. Salazar, Jiafeng Zheng, Yuzhang Che, Feng Xiao

Subjects: “…convolutional variational autoencoder…”
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Data augmentation and machine learning techniques for control strategy development in bio-polymerization process by Sizhou Wei, Zhiyuan Chen, Senthil Kumar Arumugasamy, Irene Mei Leng Chew

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An Attention Mechanism for Combination of CNN and VAE for Image-Based Malware Classification by Tuan Van Dao, Hiroshi Sato, Masao Kubo

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Anomaly Detection on Univariate Sensing Time Series Data for Smart Aquaculture Using Deep Learning by Petkovski Aleksandar, Shehu Visar

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CBN-VAE: A Data Compression Model with Efficient Convolutional Structure for Wireless Sensor Networks by Jianlin Liu, Fenxiong Chen, Jun Yan, Dianhong Wang

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CASTELO: clustered atom subtypes aided lead optimization—a combined machine learning and molecular modeling method by Leili Zhang, Giacomo Domeniconi, Chih-Chieh Yang, Seung-gu Kang, Ruhong Zhou, Guojing Cong

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Variational Generative Adversarial Network with Crossed Spatial and Spectral Interactions for Hyperspectral Image Classification by Zhongwei Li, Xue Zhu, Ziqi Xin, Fangming Guo, Xingshuai Cui, Leiquan Wang

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A New Deep Stacked Architecture for Multi-Fault Machinery Identification With Imbalanced Samples by Hanen Karamti, Maha M. A. Lashin, Fadwa M. Alrowais, Abeer M. Mahmoud

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Exploring the Intrinsic Probability Distribution for Hyperspectral Anomaly Detection by Shaoqi Yu, Xiaorun Li, Shuhan Chen, Liaoying Zhao

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Multi-Dimensional Information Alignment in Different Modalities for Generalized Zero-Shot and Few-Shot Learning by Jiyan Cai, Libing Wu, Dan Wu, Jianxin Li, Xianfeng Wu

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Dual-Encoder VAE-GAN With Spatiotemporal Features for Emotional EEG Data Augmentation by Chenxi Tian, Yuliang Ma, Jared Cammon, Feng Fang, Yingchun Zhang, Ming Meng

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Enhancing biomechanical machine learning with limited data: generating realistic synthetic posture data using generative artificial intelligence by Carlo Dindorf, Jonas Dully, Jürgen Konradi, Claudia Wolf, Stephan Becker, Steven Simon, Janine Huthwelker, Frederike Werthmann, Johanna Kniepert, Philipp Drees, Ulrich Betz, Michael Fröhlich

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Molecular Design Learned from the Natural Product Porphyra-334: Molecular Generation via Chemical Variational Autoencoder versus Database Mining via Similarity Search, A Comparative Study by Yuki Harada, Makoto Hatakeyama, Shuichi Maeda, Qi Gao, Kenichi Koizumi, Yuki Sakamoto, Yuuki Ono, Shinichiro Nakamura

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Image Authentication and Restoration Using Block-Wise Variational Automatic Encoding and Generative Adversarial Networks by Chin-Feng Lee, Chin-Ting Yeh, Jau-Ji Shen, Taeshik Shon

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Multiple treatment effect estimation for business analytics using observational data by Yuki Tsuboi, Yuta Sakai, Ryotaro Shimizu, Masayuki Goto

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