Credit Card Fraud Detection Based on Improved Variational Autoencoder Generative Adversarial Network by Yuanming Ding, Wei Kang, Jianxin Feng, Bo Peng, Anna Yang

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Compressed graph representation for scalable molecular graph generation by Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Kyoham Shin, Seokho Kang

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System Condition Monitoring Based on a Standardized Latent Space and the Nataf Transform by Adaiton Oliveira-Filho, Ryad Zemouri, Francis Pelletier, Antoine Tahan

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An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoders by Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini

Subjects: “…variational autoencoder…”
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Research on anomaly detection algorithm based on sparse variational autoencoder using spike and slab prior by Huahua CHEN, Zhe CHEN

Subjects: “…anomaly detection;variational autoencoder;spike and slab distribution;deep support vector network…”
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Generative Feature Extraction From Sentinel 1 and 2 Data for Prediction of Forest Aboveground Biomass in the Italian Alps by Parth Naik, Michele Dalponte, Lorenzo Bruzzone

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DESP: Deep Enhanced Sampling of Proteins’ Conformation Spaces Using AI-Inspired Biasing Forces by Emmanuel Oluwatobi Salawu

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Highly Productive 3D Printing Process to Transcend Intractability in Materials and Geometries via Interactive Machine‐Learning‐Based Technique by Yuseok Kim, Suk Hee Park

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Variational Recommendation Algorithm Based on Differential Hamming Distance by DONG Jia-wei, SUN Fu-zhen, WU Xiang-shuai, WU Tian-hui, WANG Shao-qing

Subjects: “…hamming distance|differential hamming distance|bit weights|recommendation algorithm|variational autoencoder…”
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Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT by Manuel Lopez-Martin, Belen Carro, Antonio Sanchez-Esguevillas, Jaime Lloret

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On the Road With 16 Neurons: Towards Interpretable and Manipulable Latent Representations for Visual Predictions in Driving Scenarios by Alice Plebe, Mauro Da Lio

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A topical VAEGAN-IHMM approach for automatic story segmentation by Jia Yu, Huiling Peng, Guoqiang Wang, Nianfeng Shi

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A novel deep learning framework for rolling bearing fault diagnosis enhancement using VAE-augmented CNN model by Yu Wang, Dexiong Li, Lei Li, Runde Sun, Shuqing Wang

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A Transformer-Based Hierarchical Variational AutoEncoder Combined Hidden Markov Model for Long Text Generation by Kun Zhao, Hongwei Ding, Kai Ye, Xiaohui Cui

Subjects: “…Variational AutoEncoder…”
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Learned Image Compression With Separate Hyperprior Decoders by Zhao Zan, Chao Liu, Heming Sun, Xiaoyang Zeng, Yibo Fan

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Combining variational autoencoders and physical bias for improved microscopy data analysis by Arpan Biswas, Maxim Ziatdinov, Sergei V Kalinin

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Multi-view information fusion using multi-view variational autoencoder to predict proximal femoral fracture load by Chen Zhao, Joyce H. Keyak, Xuewei Cao, Qiuying Sha, Li Wu, Zhe Luo, Lan-Juan Zhao, Qing Tian, Michael Serou, Chuan Qiu, Kuan-Jui Su, Hui Shen, Hong-Wen Deng, Weihua Zhou, Weihua Zhou

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Loop closure detection of visual SLAM based on variational autoencoder by Shibin Song, Fengjie Yu, Xiaojie Jiang, Jie Zhu, Weihao Cheng, Xiao Fang

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Early Detection and Diagnosis of Wind Turbine Abnormal Conditions Using an Interpretable Supervised Variational Autoencoder Model by Adaiton Oliveira-Filho, Ryad Zemouri, Philippe Cambron, Antoine Tahan

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Multi-label Classification Based on Label-Aware Variational Autoencoder by SUN Hongjian, XU Pengyu, LIU Bing, JING Liping, YU Jian

Subjects: “…multi-label classification; embedded space learning; variational autoencoder; transformer; label correlation…”
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