Výsledky vyhledávání - "adversarial autoencoder"

Adversarial Autoencoder Network for Hyperspectral Unmixing Autor Jin, Qiwen, Ma, Yong, Fan, Fan, Huang, Jun, Mei, Xiaoguang, Ma, Jiayi

“…Spectral unmixing (SU), which refers to extracting basic features (i.e., endmembers) at the subpixel level and calculating the corresponding proportion (i.e.,…”
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Lifelong Generative Adversarial Autoencoder Autor Ye, Fei, Bors, Adrian G.

“…Lifelong learning describes an ability that enables humans to continually acquire and learn new information without forgetting. This capability, common to…”
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Age Progression/Regression by Conditional Adversarial Autoencoder Autor Zhifei Zhang, Yang Song, Hairong Qi

“…If I provide you a face image of mine (without telling you the actual age when I took the picture) and a large amount of face images that I crawled (containing…”
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Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery Autor Polykovskiy, Daniil, Zhebrak, Alexander, Vetrov, Dmitry, Ivanenkov, Yan, Aladinskiy, Vladimir, Mamoshina, Polina, Bozdaganyan, Marine, Aliper, Alexander, Zhavoronkov, Alex, Kadurin, Artur

“… In this article, we propose a new generative architecture, entangled conditional adversarial autoencoder, that generates molecular structures based on various properties, such as activity against…”
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Learning to Generate SAR Images With Adversarial Autoencoder Autor Song, Qian, Xu, Feng, Zhu, Xiao Xiang, Jin, Ya-Qiu

“… A novel adversarial autoencoder (AAE) is then proposed as an SAR representation and generation network…”
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Center-Aware Adversarial Autoencoder for Anomaly Detection Autor Li, Daoming, Tao, Qinghua, Liu, Jiahao, Wang, Huangang

“… To this end, we propose a center-aware adversarial autoencoder (CA-AAE) method, which detects anomaly samples by acquiring more compact and discriminative subspace representations…”
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Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection Autor Wu, Jingyao, Zhao, Zhibin, Sun, Chuang, Yan, Ruqiang, Chen, Xuefeng

“… In this article, anomaly detection is modeled as a one-class classification problem. Based on the scenario that the training data only include healthy state data, a fault-attention generative probabilistic adversarial autoencoder (FGPAA…”
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Generating sequential electronic health records using dual adversarial autoencoder Autor Lee, Dongha, Yu, Hwanjo, Jiang, Xiaoqian, Rogith, Deevakar, Gudala, Meghana, Tejani, Mubeen, Zhang, Qiuchen, Xiong, Li

“… We propose a dual adversarial autoencoder (DAAE), which learns set-valued sequences of medical entities, by combining a recurrent autoencoder with 2 generative adversarial networks (GANs…”
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Drug–drug interaction prediction with Wasserstein Adversarial Autoencoder-based knowledge graph embeddings Autor Dai, Yuanfei, Guo, Chenhao, Guo, Wenzhong, Eickhoff, Carsten

“… As a consequence, these samples are often too simplistic to train an effective model. In this paper, we propose a new KG embedding framework by introducing adversarial autoencoders (AAEs…”
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druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico Autor Kadurin, Artur, Nikolenko, Sergey, Khrabrov, Kuzma, Aliper, Alex, Zhavoronkov, Alex

“… In our recent work, we demonstrated a proof-of-concept of implementing deep generative adversarial autoencoder (AAE…”
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Reducing variations in multi-center Alzheimer’s disease classification with convolutional adversarial autoencoder Autor Cobbinah, Bernard M., Sorg, Christian, Yang, Qinli, Ternblom, Arvid, Zheng, Changgang, Han, Wei, Che, Liwei, Shao, Junming

“…Based on brain magnetic resonance imaging (MRI), multiple variations ranging from MRI scanners to center-specific parameter settings, imaging protocols, and…”
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Adversarial Autoencoder Based Feature Learning for Fault Detection in Industrial Processes Autor Jang, Kyojin, Hong, Seokyoung, Kim, Minsu, Na, Jonggeol, Moon, Il

“… In this study, we propose an adversarial autoencoder (AAE) based process monitoring system. AAE which combines the advantages of a variational autoencoder and a generative…”
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Adversarial AutoEncoder-Based Large-Scale Dynamic Multiobjective Evolutionary Algorithm Autor Li, Chenyang, Yen, Gary G., He, Zhenan

“… challenges of massive search space, dynamic environmental changes and multiobjective conflicts simultaneously. This article proposes an adversarial autoencoder-based large-scale dynamic multiobjective evolutionary framework…”
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Evolutionary Adversarial Autoencoder for Unsupervised Anomaly Detection of Industrial Internet of Things Autor Zeng, Guo-Qiang, Yang, Yao-Wei, Lu, Kang-Di, Geng, Guang-Gang, Weng, Jian

“…The rapid growth of interconnected smart devices and advanced computing technologies in the industrial Internet of Things (IIoT) has significantly enhanced…”
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Video anomaly detection and localization via multivariate gaussian fully convolution adversarial autoencoder Autor Li, Nanjun, Chang, Faliang

“… Gaussian Fully Convolution Adversarial Autoencoder (MGFC-AAE), while the latent representations of anomalies…”
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Adversarial autoencoder for continuous sign language recognition Autor Kamal, Suhail Muhammad, Chen, Yidong, Li, Shaozi

“…Summary Sign language serves as a vital communication medium for the deaf community, encompassing a diverse array of signs conveyed through distinct hand…”
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Unsupervised learning-based framework for indirect structural health monitoring using adversarial autoencoder Autor Calderon Hurtado, A., Kaur, K., Makki Alamdari, M., Atroshchenko, E., Chang, K.C., Kim, C.W.

“… A data-driven approach based on adversarial autoencoder (AAE) by incorporating the generative capabilities of adversarial autoencoder and pre-processing techniques including frequency filtering and signal averaging is proposed…”
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Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages Autor Hu, Dan, Zhang, Han, Wu, Zhengwang, Wang, Fan, Wang, Li, Smith, J. Keith, Lin, Weili, Li, Gang, Shen, Dinggang

“…Effective fusion of structural magnetic resonance imaging (sMRI) and functional magnetic resonance imaging (fMRI) data has the potential to boost the accuracy…”
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Causal Adversarial Autoencoder for Disentangled SAR Image Representation and Few-Shot Target Recognition Autor Guo, Qian, Xu, Huilin, Xu, Feng

“…Lack of interpretability and weak generalization ability have become the major challenges with data-driven intelligent SAR-ATR technology, especially in…”
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An unsupervised adversarial autoencoder for cyber attack detection in power distribution grids Autor Zideh, Mehdi Jabbari, Khalghani, Mohammad Reza, Solanki, Sarika Khushalani

“… To address these challenges, this paper proposes an unsupervised adversarial autoencoder (AAE) model to detect FDIAs in unbalanced…”
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