Suchergebnisse - "Adversarial autoencoder"

Reducing variations in multi-center Alzheimer’s disease classification with convolutional adversarial autoencoder von 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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Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction von Han, Mo, Ozdenizci, Ozan, Wang, Ye, Koike-Akino, Toshiaki, Erdogmus, Deniz

“… Results on cross-subject transfer evaluations exhibit the benefits of the proposed framework, with up to <inline-formula><tex-math notation="LaTeX">8.8\%</tex-math></inline-formula> improvement in average accuracy of classification, and demonstrate adaptability to a broader range of subjects …”
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L2G-ECG: Learning to Generate Missing Leads in ECG Signals using Adversarial Autoencoder von Srivastava, Apoorva, Sheet, Debdoot, Patra, Amit

“… An electrocardiogram (ECG) is a clinically accepted record used for the diagnosis of cardiovascular diseases. The standard guideline to monitor heart health is …”
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Deep feature representation with online convolutional adversarial autoencoder for nonlinear process monitoring von Yang, Xu, Xiao, Jieshi, Huang, Jian, Peng, Kaixiang

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Adversarial autoencoder for visualization and classification of human activity: Application to a low-cost commercial force plate von Hernandez, Vincent, Kulić, Dana, Venture, Gentiane

“… For that purpose, a deep learning model called Adversarial AutoEncoder (AAE) is proposed to perform efficient data dimensionality reduction by considering unsupervised and semi-supervised adversarial training …”
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Estimation of Clinical Tremor using Spatio-Temporal Adversarial AutoEncoder von Zhang, Li, Koesmahargyo, Vidya, Galatzer-Levy, Isaac

“… In this work, we propose a spatio-temporal adversarial autoencoder (ST-AAE) for clinical assessment of hand tremor frequency and severity …”
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Reinforced seq2seq adversarial autoencoder for de novo molecular design von Putin, E.O.

“… Subject of Research.The modern models of deep training for generation of target small organic molecules are studied …”
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REINFORCED SEQ2SEQ ADVERSARIAL AUTOENCODER FOR DE NOVO MOLECULAR DESIGN von Putin, E O

“… Subject of Research.The modern models of deep training for generation of target small organic molecules are studied …”
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Photorealistic facial expression synthesis by the conditional difference adversarial autoencoder von Zhou, Yuqian, Shi, Bertram Emil

“… In this paper, we propose the conditional difference adversarial autoencoder (CDAAE) for facial expression synthesis …”
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Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction von Han, Mo, Ozdenizci, Ozan, Wang, Ye, Koike-Akino, Toshiaki, Erdogmus, Deniz

“… Results on cross-subject transfer evaluations exhibit the benefits of the proposed framework, with up to 8.8% improvement in average accuracy of classification, and demonstrate adaptability to a broader range of subjects …”
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Photorealistic Facial Expression Synthesis by the Conditional Difference Adversarial Autoencoder von Zhou, Yuqian, Shi, Bertram Emil

“… In this paper, we propose the conditional difference adversarial autoencoder, CDAAE, for facial expression synthesis …”
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Extracting Explainable Deep Representation for Machine Tutoring von Wang, Ming-Chen, Golderzahi, Vahid, Pao, Hsing-Kuo

“… In this work, we propose a machine tutoring framework through a modified Adversarial AutoEncoder(AAE …”
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Understanding and mitigating the impact of race with adversarial autoencoders von Sarullo, Kathryn, Swamidass, S. Joshua

“… The confounding effects of race on machine learning is an ongoing subject of research. This study aims to mitigate the impact of race on data-derived models, using an adversarial variational autoencoder (AVAE …”
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Domain adaptation for epileptic EEG classification using adversarial learning and Riemannian manifold von Peng, Peizhen, Xie, Liping, Zhang, Kanjian, Zhang, Jinxia, Yang, Lu, Wei, Haikun

“… •The invariant feature subspace of various subjects is learned by performing variational inference in the adversarial autoencoders (AAE …”
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Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels von Galke, Lukas, Mai, Florian, Vagliano, Iacopo, Scherp, Ansgar

“… We present multi-modal adversarial autoencoders for recommendation and evaluate them on two different tasks …”
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Unsupervised detection of individual atrophy in Alzheimer's disease von Jin, Shichen, Zou, Peini, Han, Ying, Jiang, Jiehui

“… An unsupervised deep learning network based on Adversarial Autoencoders (AAE) was proposed to delineate the individual atrophy of AD patients …”
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UNSUPERVISED DEEP LEARNING FOR DETECTION OF BRAIN DISEASE IN MR IMAGING von Eisawy, Rami, Moosbauer, Julia, Finck, Tom, Zimmer, Claus, Menze, Bjorn, Pfister, Franz M.J, Wiestler, Benedikt

“… Background: Manual detection and interpretation of suspicious findings in radiological exams is a slow and lengthy process, requiring the highest level of …”
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Automatic Face Understanding: Recognizing Families in Photos von Robinson, Joseph P

“… We have several benchmarks in kinship verification, family classification, tri-subject verification, and large-scale search & retrieval …”
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What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer von Gao, Pengyu, Xia, Siyu, Robinson, Joseph, Zhang, Junkang, Xia, Chao, Shao, Ming, Fu, Yun

“… The first stage includes a deep generative adversarial autoencoder conditioned on ages and genders to map between facial appearance and high-level features …”
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The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models von Zhao, Shengjia, Song, Jiaming, Ermon, Stefano

“… , adversarial autoencoders, AVB, AS-VAE and InfoVAE. Based on this observation, we provide an exhaustive characterization of the statistical and computational trade-offs made by all the …”
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