Výsledky vyhledávání - "adversarial autoencoder"

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  1. 1

    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

    ISSN: 1361-8415, 1361-8423, 1361-8423
    Vydáno: Elsevier B.V 01.11.2022
    Vydáno v Medical image analysis (01.11.2022)
    “…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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    Journal Article
  2. 2

    Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction Autor Han, Mo, Ozdenizci, Ozan, Wang, Ye, Koike-Akino, Toshiaki, Erdogmus, Deniz

    ISSN: 1070-9908, 1558-2361
    Vydáno: United States IEEE 2020
    “… 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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    Journal Article
  3. 3

    L2G-ECG: Learning to Generate Missing Leads in ECG Signals using Adversarial Autoencoder Autor Srivastava, Apoorva, Sheet, Debdoot, Patra, Amit

    ISSN: 2168-2194, 2168-2208, 2168-2208
    Vydáno: United States IEEE 09.07.2025
    “…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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    Journal Article
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  5. 5

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

    ISSN: 0021-9290, 1873-2380, 1873-2380
    Vydáno: United States Elsevier Ltd 16.04.2020
    Vydáno v Journal of Biomechanics (16.04.2020)
    “… 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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    Journal Article
  6. 6

    Estimation of Clinical Tremor using Spatio-Temporal Adversarial AutoEncoder Autor Zhang, Li, Koesmahargyo, Vidya, Galatzer-Levy, Isaac

    Vydáno: IEEE 10.01.2021
    “… 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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    Konferenční příspěvek
  7. 7

    Reinforced seq2seq adversarial autoencoder for de novo molecular design Autor Putin, E.O.

    ISSN: 2226-1494, 2500-0373
    Vydáno: ITMO University 01.11.2018
    “…Subject of Research.The modern models of deep training for generation of target small organic molecules are studied…”
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    Journal Article
  8. 8

    REINFORCED SEQ2SEQ ADVERSARIAL AUTOENCODER FOR DE NOVO MOLECULAR DESIGN Autor Putin, E O

    ISSN: 2226-1494, 2500-0373
    Vydáno: Saint Petersburg St. Petersburg National Research University of Information Technologies, Mechanics and Optics 01.01.2018
    “…Subject of Research.The modern models of deep training for generation of target small organic molecules are studied…”
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    Journal Article
  9. 9

    Photorealistic facial expression synthesis by the conditional difference adversarial autoencoder Autor Zhou, Yuqian, Shi, Bertram Emil

    ISSN: 2156-8111
    Vydáno: IEEE 01.10.2017
    “… In this paper, we propose the conditional difference adversarial autoencoder (CDAAE) for facial expression synthesis…”
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    Konferenční příspěvek
  10. 10

    Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction Autor Han, Mo, Ozdenizci, Ozan, Wang, Ye, Koike-Akino, Toshiaki, Erdogmus, Deniz

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 26.08.2020
    Vydáno v arXiv.org (26.08.2020)
    “… 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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    Paper
  11. 11

    Photorealistic Facial Expression Synthesis by the Conditional Difference Adversarial Autoencoder Autor Zhou, Yuqian, Shi, Bertram Emil

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 30.08.2017
    Vydáno v arXiv.org (30.08.2017)
    “… In this paper, we propose the conditional difference adversarial autoencoder, CDAAE, for facial expression synthesis…”
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    Paper
  12. 12

    Extracting Explainable Deep Representation for Machine Tutoring Autor Wang, Ming-Chen, Golderzahi, Vahid, Pao, Hsing-Kuo

    Vydáno: IEEE 01.12.2019
    “…In this work, we propose a machine tutoring framework through a modified Adversarial AutoEncoder(AAE…”
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    Konferenční příspěvek
  13. 13

    Understanding and mitigating the impact of race with adversarial autoencoders Autor Sarullo, Kathryn, Swamidass, S. Joshua

    ISSN: 2730-664X, 2730-664X
    Vydáno: London Nature Publishing Group UK 23.10.2024
    Vydáno v Communications medicine (23.10.2024)
    “… 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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    Journal Article
  14. 14

    Domain adaptation for epileptic EEG classification using adversarial learning and Riemannian manifold Autor Peng, Peizhen, Xie, Liping, Zhang, Kanjian, Zhang, Jinxia, Yang, Lu, Wei, Haikun

    ISSN: 1746-8094, 1746-8108
    Vydáno: Elsevier Ltd 01.05.2022
    “…•The invariant feature subspace of various subjects is learned by performing variational inference in the adversarial autoencoders (AAE…”
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    Journal Article
  15. 15

    Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels Autor Galke, Lukas, Mai, Florian, Vagliano, Iacopo, Scherp, Ansgar

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 22.07.2019
    Vydáno v arXiv.org (22.07.2019)
    “…We present multi-modal adversarial autoencoders for recommendation and evaluate them on two different tasks…”
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    Paper
  16. 16

    Unsupervised detection of individual atrophy in Alzheimer's disease Autor Jin, Shichen, Zou, Peini, Han, Ying, Jiang, Jiehui

    ISSN: 2694-0604, 2694-0604
    Vydáno: United States IEEE 01.11.2021
    “… An unsupervised deep learning network based on Adversarial Autoencoders (AAE) was proposed to delineate the individual atrophy of AD patients…”
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    Konferenční příspěvek Journal Article
  17. 17

    UNSUPERVISED DEEP LEARNING FOR DETECTION OF BRAIN DISEASE IN MR IMAGING Autor Eisawy, Rami, Moosbauer, Julia, Finck, Tom, Zimmer, Claus, Menze, Bjorn, Pfister, Franz M.J, Wiestler, Benedikt

    ISSN: 1869-1439
    Vydáno: Springer 01.09.2019
    Vydáno v Clinical neuroradiology (Munich) (01.09.2019)
    “…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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    Journal Article
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    Automatic Face Understanding: Recognizing Families in Photos Autor Robinson, Joseph P

    ISBN: 9798557092777
    Vydáno: ProQuest Dissertations & Theses 01.01.2020
    “… We have several benchmarks in kinship verification, family classification, tri-subject verification, and large-scale search & retrieval…”
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    Dissertation
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    What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer Autor Gao, Pengyu, Xia, Siyu, Robinson, Joseph, Zhang, Junkang, Xia, Chao, Shao, Ming, Fu, Yun

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 16.11.2019
    Vydáno v arXiv.org (16.11.2019)
    “… 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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    Paper
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    The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models Autor Zhao, Shengjia, Song, Jiaming, Ermon, Stefano

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 08.07.2018
    Vydáno v arXiv.org (08.07.2018)
    “…, 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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    Paper