Intrusion detection process on the basis of VAE-GRU-XGBoost. حسب Yu Chen (29959)

Predictors of VAEs. حسب Derar H. Abdel-Qader (12353565)

"…It involved direct observation of vaccination administration practices by covert observers who recorded data on a standardized form, documenting the administration process, observed errors, and contextual factors, such as workload, distractions, and interruptions directly after each observation. …"

Training Loss of VAE. حسب Md. Fahim Ul Islam (22470251)

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VAE performance baseline. حسب Md. Fahim Ul Islam (22470251)

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Workflow for training the proposed W–VAE. حسب Blanca Vazquez (2525026)

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The hierarchy of the data and the VAE used in this study. حسب Richard Felius (19803632)

"…<p>Data were processed and split up into epochs of 512 samples with 6 dimensions (triaxial acceleration and angular velocity). …"

VAE structural model. حسب Jiandong Qiu (20389944)

Potential causes of VAEs (N = 317). حسب Derar H. Abdel-Qader (12353565)

"…It involved direct observation of vaccination administration practices by covert observers who recorded data on a standardized form, documenting the administration process, observed errors, and contextual factors, such as workload, distractions, and interruptions directly after each observation. …"

Architecture and workflow of LA-VAE. حسب Jianda Yue (22189662)

Overall architecture of the W–VAE proposed for imputing and augmenting data. W–VAE is conditioned by the labels from the murine model (healthy individual, acute-phase individual, a... حسب Blanca Vazquez (2525026)

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Schematic diagram of the VAE-IACGAN structure. حسب Jiandong Qiu (20389944)

Model specific parameters of VAE-IACGAN. حسب Jiandong Qiu (20389944)

"…To address this challenge, this paper proposes a supervised generative model that integrates an Improved Auxiliary Classifier Generative Adversarial Network (IACGAN) with a Variational Auto-Encoder (VAE). Firstly, the method employs the VAE as the generator, introducing latent variables with prior information to optimize the encoding and generation process; Secondly, an independent classifier network is integrated into the ACGAN framework to enhance compatibility between classification and discriminative capabilities. …"

BuDDI analysis of sciplex3 data حسب Natalie Davidson (11792696)

Workflow to evaluate the quality of the data generated from the proposed W–VAE in the multi-classification of healthy individuals, acute-phase individuals, and chronic-phase individuals with <i>T. cruzi</i> infection.... حسب Blanca Vazquez (2525026)

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Comparison of dimension-wise probability and correlation coefficients between W–VAE and the state-of-the-art to impute and augment data. The x-axis is the Bernoulli success probabi... حسب Blanca Vazquez (2525026)

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Data Sheet 1_Evaluating the impact of common clinical confounders on performance of deep-learning-based sepsis risk assessment.docx حسب Shikha Chaganti (8052863)

Performance of multi-classifiers in Task 1: Train real – Test real (without feature selection) as a percentage. Each column shows an evaluated missing rate, and each row indicates... حسب Blanca Vazquez (2525026)

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Workflow of the masking mechanism. Input is an <i>H</i> matrix of real multimodal data that is synthetically imputed with different missing rates. Output is an <i>X</i> matrix with... حسب Blanca Vazquez (2525026)

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Overview of the proposal methodology for the multi-classification of healthy individuals and individuals in the acute or chronic phase of <i>T. cruzi</i> infection using a deep gen... حسب Blanca Vazquez (2525026)

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Performance of multi-classifiers in Task 2: Train generated – Test real (without feature selection) expressed as a percentage. The intersection between the rows and columns shows t... حسب Blanca Vazquez (2525026)

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