Search Results - Amiridi, Magda

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  1. 1
    Low-Rank Characteristic Tensor Density Estimation Part I: Foundations

    Low-Rank Characteristic Tensor Density Estimation Part I: Foundations by Amiridi, Magda, Kargas, Nikos, Sidiropoulos, Nicholas D.

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  2. 2
    Low-Rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation

    Low-Rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation by Amiridi, Magda, Kargas, Nikos, Sidiropoulos, Nicholas D.

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  3. 3
    Information-Theoretic Feature Selection via Tensor Decomposition and Submodularity

    Information-Theoretic Feature Selection via Tensor Decomposition and Submodularity by Amiridi, Magda, Kargas, Nikos, Sidiropoulos, Nicholas D.

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  4. 4
    Enrollment Rate Prediction in Clinical Trials based on CDF Sketching and Tensor Factorization tools

    Enrollment Rate Prediction in Clinical Trials based on CDF Sketching and Tensor Factorization tools by Amiridi, Magda, Qian, Cheng, Sidiropoulos, Nicholas D., Glass, Lucas M.

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  5. 5
    From Gene Expression to Drug Response: A Collaborative Filtering Approach

    From Gene Expression to Drug Response: A Collaborative Filtering Approach by Qian, Cheng, Sidiropoulos, Nicholas D., Amiridi, Magda, Emad, Amin

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  6. 6
    Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation

    Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation by Amiridi, Magda, Kargas, Nikos, Sidiropoulos, Nicholas D

    Published in arXiv.org
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  7. 7
    Low-rank Characteristic Tensor Density Estimation Part I: Foundations

    Low-rank Characteristic Tensor Density Estimation Part I: Foundations by Amiridi, Magda, Kargas, Nikos, Sidiropoulos, Nicholas D

    Published in arXiv.org
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  8. 8
    Information-theoretic Feature Selection via Tensor Decomposition and Submodularity

    Information-theoretic Feature Selection via Tensor Decomposition and Submodularity by Amiridi, Magda, Kargas, Nikos, Sidiropoulos, Nicholas D

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  9. 9
    Learning Multivariate CDFs and Copulas using Tensor Factorization

    Learning Multivariate CDFs and Copulas using Tensor Factorization by Amiridi, Magda, Sidiropoulos, Nicholas D

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  10. 10
    Latent Temporal Flows for Multivariate Analysis of Wearables Data

    Latent Temporal Flows for Multivariate Analysis of Wearables Data by Amiridi, Magda, Darnell, Gregory, Jewell, Sean

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  11. 11
    From Gene Expression to Drug Response: A Collaborative Filtering Approach

    From Gene Expression to Drug Response: A Collaborative Filtering Approach by Cheng, Qian, Sidiropoulos, Nicholas D, Amiridi, Magda, Amin Emad

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