Search Results - Khezeli, Kia

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  1. 1
    Developing a fair and interpretable representation of the clock drawing test for mitigating low education and racial bias

    Developing a fair and interpretable representation of the clock drawing test for mitigating low education and racial bias by Zhang, Jiaqing, Bandyopadhyay, Sabyasachi, Kimmet, Faith, Wittmayer, Jack, Khezeli, Kia, Libon, David J., Price, Catherine C., Rashidi, Parisa

    Published in Scientific reports
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  2. 2
    COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation

    COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation by Sankaranarayanan, Saranya, Balan, Jagadheshwar, Walsh, Jesse R, Wu, Yanhong, Minnich, Sara, Piazza, Amy, Osborne, Collin, Oliver, Gavin R, Lesko, Jessica, Bates, Kathy L, Khezeli, Kia, Block, Darci R, DiGuardo, Margaret, Kreuter, Justin, O’Horo, John C, Kalantari, John, Klee, Eric W, Salama, Mohamed E, Kipp, Benjamin, Morice, William G, Jenkinson, Garrett

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  3. 3
    Risk-Sensitive Learning and Pricing for Demand Response

    Risk-Sensitive Learning and Pricing for Demand Response by Khezeli, Kia, Bitar, Eilyan

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  4. 4
    Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks

    Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks by Shickel, Benjamin, Silva, Brandon, Ozrazgat-Baslanti, Tezcan, Ren, Yuanfang, Khezeli, Kia, Guan, Ziyuan, Tighe, Patrick J, Bihorac, Azra, Rashidi, Parisa

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  5. 5
    A Source-Channel Separation Theorem With Application to the Source Broadcast Problem

    A Source-Channel Separation Theorem With Application to the Source Broadcast Problem by Khezeli, Kia, Jun Chen

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  6. 6
    Reinforcement Learning for Clinical Applications

    Reinforcement Learning for Clinical Applications by Khezeli, Kia, Siegel, Scott, Shickel, Benjamin, Ozrazgat-Baslanti, Tezcan, Bihorac, Azra, Rashidi, Parisa

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  7. 7
    Outer Bounds on the Admissible Source Region for Broadcast Channels With Correlated Sources

    Outer Bounds on the Admissible Source Region for Broadcast Channels With Correlated Sources by Khezeli, Kia, Jun Chen

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  8. 8
    Transformers and large language models in healthcare: A review

    Transformers and large language models in healthcare: A review by Nerella, Subhash, Bandyopadhyay, Sabyasachi, Zhang, Jiaqing, Contreras, Miguel, Siegel, Scott, Bumin, Aysegul, Silva, Brandon, Sena, Jessica, Shickel, Benjamin, Bihorac, Azra, Khezeli, Kia, Rashidi, Parisa

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  9. 9
    Safe Linear Stochastic Bandits

    Safe Linear Stochastic Bandits by Khezeli, Kia, Bitar, Eilyan

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  10. 10
    Learning to Buy (and Sell) Demand Response

    Learning to Buy (and Sell) Demand Response by Khezeli, Kia, Lin, Weixuan, Bitar, Eilyan

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  11. 11
    Learning to Buy (and Sell) Demand ResponseThis work was supported in part by NSF grant ECCS-1351621, NSF grant CNS-1239178, NSF grant IIP- 1632124, US DoE under the CERTS initiative, and the Simons Institute for the Theory of Computing

    Learning to Buy (and Sell) Demand ResponseThis work was supported in part by NSF grant ECCS-1351621, NSF grant CNS-1239178, NSF grant IIP- 1632124, US DoE under the CERTS initiativ... by Khezeli, Kia, Lin, Weixuan, Bitar, Eilyan

    Published in IFAC-PapersOnLine
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  12. 12
    Safe Linear Stochastic Bandits

    Safe Linear Stochastic Bandits by Khezeli, Kia, Bitar, Eilyan

    Published in arXiv.org
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  13. 13
    Transformers in Healthcare: A Survey

    Transformers in Healthcare: A Survey by Nerella, Subhash, Bandyopadhyay, Sabyasachi, Zhang, Jiaqing, Contreras, Miguel, Siegel, Scott, Bumin, Aysegul, Silva, Brandon, Sena, Jessica, Shickel, Benjamin, Bihorac, Azra, Khezeli, Kia, Rashidi, Parisa

    Published in arXiv.org
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  14. 14
    Risk-Sensitive Learning and Pricing for Demand Response

    Risk-Sensitive Learning and Pricing for Demand Response by Khezeli, Kia, Bitar, Eilyan

    Published in arXiv.org
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  15. 15
    AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing

    AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing by Nerella, Subhash, Guan, Ziyuan, Siegel, Scott, Zhang, Jiaqing, Zhu, Ruilin, Khezeli, Kia, Bihorac, Azra, Rashidi, Parisa

    Published in arXiv.org
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  16. 16
    An Online Learning Approach to Buying and Selling Demand Response

    An Online Learning Approach to Buying and Selling Demand Response by Khezeli, Kia, Bitar, Eilyan

    Published in arXiv.org
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  17. 17
    On Information Gain and Regret Bounds in Gaussian Process Bandits

    On Information Gain and Regret Bounds in Gaussian Process Bandits by Vakili, Sattar, Khezeli, Kia, Picheny, Victor

    Published in arXiv.org
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  18. 18
    On Invariance Penalties for Risk Minimization

    On Invariance Penalties for Risk Minimization by Khezeli, Kia, Blaas, Arno, Soboczenski, Frank, Chia, Nicholas, Kalantari, John

    Published in arXiv.org
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  19. 19
    A Source-Channel Separation Theorem with Application to the Source Broadcast Problem

    A Source-Channel Separation Theorem with Application to the Source Broadcast Problem by Khezeli, Kia, Chen, Jun

    Published in arXiv.org
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  20. 20
    End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units

    End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units by Nerella, Subhash, Khezeli, Kia, Davidson, Andrea, Tighe, Patrick, Bihorac, Azra, Rashidi, Parisa

    Published in arXiv.org
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