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Khizar Qureshi

Mitigating the Backfire Effect Using Pacing and Leading
2022 · Qi Yang, Khizar Qureshi, et al. · Studies in computational intelligence · 16
Social media engagement and cryptocurrency performance
2023 · Khizar Qureshi, Tauhid Zaman · PLoS ONE · 15
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Mitigating the Backfire Effect Using Pacing and Leading
2020 · Yang, Qi, Qureshi, Khizar, et al. · arXiv (Cornell University) · 4
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Value-at-Risk: The Effect of Autoregression in a Quantile Process
2016 · Qureshi, Khizar · RePEc: Research Papers in Economics · 3
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The Impact of COVID-19 on Sports Betting Markets
2021 · Qureshi, Khizar, Zaman, Tauhid · arXiv (Cornell University) · 1
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Budget-Aware Routing for Long Clinical Text
2026 · Qureshi, Khizar, Martin, Geoffrey, et al. · arXiv (Cornell University)
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Emissions-Robust Portfolios
2026 · Qureshi, Khizar, Gao, H. Oliver · arXiv (Cornell University)
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Budget-Aware Routing for Long Clinical Text
2026 · Khizar Qureshi, Geoffrey Martin, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
Pairs Trading Using a Novel Graphical Matching Approach
2024 · Qureshi, Khizar, Zaman, Tauhid · RePEc: Research Papers in Economics
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Mitigating the Backfire Effect Using Pacing andLeading
2022 · Tauhid Zaman, Qi Yang, et al. · Research Square
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Mathematics of Trust: Controlled and Uncontrolled Influence in Social Systems
2021 · Khizar Qureshi, Eric Qiu · International Joint Conference on Neural Networks (IJCNN)
Deep Phenotyping Using Unsupervised Machine Learning of Hfpef Patients With Diabetes Mellitus in the Topcat Americas Cohort
2021 · Ian Atkinson, Kabir Al-Tariq, et al. · Journal of the American College of Cardiology
Deep Phenotyping by Unsupervised Machine Learning of Participants in the Bari 2d Trial
2021 · Gauri Dandi, Nuha Gani, et al. · Journal of the American College of Cardiology
Abstract 15572: Gender, Race, and Age Specific Baseline Predictors of All-cause Mortality in STICHES Trial Identified by Machine Learning
2020 · Ian C Atkinson, Anwar Husain, et al. · Circulation
Abstract 16998: Gender and Age Specific Baseline Predictors of MACE in PEACE Trial Identified by Machine Learning
2020 · Victoria Xin, Scout Hayashi, et al. · Circulation
Abstract 15971: Gender, Race, and Age Specific Baseline Predictors of All-Cause Mortality in BARI2D Trial Identified by Machine Learning
2020 · Zyannah Mallick, Nayab Mahmood, et al. · Circulation
Abstract 16309: Age Specific Baseline Predictors of All-cause Mortality in Systolic Blood Pressure Intervention Trial (SPRINT) Identified by Machine Learning
2020 · Nuha Gani, Anwar Husain, et al. · Circulation
Abstract 15924: Identification of Gender- and Age-specific Top Predictors of Hospitalization Due to Heart Failure Using Machine Learning in TOPCAT
2020 · Gauri Dandi, Nuha Gani, et al. · Circulation
Applications of Information Theory: Statistics and Statistical Mechanics
2016 · Qureshi, Khizar · arXiv (Cornell University)
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Mortgages and Refinancing
2016 · Qureshi, Khizar, Su, Cheng · RePEc: Research Papers in Economics
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Works count: 20
Citation count: 39
H-index: 3
I10-index: 2
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