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Khurram Yamin
Khurram Yamin
Carnegie Mellon Machine Learning Department
Verified email at gatech.edu
Title
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Cited by
Year
Early detection of COVID-19 hotspots using spatio-temporal data
S Zhu, A Bukharin, L Xie, K Yamin, S Yang, P Keskinocak, Y Xie
IEEE Journal of Selected Topics in Signal Processing 16 (2), 250-260, 2022
122022
Online Detection Of Supply Chain Network Disruptions Using Sequential Change-Point Detection for Hawkes Processes
K Yamin, H Wang, B Montreuil, Y Xie
arXiv preprint arXiv:2211.12091, 2022
42022
Novelty detection for election fraud: A case study with agent‐based simulation data
K Yamin, N Jadali, Y Xie, D Nazzal
AI Magazine 44 (3), 255-262, 2023
22023
Failure Modes of LLMs for Causal Reasoning on Narratives
K Yamin, S Gupta, GR Ghosal, ZC Lipton, B Wilder
arXiv preprint arXiv:2410.23884, 2024
12024
An Unsupervised Density Based Clustering Algorithm to Detect Election Anomalies: Evidence from Georgia’s Largest County
K Yamin, M Oswald, N Jadali, Y Xie, E Zegura, D Nazzal
Proceedings of the 5th ACM SIGCAS/SIGCHI Conference on Computing and …, 2022
12022
Accounting for Missing Covariates in Heterogeneous Treatment Estimation
K Yamin, V Sharma, E Kennedy, B Wilder
arXiv preprint arXiv:2410.15655, 2024
2024
Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data (preprint)
S Zhu, A Bukharin, L Xie, K Yamin, S Yang, P Keskinocak, Y Xie
2021
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