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Samira Khorshidi
Samira Khorshidi
ML Research Engineer, Apple Inc.
Verified email at apple.com - Homepage
Title
Cited by
Cited by
Year
Explaining crime diversity with Google street view
S Khorshidi, J Carter, G Mohler, G Tita
Journal of Quantitative Criminology 37 (2), 361-391, 2021
312021
The role of graphlets in viral processes on networks
S Khorshidi, M Al Hasan, G Mohler, MB Short
Journal of Nonlinear Science 30 (5), 2309-2324, 2020
122020
Assessing GAN-based approaches for generative modeling of crime text reports
S Khorshidi, G Mohler, JG Carter
2020 IEEE International Conference on Intelligence and Security Informatics …, 2020
82020
Repurposing recidivism models for forecasting police officer use of force
S Khorshidi, JG Carter, G Mohler
2020 IEEE International Conference on Big Data (Big Data), 3199-3203, 2020
72020
Fleek: Factual error detection and correction with evidence retrieved from external knowledge
FF Bayat, K Qian, B Han, Y Sang, A Belyi, S Khorshidi, F Wu, IF Ilyas, Y Li
arXiv preprint arXiv:2310.17119, 2023
42023
A REVIEW OF HYBRID RECOMMENDER SYSTEMS.
BJ Abbaschian, S Khorshidi
Ad Alta: Journal of Interdisciplinary Research 7 (2), 2017
22017
Adversarial Attacks on Deep Temporal Point Process
S Khorshidi, B Wang, G Mohler
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
12022
Open Domain Knowledge Extraction for Knowledge Graphs
K Qian, A Belyi, F Wu, S Khorshidi, A Nikfarjam, R Khot, Y Sang, K Luna, ...
arXiv preprint arXiv:2312.09424, 2023
2023
FLEEK: Factual Error Detection and Correction with Evidence Retrieved from External Knowledge
F Fatahi Bayat, K Qian, B Han, Y Sang, A Belyi, S Khorshidi, F Wu, IF Ilyas, ...
arXiv e-prints, arXiv: 2310.17119, 2023
2023
Adversaria Attacks and Defense Mechanisms to Improve Robustness of Deep Temporal Point Processes
S Khorshidi
2022
Adversarial Attacks and Defense Mechanisms to Improve Robustness of Deep Temporal Point Processes
S Khorshidi
2022
Adversarial Machine Learning Automated Adversary Emulation for Cyber-Physical Systems via Reinforcement Learning 1 Arnab Bhattacharya, Thiagarajan Ramachandran, Sandeep Banik …
B Du, P Singhal, V Benjamin, W Li, K Rana, R Madaan, S Khorshidi, ...
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