| Explaining crime diversity with Google street view S Khorshidi, J Carter, G Mohler, G Tita Journal of Quantitative Criminology 37 (2), 361-391, 2021 | 33 | 2021 |
| 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 | 13 | 2020 |
| 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 | 10 | 2023 |
| 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 | 9 | 2020 |
| 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 | 8 | 2020 |
| A REVIEW OF HYBRID RECOMMENDER SYSTEMS. BJ Abbaschian, S Khorshidi Ad Alta: Journal of Interdisciplinary Research 7 (2), 2017 | 5 | 2017 |
| 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 | 1 | 2023 |
| Adversarial Attacks on Deep Temporal Point Process S Khorshidi, B Wang, G Mohler 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 1 | 2022 |
| APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching K Qian, Y Sang, FF Bayat, A Belyi, X Chu, Y Govind, S Khorshidi, R Khot, ... arXiv preprint arXiv:2408.04637, 2024 | | 2024 |
| 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 |
| 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, ... | | |
George MohlerDaniel J. Fitzgerald Professor of Computer Science, Boston College在 bc.edu 的电子邮件经过验证
